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DBMS > IBM Db2 Event Store vs. MarkLogic vs. Netezza vs. Riak TS

System Properties Comparison IBM Db2 Event Store vs. MarkLogic vs. Netezza vs. Riak TS

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Editorial information provided by DB-Engines
NameIBM Db2 Event Store  Xexclude from comparisonMarkLogic  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionDistributed Event Store optimized for Internet of Things use casesOperational and transactional Enterprise NoSQL databaseData warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelEvent Store
Time Series DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime 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
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Websitewww.ibm.com/­products/­db2-event-storewww.marklogic.comwww.ibm.com/­products/­netezza
Technical documentationwww.ibm.com/­docs/­en/­db2-event-storedocs.marklogic.comwww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperIBMMarkLogic Corp.IBMOpen Source, formerly Basho Technologies
Initial release2017200120002015
Current release2.011.0, December 20223.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree developer edition availablecommercial inforestricted free version is availablecommercialOpen Source
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++C++Erlang
Server operating systemsLinux infoLinux, macOS, Windows for the developer additionLinux
OS X
Windows
Linux infoincluded in applianceLinux
OS X
Data schemeyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesno
Secondary indexesnoyesyesrestricted
SQL infoSupport of SQLyes infothrough the embedded Spark runtimeyes infoSQL92yesyes, limited
APIs and other access methodsADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
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
Server-side scripts infoStored proceduresyesyes infovia XQuery or JavaScriptyesErlang
Triggersnoyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationyesSource-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infocan act as a resource manager in an XA/JTA transactionACIDno
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.yesyes, with Range Indexes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsUsers with fine-grained authorization conceptno

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More resources
IBM Db2 Event StoreMarkLogicNetezza infoAlso called PureData System for Analytics by IBMRiak TS
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