OpenGeo

• Who is OpenGeo?• Product• How to Engage

Overview

(The Open Planning Project)

In The Beginning

• From a side project of TOPP• To sustaining contract work• And the push to grow

Grow!

Towards OpenGeo

• OpenGeo is a product company• We provide support and customer

focused development for our products

• We are 501(C)(3) corporation with a dot.org business model

Overview

The OpenGeo Suite

The Geo Stack

The Rich Client

GeoExt is built on OpenLayers and Ext.js

OpenLayers is the defacto standard for

javascript mapping clients

Ext.js is a widely used javascript library for

rich internet applications

• Create tools to let developers make rich GUI desktop-like applications that leverage GIS operations

• But designed for their users who may not know ‘GIS’

• Many users get trained on GIS and then use the same 5 operations

• GeoExt plus Web Processing Service plus local storage (Gears or GeoServer)

• ‘ArcView 3 for the web’

GIS-based Applications

Vector editing in a javascript clientDesktop application look and feel

Through the Web Editing

The Cache

GeoServer

GeoWebCache

Persistent raster/KMLtile cache

• Caches tiles as used by most common slippy map interfaces

• Ideal for layers that rarely change

• Delivers raster/KML tiles to:• OpenLayers• Google Maps/ Earth• Microsoft Virtual Earth

• Speeds up data delivery by a factor or 10-100

GeoWebCache Integration

• Already serving IGN France’s full infrastructure: 50 servers total, external ones serve on average 30,000 unique visitors a day

• No license fees makes things friendly for the cloud

• Burst tile creation - EC2 or other to process tiles in hours, not weeks

• Clustering and fail over best practices and advice

Scalability

Geo

Server

Geo

Web

Cach

e

WFS 1.0

WMS 1.1.1

PostGISDB2OracleMySql

Shapefile

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ArcSDEWFS

PNG, GIFJPEGTIFF, GeoTIFFSVG, PDFKML/KMZ

Shapefile.zipGML2GML3GeoRSSGeoJSONCSV/XLSRaw vector

data

Servers

Styled maps

DBMS

Vector files

WFS 1.1

WCS 1.0

GeoTIFFArcGridGTopo30Img+worldMosaic MrSIDJPEG 2000ECW,Pyramid

Raster files

Raw rasterdata

GeoTIFFArcGridGTopo30Img+World

1.7.x

WCS 1.1

GWC KML superoverlaysGoogle maps tiles

• Problem: you have a huge data set you want to display on Google Earth• the generated KML is simply too big• the features you want to display have a

clear hierarchy• zoomed out, you want to display only the

most important ones, • less important should appear

progressively, as you zoom in, while leaving the important ones visible

• of course, everything should happen in the most fluid way

KML SuperOverlays

•Solution–create a pyramid like structure–have Google Earth regions drive what is visible at each scale–use a tile cache to maximize delivery speed

•This requires GeoServer 1.7.3 and above

KML SuperOverlays

Versioning and Advanced Workflow

• Play with tiling, antialiasing, format and map size

• Issue dynamic filters on your data

Improved Presentation Options

• Significant ArcSDE improvements• Fewer connections used during normal

operation• Supports versioning, read and write

against the default version• Uses native ArcSDE transactions on

write• Full ArcSDE raster support

• Oracle Spatial datastore rewrite, now fast and robust, full transactions

• DB2 and SQL Server 2008 read and write (WFS-T)

Improved Format Support

• WFS Reference Implementation• WFS, WFS-T 1.0• WFS, WFS-T and WFS Xlink 1.1

• WCS 1.0 compliant and 1.1 Reference Implementation

• WMS 1.1.1 and full SLD• SLD is native style format

• KML with Super Overlays• GeoRSS, GeoJSON, Shapefile, PDF,

WMS-C, CSV, XLS

Standards Support

• Prototype worked on during the last year

• Allows full programmatic configuration using simple REST calls (e.g., mass configuring 100 layers, adding new data as it comes in, etc.).

• Most programming languages have REST bindings, can script control of GeoServer

• Will be further developed in the 2.0.x series

REST Configuration

SLD Visual Editor

• Support for N-dimensional coverages (3d + time)• Full WCS support, mapping slices using WMS time

and elevation parametersBeing coded right now in a branch

Forget Flat Rasters. . .

• Can publish data to be crawled by Google• Shows up in search results on Maps/Earth

On Google Geo Search

The Database

• Downloads• Source = 41,600• Win32 = 70,000

• Web Site• Visits = 212,000• Visitors = 136,000

• Subscribers• User List = 1,700• Developer List = 270

By the Numbers (Annual)

• Published benchmarks against “leading brand” not allowed.

• Anecdotally... • Vendor loaded PostGIS and “leading

brand” with UK Ordnance Survey (500M objects)• “PostGIS was faster to load and query,

easier to manage.”

Performance

• Published benchmarks against “leading brand” not allowed.

• Anecdotally... • Government ArcSDE instance hung

when Oracle patch applied, so they brought up emergency PostGIS clone• “PostGIS saved our ass, and while we

were on PostGIS the queries actually ran faster.”

Performance

Command-line tool (ogr2ogr)Tens of formatsDatabase connectionsMinimal schema transformationEmbedded SQL engineOpen source

Graphical workbenchHundreds of formatsDatabase connectionsSchema transformationEmbedded scripting (TCL, Python)Spatial transformationsProprietary

http://www.safe.com/fme http://www.gdal.org/ogr

ETL Tools

• POINT

• LINESTRING

• POLYGON

• MULTIPOINT

• MULTILINESTRING

• MULTIPOLYGON

• GEOMETRYCOLLECTION

• CIRCULARSTRING

• COMPOUNDCURVE

• CURVEPOLYGON

• MULTICURVE

• MULTISURFACE

Supported Types

• ST_DWithin(geom, geom, radius) => boolean

• ST_Intersects(geom, geom) => boolean

• ST_Contains(geom, geom) => boolean

• ST_Touches(geom, geom) => boolean

• ST_Overlaps(geom, geom) => boolean

• ST_Crosses(geom, geom) => boolean

• ST_Covers(geom, geom) => boolean

• ST_CoveredBy(geom, geom) => boolean

• ST_Relate(geom, geom, pattern) => boolean

• ...

Supported Functions (Predicate)

• ST_Distance(geom, geom) => real

• ST_Distance_Sphere(geom, geom) => real

• ST_Distance_Sphereoid(geom, geom, spheroid) => real

• ST_Area(geom) => real

• ST_Length(geom) => real

• ST_Length_Spheroid(geom, geom, spheroid) => real

• ST_Equals(geom, geom) => boolean

• ST_IsValid(geom) => boolean

• ...

Supported Functions (Analytic)

• ST_Union(geom, geom) => geom• ST_Intersection(geom, geom) => geom• ST_Difference(geom, geom) => geom• ST_SymDifference(geom, geom) => geom• ST_Buffer(geom, distance) => geom• ST_Centroid(geom) => geom• ST_ConvexHull(geom) => geom• ST_PointOnSurface(geom) => geom• ...

Supported Functions (Constructive)

• ST_GeomFromText(wkt) => geom• ST_GeomFromWKB(bytea) => geom• ST_AsText(geom) => string• ST_AsGML(geom) => string• ST_AsKML(geom) => string• ST_AsGeoJSON(goem) => string• ST_AsSVG(geom) => string• ST_AsBinary(geom) => wkb-bytea• ...

Supported Functions (I/O)

• Mass market real estate information• MySQL couldn't do complex spatial joins

fast enough• Now using PostgreSQL / PostGIS• http://blog.redfin.com/devblog/category/

performance

Used by

• Mass market imagery web services• Oracle couldn't serve queries fast enough• Informix got too expensive as they grew• Now using only PostgreSQL / PostGIS• http://www.postgis.org/documentation/casestudies/globexplorer/

Used by

• Manage federal topographic database (over 100M features)

• Tested Oracle, DB2, and PostGIS• Found no technical advantage to Oracle or

DB2• Proceeded using PostGIS, no procurement

process required• http://www.postgis.org/documentation/casestudies/ign/

Used by

Business

OpenGeo.org

• Making Geospatial Information Open and Accessible

• By bringing Open Source Principles to Geo

• Working by building OS software that gets used by all

• In the context of a hybrid organization

Building the Open Geospatial Web

• Proprietary Software sold boxes of ‘software’

• Customer thought they were just buying the code, but there is far more to software:• Manuals, Support• Bug fixes, new features• Training, integration, custom solutions

• Software companies made huge profit margins

Software Business before Open Source

• High quality code is now free• A new class of Open Source companies

has emerged• There is a market for everything around

the code• Support, manuals, training, integration,

additional development, services• Profit margins on code are lower and

lower• Smart companies move up the value

chain

Software Business after Open Source

• Full Cost Recovery for OpenGeo• Spin off like Mozilla Corporation• Reinvest profit in similar ‘dot-orgs’

– Make Capital viral like the GPL• Require complete transparency• Business built on Open Source

principles

Towards the ‘dot-org’

OpenGeo

Enterprise

The Full Solution

• Basic Edition• Professional Edition• Enterprise Edition

How to Engage

• Core Support for OpenGeo Enterprise

• Unlimited bug fixes• 20% discount on services rate• 1 day response time, email support

during business hours• $15,000 / year

Basic Edition

• Core Support for OpenGeo Enterprise

• Unlimited bug fixes120 service hours (Upgrades,

Training, Configuration, Installation, Performance, Core Development)

• Oracle, ArcSDE, SQL Server support• 25% discount on services rate• 1 day response time, email & phone

support during business hours• $30,000 / year

Professional Edition

• Core Support for OpenGeo Enterprise

• Unlimited bug fixes• 250 service hours (unrestricted)• Oracle, ArcSDE, SQL Server support• Clustering and security support• 40% discount on services rate• 4 hour response time, email & phone

support 24/7• $70,000 / year

Enterprise Edition