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DBMS > Apache Pinot vs. EventStoreDB vs. SiteWhere

System Properties Comparison Apache Pinot vs. EventStoreDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonEventStoreDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyIndustrial-strength, open-source database solution built from the ground up for event sourcing.M2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSEvent StoreTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitepinot.apache.orgwww.eventstore.comgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.pinot.apache.orgdevelopers.eventstore.comsitewhere1.sitewhere.io/­index.html
DeveloperApache Software Foundation and contributorsEvent Store LimitedSiteWhere
Initial release201520122010
Current release1.0.0, September 202321.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java JDK11 or higherLinux
Windows
Linux
OS X
Windows
Data schemeyespredefined scheme
Typing infopredefined data types such as float or dateyesyes
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 indexesno
SQL infoSupport of SQLSQL-like query languageno
APIs and other access methodsJDBCHTTP REST
Supported programming languagesGo
Java
Python
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept

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More resources
Apache PinotEventStoreDBSiteWhere
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