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DBMS > Apache Pinot vs. GBase vs. GridDB vs. Ignite vs. SpatiaLite

System Properties Comparison Apache Pinot vs. GBase vs. GridDB vs. Ignite vs. SpatiaLite

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGBase  Xexclude from comparisonGridDB  Xexclude from comparisonIgnite  Xexclude from comparisonSpatiaLite  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Scalable in-memory time series database optimized for IoT and Big DataApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Spatial extension of SQLite
Primary database modelRelational DBMSRelational DBMSTime Series DBMSKey-value store
Relational DBMS
Spatial DBMS
Secondary database modelsKey-value store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitepinot.apache.orgwww.gbase.cngriddb.netignite.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdocs.pinot.apache.orgdocs.griddb.netapacheignite.readme.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperApache Software Foundation and contributorsGeneral Data Technology Co., Ltd.Toshiba CorporationApache Software FoundationAlessandro Furieri
Initial release20152004201320152008
Current release1.0.0, September 2023GBase 8a, GBase 8s, GBase 8c5.1, August 2022Apache Ignite 2.65.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoApache 2.0Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, PythonC++C++, Java, .NetC++
Server operating systemsAll OS with a Java JDK11 or higherLinuxLinuxLinux
OS X
Solaris
Windows
server-less
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes
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.yesnoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageStandard with numerous extensionsSQL92, SQL-like TQL (Toshiba Query Language)ANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBCADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesGo
Java
Python
C#C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesyesyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlyesAccess rights for users can be defined per databaseSecurity Hooks for custom implementationsno
More information provided by the system vendor
Apache PinotGBaseGridDBIgniteSpatiaLite
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache PinotGBaseGridDBIgniteSpatiaLite
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