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DBMS > Apache Pinot vs. Datomic vs. Yanza

System Properties Comparison Apache Pinot vs. Datomic vs. Yanza

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatomic  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#263  Overall
#121  Relational DBMS
Score1.45
Rank#145  Overall
#66  Relational DBMS
Websitepinot.apache.orgwww.datomic.comyanza.com
Technical documentationdocs.pinot.apache.orgdocs.datomic.com
DeveloperApache Software Foundation and contributorsCognitectYanza
Initial release201520122015
Current release1.0.0, September 20231.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemsAll OS with a Java JDK11 or higherAll OS with a Java VMWindows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.nono
Secondary indexesyesno
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJDBCRESTful HTTP APIHTTP API
Supported programming languagesGo
Java
Python
Clojure
Java
any language that supports HTTP calls
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
TriggersBy using transaction functionsyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and development
User concepts infoAccess controlnono

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More resources
Apache PinotDatomicYanza
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