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DBMS > GBase vs. GeoSpock vs. Speedb vs. Splice Machine

System Properties Comparison GBase vs. GeoSpock vs. Speedb vs. Splice Machine

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGeoSpock  Xexclude from comparisonSpeedb  Xexclude from comparisonSplice Machine  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Spatial and temporal data processing engine for extreme data scaleAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.gbase.cngeospock.comwww.speedb.iosplicemachine.com
Technical documentationsplicemachine.com/­how-it-works
DeveloperGeneral Data Technology Co., Ltd.GeoSpockSpeedbSplice Machine
Initial release200420202014
Current releaseGBase 8a, GBase 8s, GBase 8c2.0, September 20193.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0; commercial license availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonJava, JavascriptC++Java
Server operating systemsLinuxhostedLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnono
Secondary indexesyestemporal, categoricalnoyes
SQL infoSupport of SQLStandard with numerous extensionsANSI SQL for query only (using Presto)noyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBCJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningAutomatic shardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyesAccess rights for users can be defined per tablenoAccess rights for users, groups and roles according to SQL-standard

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More resources
GBaseGeoSpockSpeedbSplice Machine
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