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DBMS > Geode vs. IRONdb vs. Kinetica vs. SpaceTime vs. TimescaleDB

System Properties Comparison Geode vs. IRONdb vs. Kinetica vs. SpaceTime vs. TimescaleDB

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonSpaceTime  Xexclude from comparisonTimescaleDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value storeTime Series DBMSRelational DBMSSpatial DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitegeode.apache.orgwww.circonus.com/solutions/time-series-database/www.kinetica.comwww.mireo.com/­spacetimewww.timescale.com
Technical documentationgeode.apache.org/­docsdocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comdocs.timescale.com
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Circonus LLC.KineticaMireoTimescale
Initial release20022017201220202017
Current release1.1, February 2017V0.10.20, January 20187.1, August 20212.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialcommercialcommercialOpen 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 languageJavaC and C++C, C++C++C
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesnumerics, 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.nonononoyes
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsA subset of ANSI SQL is implementedyes infofull PostgreSQL SQL syntax
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HTTP APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C#
C++
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, in Luauser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeShardingFixed-grid hypercubesyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awareSource-replica replicationReal-time block device replication (DRBD)Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodenononoACID
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.yesnoyes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights per client and object definablenoAccess rights for users and roles on table levelyesfine grained access rights according to SQL-standard

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More resources
GeodeIRONdbKineticaSpaceTimeTimescaleDB
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