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DBMS > Apache Pinot vs. Datomic vs. Greenplum

System Properties Comparison Apache Pinot vs. Datomic vs. Greenplum

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonDatomic  Xexclude from comparisonGreenplum  Xexclude from comparison
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 durabilityAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Websitepinot.apache.orgwww.datomic.comgreenplum.org
Technical documentationdocs.pinot.apache.orgdocs.datomic.comdocs.greenplum.org
DeveloperApache Software Foundation and contributorsCognitectPivotal Software Inc.
Initial release201520122005
Current release1.0.0, September 20231.0.7180, July 20247.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
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 VMLinux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 infosince Version 4.2
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsJDBCRESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
Python
Clojure
Java
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes
TriggersBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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 developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
Apache PinotDatomicGreenplum
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