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DBMS > IBM Db2 Event Store vs. Riak KV vs. Riak TS vs. Rockset

System Properties Comparison IBM Db2 Event Store vs. Riak KV vs. Riak TS vs. Rockset

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonRiak KV  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesDistributed, fault tolerant key-value storeRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelEvent Store
Time Series DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
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
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Websitewww.ibm.com/­products/­db2-event-storerockset.com
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storewww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.com
DeveloperIBMOpenSource, formerly Basho TechnologiesOpen Source, formerly Basho TechnologiesRockset
Initial release2017200920152019
Current release2.03.2.0, December 20223.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availableOpen Source infoApache version 2, commercial enterprise editionOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++ErlangErlangC++
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Linux
OS X
hosted
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnonodynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesnorestrictedrestrictedall fields are automatically indexed
SQL infoSupport of SQLyes infothrough the embedded Spark runtimenoyes, limitedRead-only SQL queries, including JOINs
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
HTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesErlangErlangno
Triggersnoyes infopre-commit hooks and post-commit hooksyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"ShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationselectable replication factorselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedno infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak SecuritynoAccess rights for users and organizations can be defined via Rockset console

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More resources
IBM Db2 Event StoreRiak KVRiak TSRockset
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