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DBMS > IBM Db2 Event Store vs. Splice Machine vs. STSdb vs. VoltDB

System Properties Comparison IBM Db2 Event Store vs. Splice Machine vs. STSdb vs. VoltDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelEvent Store
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storesplicemachine.comgithub.com/­STSSoft/­STSdb4www.voltdb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storesplicemachine.com/­how-it-worksdocs.voltdb.com
DeveloperIBMSplice MachineSTS Soft SCVoltDB Inc.
Initial release2017201420112010
Current release2.03.1, March 20214.0.8, September 201511.3, April 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC#Java, C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Solaris
Windows
WindowsLinux
OS X infofor development
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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
Secondary indexesnoyesnoyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyesnoyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
Native Spark Datasource
ODBC
.NET Client APIJava API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyes infoJavanoJava
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication
Source-replica replication
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyes, multi-version concurrency control (MVCC)yesyes infoData access is serialized by the server
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoUsers and roles with access to stored procedures

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More resources
IBM Db2 Event StoreSplice MachineSTSdbVoltDB
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