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DBMS > FatDB vs. PostGIS vs. Spark SQL vs. TerminusDB vs. TimescaleDB

System Properties Comparison FatDB vs. PostGIS vs. Spark SQL vs. TerminusDB vs. TimescaleDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonPostGIS  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimescaleDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spatial extension of PostgreSQLSpark SQL is a component on top of 'Spark Core' for structured data processingScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Spatial DBMSRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsRelational DBMSDocument store
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitepostgis.netspark.apache.org/­sqlterminusdb.comwww.timescale.com
Technical documentationpostgis.net/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlterminusdb.github.io/­terminusdb/­#docs.timescale.com
DeveloperFatCloudApache Software FoundationDataChemist Ltd.Timescale
Initial release20122005201420182017
Current release3.4.2, February 20243.5.0 ( 2.13), September 202311.0.0, January 20232.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL v2.0Open Source infoApache 2.0Open Source infoGPL V3Open 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 languageC#CScalaProlog, RustC
Server operating systemsWindowsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesnonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesSQL-like DML and DDL statementsSQL-like query language (WOQL)yes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#Java
Python
R
Scala
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infovia applicationsyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infobased on PostgreSQLyes, utilizing Spark CoreGraph Partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infobased on PostgreSQLnoneJournaling StreamsSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyes infobased on PostgreSQLnoRole-based access controlfine grained access rights according to SQL-standard

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More resources
FatDBPostGISSpark SQLTerminusDB infoformer name was DataChemistTimescaleDB
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