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DBMS > Apache Pinot vs. IBM Db2 Event Store vs. Postgres-XL vs. PouchDB vs. STSdb

System Properties Comparison Apache Pinot vs. IBM Db2 Event Store vs. Postgres-XL vs. PouchDB vs. STSdb

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPostgres-XL  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDistributed Event Store optimized for Internet of Things use casesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSEvent Store
Time Series DBMS
Relational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitepinot.apache.orgwww.ibm.com/­products/­db2-event-storewww.postgres-xl.orgpouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.pinot.apache.orgwww.ibm.com/­docs/­en/­db2-event-storewww.postgres-xl.org/­documentationpouchdb.com/­guides
DeveloperApache Software Foundation and contributorsIBMApache Software FoundationSTS Soft SC
Initial release201520172014 infosince 2012, originally named StormDB20122011
Current release1.0.0, September 20232.010 R1, October 20187.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree developer edition availableOpen Source infoMozilla public licenseOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++CJavaScriptC#
Server operating systemsAll OS with a Java JDK11 or higherLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
server-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes infoprimitive types and user defined types (classes)
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesyes infovia viewsno
SQL infoSupport of SQLSQL-like query languageyes infothrough the embedded Spark runtimeyes infodistributed, parallel query executionnono
APIs and other access methodsJDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesGo
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScriptC#
Java
Server-side scripts infoStored proceduresyesuser defined functionsView functions in JavaScriptno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesActive-active shard replicationMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCnono
Concurrency infoSupport for concurrent manipulation of dataNo - written data is immutableyesyes
Durability infoSupport for making data persistentYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
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-standardnono

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More resources
Apache PinotIBM Db2 Event StorePostgres-XLPouchDBSTSdb
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