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DBMS > GridGain vs. Pinecone vs. PostGIS vs. Quasardb

System Properties Comparison GridGain vs. Pinecone vs. PostGIS vs. Quasardb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPinecone  Xexclude from comparisonPostGIS  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA managed, cloud-native vector databaseSpatial extension of PostgreSQLDistributed, high-performance timeseries database
Primary database modelKey-value store
Relational DBMS
Vector DBMSSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.gridgain.comwww.pinecone.iopostgis.netquasar.ai
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.pinecone.io/­docs/­overviewpostgis.net/­documentationdoc.quasar.ai/­master
DeveloperGridGain Systems, Inc.Pinecone Systems, Incquasardb
Initial release2007201920052009
Current releaseGridGain 8.5.13.4.2, February 20243.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetCC++
Server operating systemsLinux
OS X
Solaris
Windows
hostedBSD
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesyes infointeger and binary
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 indexesyesyesyes infowith tags
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Python.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infobased on PostgreSQLSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infoTransient mode
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infobased on PostgreSQLCryptographically strong user authentication and audit trail

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More resources
GridGainPineconePostGISQuasardb
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