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

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

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonGridGain  Xexclude from comparisonPostGIS  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyGridGain 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 API
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Spatial DBMSRelational DBMSGraph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#352  Overall
#33  Time Series DBMS
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
Websitegreptime.comwww.gridgain.compostgis.nettinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.greptime.comwww.gridgain.com/­docs/­index.htmlpostgis.net/­documentation
DeveloperGreptime Inc.GridGain Systems, Inc.Teradata
Initial release20222007200520052009
Current releaseGridGain 8.5.13.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL v2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJava, C++, .NetCJava
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-free, schema definition possibleyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
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.noyesyesyes infoin Aster File Storeno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyesyesno
APIs and other access methodsgRPC
HTTP API
JDBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresPythonyes (compute grid and cache interceptors can be used instead)user defined functionsR packagesno
Triggersyes (cache interceptors and events)yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQLShardingnone
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.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlSimple rights management via user accountsSecurity Hooks for custom implementationsyes infobased on PostgreSQLfine grained access rights according to SQL-standardno
More information provided by the system vendor
GreptimeDBGridGainPostGISTeradata AsterTinkerGraph
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
GreptimeDBGridGainPostGISTeradata AsterTinkerGraph
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