The Forrester Wave™: Big Data NoSQL, Q3 2016 · The Forrester Wave™: Big Data NoSQL, Q3 2016 Scalability, Multimodal, Flexibility, And Lower Cost Drive Enterprise Adoption Of

The Forrester Wave™: Big Data NoSQL, Q3 2016Scalability, Multimodal, Flexibility, And Lower Cost Drive Enterprise Adoption Of NoSQL

by Noel YuhannaAugust 17, 2016

For ENtErprisE ArchitEcturE proFEssioNAls

FOrrESTEr.COM

Key takeawaysFifteen Viable NoSQL DatabasesAmong the 15 vendors evaluated in this Forrester Wave, all offer competitive solutions that provide enterprise-scale NosQl solutions. the leaders offer credible support for large and complex deployments, while strong performers are ramping up their offering and scale to offer competitive options.

EA Pros Look At Scale, Automation, And Costthis market is growing largely because EA pros see NosQl as a strategic platform to support their next-generation applications and insights. When selecting a solution, look for scale-out architecture, security, automation, and cost as the key factors.

A Broader Stack Offering Can Be A Deal-MakerWhile all of the vendors offer compelling value and features, some NosQl vendors offer a broader range of tooling and services that enterprises can use to build integrated apps more easily.

Why read this reportthe demand for databases is on the rise as organizations build next-generation business applications. NosQl offers enterprise architecture (EA) pros new choices to store, process, and access new data formats, deliver extreme web-scale, and lower data management costs. Forrester’s 26-criteria evaluation of 15 big data NosQl solutions will help EA pros understand the choices available and recommend the best for their organization.

this report details our findings about how each vendor fulfills our criteria and where they stand in relation to each other to help EA.

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table of contents

The NoSQL Market Gains Momentum Across Industries

Big Data NoSQL Evaluation Overview

Evaluation criteria: current offering, strategy, And Market presence

Forrester’s NosQl Evaluation Assessed the capabilities of 15 Vendor offerings

Larger Providers Have An Edge With Broader Range Of Functionality

Vendor Profiles

leaders

strong performers

contender

Supplemental Material

Notes & resources

Forrester conducted product evaluations in June 2016 and interviewed 15 vendor companies: Aerospike, Amazon Web services, Basho technologies, couchbase, Datastax, Google, iBM, Mapr technologies, Marklogic, Microsoft, MongoDB, Neo technology, oracle, orientDB, and redis labs.

related research Documents

Market overview: Database-As-A-service

Market overview: Graph Databases

techradar™: Big Data, Q1 2016

For ENtErprisE ArchitEcturE proFEssioNAls

The Forrester Wave™: Big Data NoSQL, Q3 2016Scalability, Multimodal, Flexibility, And Lower Cost Drive Enterprise Adoption Of NoSQL

by Noel Yuhannawith Gene leganza and christian Austin

August 17, 2016

http://www.forrester.com/go?objectid=RES117837



http://www.forrester.com/go?objectid=BIO852

http://www.forrester.com/go?objectid=BIO794

For EntErprisE ArchitEcturE proFEssionAls

The Forrester Wave™: Big Data NoSQL, Q3 2016August 17, 2016

© 2016 Forrester research, inc. unauthorized copying or distributing is a violation of copyright law. [email protected] or +1 866-367-7378

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Scalability, Multimodal, Flexibility, And Lower Cost Drive Enterprise Adoption Of NoSQL

the NosQl Market Gains Momentum Across industries

NosQl is not an option — it has become a necessity to support next-generation applications. And increasingly, enterprises of all types and sizes are embracing NosQl to support their business technology (Bt) agenda. A key strength for NosQl is the ability to support scale-out architecture leveraging low-cost compute servers that are clustered to deliver performance of large, high-end sMp servers.1 in addition, its flexible schemaless model offers the ability to store, process, and access any type of customer and business data. Many enterprise architects see the opportunity in NosQl and are not standing idly by — 29% of technology decision-makers in our 2016 survey tell us they have either already implemented or are implementing NosQl technology; 12% are expanding or upgrading their implementations (see Figure 1).

Enterprises use NosQl primarily because it:

› Enables elastic scale to support dynamic workloads. NosQl’s shared nothing architecture makes it easy to support scale-out architecture, whether on-premises or cloud, to deliver high linear scalability. NosQl is suitable for a variety of scale-out applications including social network, customer analytical workloads, real-time reporting, embedded database applications, mobile applications, the internet of things (iot), and gaming applications.

› Supports flexible data models to support any type of data. unlike relational databases, NosQl can support structured, unstructured, and semistructured data to support new types of business applications. NosQl offers a more flexible approach in which the application, rather than the data store, defines the schema and access paths. NosQl supports a wide range of new data types, including textual types such as JsoN as well as many other unstructured and semistructured data types.

› Delivers extreme read and write capabilities for demanding customer apps. Applications that demand extensive data reads and writes often experience excessive latency input/output (i/o) bottlenecks, especially when the app has high volumes of both. NosQl database management systems (DBMses) are very efficient at reading very large amounts of data.

› Simplifies data management for any type of application. Not only does deploying traditional databases take time and effort — managing them requires specialized database administrators (DBAs), and designing data structures could take months. NosQl accelerates deployment through automation and simplification processes, provisioning capabilities, and flexible data structures. When using NosQl, application developers have complete control over data storage and access and don’t need a DBA to support the NosQl data store.

› Lowers data management cost. Many NosQl solutions are open source, and others sell for much less than a full version of a commercial relational DBMs. compared with conventional DBMses, enterprises report that NosQl products saved them more than 50% of the cost.




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FIGUrE 1 Enterprise Architects Are seeing the opportunity in NosQl

Not interested

Interested but no immediate plans(within the next 12 months)

Planning to implement withinthe next 12 months

Implementing/implemented

Expanding/upgrading implementation

Don’t know

13%

16%

20%

29%

12%

9%

“What are your firm’s plans to use distributed NoSQL databases?”

Base: 2,094 data and analytics technology decision-makers(percentages do not total 100 due to rounding)

Source: Forrester’s Global Business Technographics® Data And Analytics Survey, 2016

Big Data NosQl Evaluation overview

to assess the state of the market and see how the vendors stack up against each other, Forrester evaluated the strengths and weaknesses of 15 top commercial NosQl vendors: Aerospike, Amazon Web services (AWs), Basho technologies, couchbase, Datastax, Google, iBM, Marklogic, Mapr technologies, MongoDB, Microsoft, Neo technology, oracle, orientDB, and redis labs.

Evaluation Criteria: Current Offering, Strategy, And Market Presence

After examining past research, user requirements, and vendor interviews, we developed a comprehensive set of 26 evaluation criteria, which we grouped into three high-level buckets:

› Current offering. We evaluated each product’s application development, streaming, loading, data consistency, transactional support, data security, big data support, multimodel, deployment architecture, scalability, performance, in-memory, high availability, and other features and functionality to establish the capabilities of the vendor’s current offering. All products evaluated must have been publicly available by June 1, 2016.

› Strategy. We reviewed each vendor’s strategy to assess their ability to compete and grow in the commercial NosQl market. Key criteria include Forrester’s level of confidence in the vendor’s ability to execute on its stated strategy and support current and future customers. Forrester also reviewed each vendor’s product road map to assess how it will affect the vendor’s competitive position compared with the other vendors in this evaluation.




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› Market presence. to determine each vendor’s market presence, we evaluated overall NosQl product revenue, install base, market awareness, partnerships, and reach.

Forrester’s NoSQL Evaluation Assessed The Capabilities Of 15 Vendor Offerings

Each of the 15 vendors (Aerospike, Amazon Web services, Basho technologies, couchbase, Datastax, Google, iBM, Marklogic, Mapr technologies, MongoDB, Microsoft, Neo technologies, oracle, orientDB, and redis labs) included in our evaluation has (see Figure 2):

› A comprehensive enterprise-class NoSQL database offering. the vendor must offer the following core NosQl components, tools, and features: 1) core NosQl features and functionality including support for high availability, concurrency, security, performance, scalability, and administration; 2) data storage for persistence, integrity, storage, backup, and access; 3) native tools developed by the vendor or integration with third-party vendors to support data loading, unloading, security management, integration, data quality, archiving, and so on; 4) AciD compliance or eventual consistency; 5) flexible data models; 6) multiple concurrent queries, transactions, and operational reporting; and 7) the ability to be deployed on-premises or in the cloud.

› A standalone NoSQL solution. the solution should not be technologically tied or bundled to any particular application, product, or solution. the vendor must market the NosQl DBMs as a standalone NosQl product. A customer should be able to buy the DBMs independent of other product offerings.

› A referenceable install base. there should be 10 or more unique enterprise customers using the NosQl product that span more than one major geographical region.

› A publicly available product. the participating vendors must have actively marketed NosQl product as of June 1, 2016.

› Customer interest. Forrester included only vendors that were mentioned by customers in at least 10 separate Forrester inquiry calls during the past 12 months.

› Client inquiries and/or technologies that put the vendor on Forrester’s radar. Forrester clients often discuss the vendors and products through inquiries and interviews; alternatively, the vendor may, in Forrester’s judgment, have warranted inclusion or exclusion in this evaluation because of technology trends and market presence.




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FIGUrE 2 Evaluated Vendors: product information

Vendor

Aerospike

Amazon Web Services

Basho Technologies

Couchbase

DataStax

Google

IBM

MapR Technologies

MarkLogic

Microsoft

MongoDB

Neo Technology

Oracle

OrientDB

Redis Labs

Product evaluated

Aerospike

Amazon DynamoDB and Amazon ElastiCache

Riak KV — NoSQL key-value databaseRiak TS — NoSQL time series databaseRiak S2 — large object store

Couchbase

DataStax Enterprise

Cloud Datastore

IBM Cloudant

MapR-DB (MapR Converged Data Platform)

MarkLogic

Azure DocumentDB

MongoDB

Neo4j

Oracle NoSQL Database

OrientDB

Redis Labs Enterprise Cluster

Product versionevaluated

N/A

N/A

Riak KV — 2.1.4Riak TS — 1.3

Riak S2 — 2.1.2

4.0

4.8

N/A

N/A

5.1

8

N/A

3.2

3.0

4.0

2.2.0

4.2




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FIGUrE 2 Evaluated Vendors: product information (cont.)

Vendor selection criteria

Comprehensive enterprise-class NoSQL database offering. The vendor must offer the following core NoSQL components, tools, and features: 1) core NoSQL features and functionality including support for high availability, concurrency, security, performance, scalability, and administration; 2) data storage for persistence, integrity, storage, backup, and access; 3) native tools developed by the vendor or integration with third-party vendors to support data loading, unloading, security management, integration, data quality, archiving, and so on; 4) ACID compliance or eventually consistency; 5) �exible data models; 6) multiple concurrent queries, transactions, and operational reporting; and 7) the ability to be deployed on-premises or in the cloud.

Standalone NoSQL solution. The solution should not be technologically tied or bundled to any particular application, product, or solution. The vendor must market the NoSQL as a standalone NoSQL product. A customer should be able to buy the NoSQL independent of other product offerings.

Referenceable install base. There should be 10 or more unique enterprise customers using the NoSQL product that span more than one major geographical region.

Publicly available. The participating vendors must have actively marketed NoSQL product as of the date of product demos.

Customer interest. Forrester included only vendors that were mentioned by customers in at least 10 separate Forrester inquiry calls during the past 12 months.

Client inquiries and/or technologies that put the vendor on Forrester’s radar. Forrester clients often discuss the vendors and products through inquiries and interviews; alternatively, the vendor may, in Forrester’s judgment, have warranted inclusion or exclusion in this evaluation because of technology trends and market presence.




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larger providers have An Edge With Broader range of Functionality

Forrester’s evaluation of big data NosQl uncovered a market with nine leaders, five strong performers, and one contender (see Figure 3):

› Nine vendors lead with the strongest offerings. MongoDB is shortlisted by EA pros for its document capabilities, security, tooling, and services. Amazon Web services is the most popular cloud NosQl DBMs, offering related services such as backup, disaster recovery, and hadoop integration. Datastax has strong capabilities for applications that demand data distribution across data centers and the cloud leveraging the Apache cassandra platform. Marklogic’s mature multimodel database has some of the largest NosQl deployments across industries. iBM cloudant is a cloud-based database service offering zero-configuration automation. couchbase offers ease of use for document-oriented databases. oracle offers distributed key-value database capabilities with integration with oracle relational databases. Mapr technologies’ multimodel database platform includes hadoop, spark, and event streaming. redis labs provides an enterprise-class version of the open source redis database in the form of a managed cloud service (redis cloud) as well as on-premises software (redis labs Enterprise cluster).

› Google, Basho, Neo Technology, Microsoft, and Aerospike are Strong Performers. A strong performer in a Forrester Wave dominated by leaders can still be a strong choice, especially if price/performance, broader big-data-as-a-service, integration-as-a-service, and NosQl appliances are important considerations. Google is aggressively ramping up its database offering with Google cloud Datastore and its recent cloud Bigtable announcement. Basho technologies continues to grow its install base, delivering a viable NosQl option for enterprises needing simplified deployments of distributed databases and optimization of time series data. Neo technology provides a leading graph database that offers AciD, native graph storage, and the processing capabilities of Neo4J’s open source database. Microsoft’s cloud-based DocumentDB has done well considering its late start, offering good scale, performance, automation, security, and integration with Azure. Aerospike offers a fast NosQl database to support real-time workloads by leveraging memory and flash storage.

› OrientDB is a Contender. Although orientDB is not a leader or strong performer, it is a viable choice for enterprises looking for a low-cost NosQl solution with graph database capabilities and ease of use.




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FIGUrE 3 Forrester Wave™: Big Data NosQl, Q3 2016

Challengers Contenders LeadersStrong

Performers

StrategyWeak Strong

Currentoffering

Weak

Strong

Go to Forrester.com to

download the Forrester

Wave tool for more

detailed product

evaluations, feature

comparisons, and

customizable rankings.OrientDB

Aerospike

Google

Microsoft

NeoTechnology

IBM

OracleBasho Technologies

Redis Labs

DataStax

AWS

MarkLogic MongoDBCouchbase

MapR Technologies

Market presence




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FIGUrE 3 Forrester Wave™: Big Data NosQl, Q3 2016 (cont.)

CURRENT OFFERING Development

Deployment

STRATEGY Ability to execute

Road mapOpen source andlicensingProfessional servicesSupport

MARKET PRESENCE Product revenue

Install baseMarket awarenessPartnershipsReach

3.133.302.95

3.754.005.003.00

3.003.00

4.004.005.003.005.003.00

4.233.654.80

4.105.005.005.00

1.003.00

3.253.003.004.002.004.00

4.484.154.80

3.454.005.003.00

1.005.00

3.503.004.004.002.004.00

3.883.154.60

2.853.004.003.00

1.003.00

2.652.003.003.002.004.00

4.284.104.45

4.605.005.005.00

3.005.00

5.005.005.005.005.005.00

3.102.303.90

2.603.003.003.00

1.003.00

2.101.002.003.002.004.00

Forr

este

r’sW

eigh

ting

50%50%50%

50%25%25%25%

20%5%

0%30%25%30%10%5%

3.783.603.95

4.255.004.003.00

5.005.00

3.103.003.003.003.005.00

4.504.504.50

3.104.004.003.00

1.003.00

2.803.002.003.003.004.00

4.354.504.20

3.854.005.003.00

3.005.00

4.405.005.004.002.005.00

3.503.403.60

2.754.003.001.00

3.003.00

3.803.005.003.005.005.00

4.403.904.90

4.605.005.005.00

3.005.00

5.005.005.005.005.005.00

3.503.453.55

3.204.004.003.00

1.005.00

3.352.003.005.003.004.00

3.833.154.50

3.855.004.003.00

3.005.00

4.404.005.004.005.005.00

2.852.852.85

2.352.003.003.00

1.003.00

2.251.003.003.001.004.00

4.183.804.55

3.103.003.005.00

1.003.00

3.552.005.004.003.004.00

All scores are based on a scale of 0 (weak) to 5 (strong).

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Vendor profiles

While some vendors are leaders and others strong performers and contenders, all 15 NosQl vendors in this evaluation offer a credible solution to support new and emerging use cases. this evaluation of the big data NosQl market is intended to be a starting point only. We encourage clients to view detailed product evaluations and adapt criteria weightings to fit their individual needs through the Forrester Wave Excel-based vendor comparison tool. clients can also schedule an inquiry to have a conversation about the market and specific vendor products to discuss specific business and technology requirements.




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Leaders

› MongoDB remains the most popular NoSQL database. MongoDB is an open source NosQl document-oriented database optimized for natively storing, processing, and accessing documents and other types of data sets. With more than 2,000 paying customers, including more than half of the Fortune 100 companies, it’s popular among developers because it’s easy to use, scales to meet the most demanding applications, and offers the most comprehensive ecosystem of tools and partners. the product delivers auto-sharding, built-in replication, search, and mixed-workload capabilities. common use cases for MongoDB include personalization, real-time analytics, iot, big data, product/asset catalogs, security and fraud, mobile applications, data hub, content management, and social and collaboration applications.

› Amazon DynamoDB is the most popular NoSQL cloud database. Amazon DynamoDB is a fully managed NosQl cloud database platform that uses a solid-state drive (ssD) to store, process, and access data to support high performance and scale-driven applications. it automatically shards the data across servers based on the workload’s throughput and storage requirements and offers a seamless experience to handle larger high-performance use cases. customers can easily scale, monitor, and manage their tables both via Apis and the AWs Management console. Also, DynamoDB is tightly integrated with Amazon EMr, offering the ability to run queries that span multiple data sources. DynamoDB natively supports both key-value and document models and also has a library for geospatial indexing. Graph is now supported via the titanDB plug-in. Enterprises use DynamoDB to support a variety of use cases, including advertising campaigns, social media applications, tracking gaming information, collecting and analyzing sensor and log data, and ecommerce.

› DataStax leverages Apache Cassandra to go geodistributed across data centers. A strong value proposition for Datastax NosQl has been its global distributed architecture. Datastax distributes, contributes, and supports the commercial enterprise version of Apache cassandra — an open source project. cassandra is a wide-row store, distributed key-value database based on Google Bigtable. its key features include fault tolerance, scale-out architecture, low-latency data access, and simplified administration. Datastax provides additional features such as analytics, search, monitoring, in-memory, and security to support mission-critical applications. Datastax Enterprise (DsE) supports various types of business applications, including transactional, analytical, translytical, predictive analytics, and mixed workloads. the recently rolled-out DsE 5.0 offers broader multimodel capabilities with support for graph and JsoN data. top use cases seen with cassandra include fraud detection, product catalogs, consumer personalization, recommendation engines, and iot.

› MarkLogic has one of the most mature NoSQL databases, offering many use cases. Marklogic is the only NosQl document database vendor that has been offering a NosQl product for more than a decade. it provides enterprise-class capabilities to store, process, and access any kind of structured, unstructured, or semistructured data sets. Although Marklogic server is




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commercial licensed software, the firm also distributes some of its products under the Apache license. Marklogic runs on AWs, Azure, and Google cloud platform. customers most commonly deploy Marklogic for mixed workloads — including transactional, analytical, and operational. some customers use it for a 360-degree view of the customer, business, mobile, big data, healthcare, real-time analytics, fraud detection, information discovery, content delivery, and digital supply chain management.

› IBM Cloudant is starting to gain momentum for its NoSQL acquisition. iBM acquired cloudant in March 2014 to expand its database-as-a-service (DBaas) and provide firms with an ability to support a variety of use cases. it is an open source NosQl document cloud database based on the Apache couchDB project. customers predominantly deploy operational workloads for web and mobile apps dealing with high loads of concurrent users. iBM provides hosting, administrative tools, analytics, and support for cloudant, which has deployments spread across a variety of industries, including financial services, gaming, mobile device manufacturers, online learning, retail, and healthcare. hothead Games, a cloudant customer, has more than 500 nodes with several terabytes of data across different data centers.

› Couchbase offers a viable open source NoSQL DBMS to support broad use cases. couchbase server, an open source NosQl key-value and document database with built-in cache, appeals to enterprises that need a database that can deliver performance, multimodel, scale, and automation. Firms use couchbase to support social and mobile applications, content and metadata stores, ecommerce, and online gaming applications. couchbase provides full support for documents, flexible data model, indexing, full-text search, and Mapreduce for real-time analytics. it has some large customers (such as At&t, eBay, linkedin, McGraw hill Education, orbitz, and tesco) that use the product to support various mission-critical workloads, including operational, analytical, and mixed workloads.

› Oracle’s NoSQL is a viable option for Oracle customers. Although oracle’s NosQl database is not as popular as MongoDB and couchbase, it offers value to customers looking at AciD transactions; geodistributed data; application security with authentication and session-level ssl encryption; and integration with oracle Database, oracle Wallet, and hadoop. oracle NosQl is a key-value database that delivers good performance, scale, security, and high availability capabilities. Many oracle customers use oracle NosQl to balance the need for scale-out workloads of simpler key-value data with the rich set of relational data management capabilities needed in their core business systems — or when supporting new applications that have frequently changing key-value data, such as profiles for fraud, personalization, and sensor data management.

› Mapr Technologies offers a viable NoSQL platform. Mapr-DB is a NosQl database that’s part of the Mapr converged Data platform, which includes hadoop/spark, web-scale storage, event streaming, and ANsi sQl querying. it’s a multimodel database that features native support for JsoN documents. it also supports a wide column data model and Api to run existing Apache hBase applications. its unique capability is running NosQl operations, hadoop analytics, and




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event stream processing in the same cluster. customers like its ability to support petabyte scalability, integration with hadoop, data consistency, multimaster replication, and responsive data access. it supports encryption, masking, privileged user monitoring, auditing, and fine-grained access control to provide a secure database environment, along with full AciD compliance to ensure data integrity. customers are using Mapr-DB for many use cases, including a 360-degree view of customer, fraud detection, social networking, gaming, big data analytics, mobile, and iot.

› redis Labs offers a high-performing in-memory database platform. redis is an open source in-memory database platform whose development is currently sponsored by redis labs. redis supports both relaxed and strong consistency, a flexible schemaless model, high availability, and ease of deployment. redis labs developed additional features and technology that encapsulates the open source software and provides an enhanced deployment architecture for redis, while supporting the open source Api. the data model supports key-value; a variety of data structures such as lists, sets, bitmaps, and hashes; and an infinite range of models through pluggable modules such as search, graph, JsoN, and XMl. redis enables many use cases, including real-time analytics, transactions, data ingestion, translytical, social media, job management, message queuing, and caching.

Strong Performers

› Google Cloud Datastore delivers a viable NoSQL alternative. Google’s NosQl solution may not be as popular as MongoDB or couchbase, but customers like its performance, developer-level flexibility, and automated scalability. Google cloud Datastore is a schemaless database that supports automatic sharding, high availability, AciD transactions, strong consistency, sQl-like queries, indexes, and durability for various types of workloads. the platform’s rEstful interface can be accessed by any deployment target. use cases for cloud Datastore include transactional, operational, and mixed workloads as well as support for Mapreduce jobs. Google also made cloud Bigtable generally available in June 2016. cloud Bigtable is the same database that powers many cores Google services, including search, Analytics, Maps, and Gmail. it is designed to handle massive workloads at consistent low latency and high throughput, so it’s a great choice for both operational and analytical applications, including iot, user analytics, adtech, and financial data analysis.

› Basho riak is a viable NoSQL key-value with lots of potential. created by Basho technologies in 2008, riak is an open source distributed NosQl key-value database that focuses on high availability and scales on commodity hardware. riak offers broad database management features, such as multi-data-center replication, full-text search, secondary indexes, Mapreduce, and a graphical admin tool called riak control. riak, written in Erlang, can distribute data across nodes using consistent hashing in a key-value architecture. customers using riak KV include Best Buy, comcast, the National health service of the uK, openX, uber, and the Weather company. iBM’s softlayer division resells riak, and cisco systems partnered with Basho to develop a Mesos




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framework for optimizing the deployment of riak clusters across data centers. riak 2.0 integrates with the Apache solr search engine, which provides text search capabilities. Basho technologies offers professional services for riak through its partners.2

› Neo Technology’s Neo4j is the most popular graph database. Neo technology first released Neo4j, an open source NosQl property graph database, as beta software in 2007 under an open source license and then as a generally available commercial version in 2010. it supports transactional operations in the context of mission-critical systems running real-time queries. customer feedback indicates that Neo technology’s key strengths are its ability to support native storage and processing of graph data models and its full AciD-compliant, flexible data models, plus high performance for connected data. customers often use it for real-time recommendations, graph-based search, social networking, fraud detection, network and identity management, and master data management. Neo technology has more than 200 enterprise customers, including centurylink, cisco systems, eBay, hewlett packard Enterprise (hpE), lufthansa, Nomura holdings, telenor Group, uBs, and Walmart.

› Microsoft is a little late but has differentiated capabilities with lots of potential. in 2015 Microsoft made its NosQl debut with the general-availability release of DocumentDB — its NosQl database service. With its well-defined and relaxed consistency levels, guaranteed low latency, 99.99% availability service-level agreement, and ability to elastically scale throughput and storage globally, DocumentDB simplifies writing globally distributed applications for developers. it automatically indexes all data without requiring schema or secondary indices, supports rich sQl and Javascript queries, and offers multidocument AciD transactions. DocumentDB is used extensively inside Microsoft and its external use is growing rapidly. While Microsoft is late to the party, its large enterprise customer base, commitment, and broad technical and financial resources will likely accelerate DocumentDB’s innovation and growth in the coming years.

› Aerospike leverages in-memory to support apps that demand performance. Aerospike’s distributed database supports apps that demand performance and high availability. Aerospike is a NosQl key-value distributed database that provides horizontal scale and features a hybrid memory architecture designed for both DrAM and Flash storage, is deployed at scale in public and private clouds — as well as in data centers — and is provided as a dual-license product. top use cases for Aerospike include digital transformation as well as operational and transactional workloads to support customer analytics, advertising optimization, fraud detection, recommendation engines, and other decisioning workloads. customers include AppNexus, chango, eXelate, and inMobi, the largest of which process 50 billion ad impressions per day in data centers around the world, with each Aerospike server processing over 200,000 transactions per second (tps) with submillisecond latency on ssDs.




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Contender

› OrientDB delivers a high-performance graph database. orientDB is the key contributor to and supporter of orientDB, an open source NosQl graph database written in Java that was first released in 2010. orientDB supports both schemaless and schema-based modes and uses sQl as its query language for both structured and unstructured data on top of the traditional Gremlin and spArQl. customers often mention its multimodel engine, ease of use, reliable performance, and small footprint as core strengths. orientDB has a fully AciD-compliant graph database to support transactional and operational use cases. Key use cases for orientDB include social networking, recommendation engines, and fraud detection. customers deploying orientDB include centurylink, Ericsson, pitney Bowes, sky, and Warner Music.

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supplemental Material

Survey Methodology

Forrester’s Global Business technographics® Data And Analytics survey, 2016 was fielded in March 2016. this online survey included 3,343 respondents in Australia, Brazil, canada, china, France, Germany, india, New Zealand, the uK, and the us from companies with 100 or more employees.

Forrester’s Business technographics ensures that the final survey population contains only those with significant involvement in the planning, funding, and purchasing of business and technology products and services. research Now fielded this survey on behalf of Forrester. survey respondent incentives include points redeemable for gift certificates.

please note that the brand questions included in this survey should not be used to measure market share. the purpose of Forrester’s Business technographics brand questions is to show usage of a brand by a specific target audience at one point in time.

Online resource

the online version of Figure 3 is an Excel-based vendor comparison tool that provides detailed product evaluations and customizable rankings.

Data Sources Used In This Forrester Wave

Forrester used a combination of three data sources to assess the strengths and weaknesses of each solution:

› Vendor surveys. Forrester surveyed vendors on their capabilities as they relate to the evaluation criteria. once we analyzed the completed vendor surveys, we conducted vendor calls where necessary to gather details of vendor qualifications.

› Product briefings and demos. We asked vendors to conduct briefings and demonstrations of their product’s functionality. We used findings from these product briefings and demos to validate details of each vendor’s product capabilities.

› Customer reference calls. to validate product and vendor qualifications, Forrester also conducted reference calls or conducted surveys with at least one of each vendor’s current customers.

The Forrester Wave Methodology

We conduct primary research to develop a list of vendors that meet our criteria to be evaluated in this market. From that initial pool of vendors, we then narrow our final list. We choose these vendors based on: 1) product fit; 2) customer success; and 3) Forrester client demand. We eliminate vendors that have limited customer references and products that don’t fit the scope of our evaluation.




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After examining past research, user need assessments, and vendor and expert interviews, we develop the initial evaluation criteria. to evaluate the vendors and their products against our set of criteria, we gather details of product qualifications through a combination of lab evaluations, questionnaires, demos, and/or discussions with client references. We send evaluations to the vendors for their review, and we adjust the evaluations to provide the most accurate view of vendor offerings and strategies.

We set default weightings to reflect our analysis of the needs of large user companies — and/or other scenarios as outlined in the Forrester Wave document — and then score the vendors based on a clearly defined scale. these default weightings are intended only as a starting point, and we encourage readers to adapt the weightings to fit their individual needs through the Excel-based tool. the final scores generate the graphical depiction of the market based on current offering, strategy, and market presence. Forrester intends to update vendor evaluations regularly as product capabilities and vendor strategies evolve. For more information on the methodology that every Forrester Wave follows, go to http://www.forrester.com/marketing/policies/forrester-wave-methodology.html.

Integrity Policy

All of Forrester’s research, including Forrester Wave evaluations, is conducted according to our integrity policy. For more information, go to http://www.forrester.com/marketing/policies/integrity-policy.html.

Endnotes1 sMp: symmetric multiprocessing.

2 Basho technologies offers database processional services through its key partners that include A-trac, cascerta concepts, cluster technology, eplus, Erlang solutions, lilien systems, redapt, tokyo Electron Device, and trifork.

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