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DBMS > GeoMesa vs. IBM Db2 warehouse vs. RethinkDB vs. TimescaleDB vs. ToroDB

System Properties Comparison GeoMesa vs. IBM Db2 warehouse vs. RethinkDB vs. TimescaleDB vs. ToroDB

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Cloud-based data warehousing serviceDBMS for the Web with a mechanism to push updated query results to applications in realtime.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelSpatial DBMSRelational DBMSDocument storeTime Series DBMSDocument store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Websitewww.geomesa.orgwww.ibm.com/­products/­db2/­warehouserethinkdb.comwww.timescale.comgithub.com/­torodb/­server
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlrethinkdb.com/­docsdocs.timescale.com
DeveloperCCRi and othersIBMThe Linux Foundation infosince July 2017Timescale8Kdata
Initial release20142014200920172016
Current release4.0.5, February 20242.4.1, August 20202.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC++CJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java 7 VM
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometrynumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes infostring, integer, double, boolean, date, object_id
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.nono infoImport/export of XML data possiblenoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes infofull PostgreSQL SQL syntax
APIs and other access methods.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersnoyesClient-side triggers through changefeedsyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding inforange basedyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layeryesSource-replica replicationSource-replica replication with hot standby and reads on replicas infoSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyesyes
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.depending on storage layeryesnono
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes infousers and table-level permissionsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
GeoMesaIBM Db2 warehouse infoformerly named IBM dashDBRethinkDBTimescaleDBToroDB
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