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DBMS > H2GIS vs. Hypertable vs. Rockset vs. SingleStore

System Properties Comparison H2GIS vs. Hypertable vs. Rockset vs. SingleStore

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Editorial information provided by DB-Engines
NameH2GIS  Xexclude from comparisonHypertable  Xexclude from comparisonRockset  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionSpatial extension of H2An open source BigTable implementation based on distributed file systems such as HadoopA scalable, reliable search and analytics service in the cloud, built on RocksDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelSpatial DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#372  Overall
#7  Spatial DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Websitewww.h2gis.orgrockset.comwww.singlestore.com
Technical documentationwww.h2gis.org/­docs/­homedocs.rockset.comdocs.singlestore.com
DeveloperCNRSHypertable Inc.RocksetSingleStore Inc.
Initial release2013200920192013
Current release0.9.8.11, March 20168.5, January 2024
License infoCommercial or Open SourceOpen Source infoLGPL 3.0Open Source infoGNU version 3. Commercial license availablecommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++C++C++, Go
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
hostedLinux info64 bit version required
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnodynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesrestricted infoonly exact value or prefix value scansall fields are automatically indexedyes
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsyes infobut no triggers and foreign keys
APIs and other access methodsC++ API
Thrift
HTTP RESTCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaC++
Java
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infobased on H2nonoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingAutomatic shardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on H2selectable replication factor on file system levelyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes infobased on H2noAccess rights for users and organizations can be defined via Rockset consoleFine grained access control via users, groups and roles
More information provided by the system vendor
H2GISHypertableRocksetSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
H2GISHypertableRocksetSingleStore infoformer name was MemSQL
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