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DBMS > Datastax Enterprise vs. OrigoDB vs. OushuDB vs. PostGIS

System Properties Comparison Datastax Enterprise vs. OrigoDB vs. OushuDB vs. PostGIS

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonOushuDB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.A fully ACID in-memory object graph databaseA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningSpatial extension of PostgreSQL
Primary database modelWide column storeDocument store
Object oriented DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#60  Overall
#4  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.datastax.com/­products/­datastax-enterpriseorigodb.comwww.oushu.com/­product/­oushuDBpostgis.net
Technical documentationdocs.datastax.comorigodb.com/­docswww.oushu.com/­documentationpostgis.net/­documentation
DeveloperDataStaxRobert Friberg et alOushu
Initial release20112009 infounder the name LiveDB2005
Current release6.8, April 20204.0.1, August 20203.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC#C
Server operating systemsLinux
OS X
Linux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nono infocan be achieved using .NETyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoFull-featured ANSI SQL supportyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.NET Client API
HTTP API
LINQ
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.NetC
C++
Server-side scripts infoStored proceduresnoyesyesuser defined functions
Triggersyesyes infoDomain Eventsyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioning infoclient side managed; servers are not synchronizedyesyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectRole based authorizationKerberos, SSL and role based accessyes infobased on PostgreSQL
More information provided by the system vendor
Datastax EnterpriseOrigoDBOushuDBPostGIS
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
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Datastax EnterpriseOrigoDBOushuDBPostGIS
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