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DBMS > GreptimeDB vs. PostGIS vs. Spark SQL vs. TigerGraph vs. Trafodion

System Properties Comparison GreptimeDB vs. PostGIS vs. Spark SQL vs. TigerGraph vs. Trafodion

Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencySpatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSSpatial DBMSRelational DBMSGraph DBMSRelational 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
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitegreptime.compostgis.netspark.apache.org/­sqlwww.tigergraph.comtrafodion.apache.org
Technical documentationdocs.greptime.compostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.comtrafodion.apache.org/­documentation.html
DeveloperGreptime Inc.Apache Software FoundationApache Software Foundation, originally developed by HP
Initial release20222005201420172014
Current release3.4.2, February 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPL v2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0
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 languageRustCScalaC++C++, Java
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
LinuxLinux
Data schemeschema-free, schema definition possibleyesyesyesyes
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.noyesnonono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsSQL-like query language (GSQL)yes
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Erlang
Go
Java
JavaScript
Java
Python
R
Scala
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresPythonuser defined functionsnoyesJava Stored Procedures
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlSimple rights management via user accountsyes infobased on PostgreSQLnoRole-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
GreptimeDBPostGISSpark SQLTigerGraphTrafodion
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
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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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
GreptimeDBPostGISSpark SQLTigerGraphTrafodion
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