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DBMS > GridGain vs. TerminusDB vs. TimescaleDB

System Properties Comparison GridGain vs. TerminusDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteScalable 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 modelKey-value store
Relational DBMS
Graph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#155  Overall
#26  Key-value stores
#73  Relational DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Score4.87
Rank#74  Overall
#4  Time Series DBMS
Websitewww.gridgain.comterminusdb.comwww.timescale.com
Technical documentationwww.gridgain.com/­docs/­index.htmlterminusdb.github.io/­terminusdb/­#docs.timescale.com
DeveloperGridGain Systems, Inc.DataChemist Ltd.Timescale
Initial release200720182017
Current releaseGridGain 8.5.111.0.0, January 20232.13.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetProlog, RustC
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesnumerics, 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.yesnoyes
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (WOQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingGraph Partitioningyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Journaling StreamsSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsRole-based access controlfine grained access rights according to SQL-standard

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More resources
GridGainTerminusDB infoformer name was DataChemistTimescaleDB
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