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DBMS > Apache Pinot vs. GBase vs. Greenplum vs. Ignite

System Properties Comparison Apache Pinot vs. GBase vs. Greenplum vs. Ignite

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonIgnite  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyAn analytical database for business intelligence with large customers in China.Analytic 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.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.58
Rank#244  Overall
#111  Relational DBMS
Score1.04
Rank#190  Overall
#88  Relational DBMS
Score9.23
Rank#47  Overall
#30  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Websitepinot.apache.orgwww.gbase.cngreenplum.orgignite.apache.org
Technical documentationdocs.pinot.apache.orgdocs.greenplum.orgapacheignite.readme.io/­docs
DeveloperApache Software Foundation and contributorsPivotal Software Inc.Apache Software Foundation
Initial release201520052015
Current release1.0.0, September 2023GBase 8a7.0.0, September 2023Apache Ignite 2.6
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java, .Net
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinux
OS X
Solaris
Windows
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.yes infosince Version 4.2yes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJDBCJDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
Python
C
Java
Perl
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)
Triggersyesyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
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 persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardSecurity Hooks for custom implementations

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More resources
Apache PinotGBaseGreenplumIgnite
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