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DBMS > Apache Pinot vs. Greenplum vs. MaxDB vs. Yanza

System Properties Comparison Apache Pinot vs. Greenplum vs. MaxDB vs. Yanza

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGreenplum  Xexclude from comparisonMaxDB infoformerly named Adabas-D  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 latencyAnalytic 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.A robust and reliable RDBMS optimized to run all major SAP solutionsTime Series DBMS for IoT Applications
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Websitepinot.apache.orggreenplum.orgmaxdb.sap.comyanza.com
Technical documentationdocs.pinot.apache.orgdocs.greenplum.orgmaxdb.sap.com/­documentation
DeveloperApache Software Foundation and contributorsPivotal Software Inc.SAP, acquired from Software AG (Adabas-D) in 1997Yanza
Initial release2015200519842015
Current release1.0.0, September 20237.0.0, September 20237.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoLimited community edition freecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxAIX
HP-UX
Linux
Solaris
Windows
Windows
Data schemeyesyesyesschema-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.yes infosince Version 4.2nono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languageyesyesno
APIs and other access methodsJDBCJDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
HTTP API
Supported programming languagesGo
Java
Python
C
Java
Perl
Python
R
.Net
C#
Java
Perl
PHP
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresyesyesno
Triggersyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Apache PinotGreenplumMaxDB infoformerly named Adabas-DYanza
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