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DBMS > IBM Db2 Event Store vs. Kyligence Enterprise vs. Teradata vs. VoltDB

System Properties Comparison IBM Db2 Event Store vs. Kyligence Enterprise vs. Teradata vs. VoltDB

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonTeradata  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesA distributed analytics engine for big data, built on top of Apache KylinA hybrid cloud data analytics software platform (Teradata Vantage)Distributed 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 DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.ibm.com/­products/­db2-event-storekyligence.io/­kyligence-enterprisewww.teradata.comwww.voltdb.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.teradata.comdocs.voltdb.com
DeveloperIBMKyligence, Inc.TeradataVoltDB Inc.
Initial release2017201619842010
Current release2.0Teradata Vantage 1.0 MU2, January 201911.3, April 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercialcommercialOpen 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++JavaJava, C++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinuxhosted
Linux
Linux
OS X infofor development
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeANSI SQL for queries (using Apache Calcite)yes infoSQL 2016 + extensionsyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Java 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++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesyes infoUDFs, stored procedures, table functions in parallelJava
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoHashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes 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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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More resources
IBM Db2 Event StoreKyligence EnterpriseTeradataVoltDB
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