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DBMS > eXtremeDB vs. Splice Machine vs. Transwarp ArgoDB

System Properties Comparison eXtremeDB vs. Splice Machine vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.94
Rank#189  Overall
#87  Relational DBMS
#17  Time Series DBMS
Score0.54
Rank#242  Overall
#113  Relational DBMS
Score0.02
Rank#367  Overall
#155  Relational DBMS
Websitewww.mcobject.comsplicemachine.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationwww.mcobject.com/­docs/­extremedb.htmsplicemachine.com/­how-it-worksdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperMcObjectSplice MachineTranswarp
Initial release20012014
Current release8.2, 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.no infosupport of XML interfaces available
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLyesyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesyes infoJava
Triggersyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard

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More resources
eXtremeDBSplice MachineTranswarp ArgoDB
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