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DBMS > GridGain vs. PostGIS vs. Teradata Aster vs. TinkerGraph vs. Vitess

System Properties Comparison GridGain vs. PostGIS vs. Teradata Aster vs. TinkerGraph vs. Vitess

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonPostGIS  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVitess  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSpatial extension of PostgreSQLPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APIScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store
Relational DBMS
Spatial DBMSRelational DBMSGraph DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial 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
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.gridgain.compostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinvitess.io
Technical documentationwww.gridgain.com/­docs/­index.htmlpostgis.net/­documentationvitess.io/­docs
DeveloperGridGain Systems, Inc.TeradataThe Linux Foundation, PlanetScale
Initial release20072005200520092013
Current releaseGridGain 8.5.13.4.2, February 202415.0.2, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0commercialOpen Source infoApache 2.0Open Source infoApache Version 2.0, commercial licenses available
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 languageJava, C++, .NetCJavaGo
Server operating systemsLinux
OS X
Solaris
Windows
LinuxDocker
Linux
macOS
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesyes infoin Aster File Storeno
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesnoyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Groovy
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsR packagesnoyes infoproprietary syntax
Triggersyes (cache interceptors and events)yesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infobased on PostgreSQLyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnoneEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphsyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesoptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infobased on PostgreSQLfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
GridGainPostGISTeradata AsterTinkerGraphVitess
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