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DBMS > Citus vs. GeoSpock vs. GridGain vs. QuestDB

System Properties Comparison Citus vs. GeoSpock vs. GridGain vs. QuestDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonGeoSpock  Xexclude from comparisonGridGain  Xexclude from comparisonQuestDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLSpatial and temporal data processing engine for extreme data scaleGridGain is an in-memory computing platform, built on Apache IgniteA high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.13
Rank#117  Overall
#56  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.citusdata.comgeospock.comwww.gridgain.comquestdb.io
Technical documentationdocs.citusdata.comwww.gridgain.com/­docs/­index.htmlquestdb.io/­docs
DeveloperGeoSpockGridGain Systems, Inc.QuestDB Technology Inc
Initial release201020072014
Current release8.1, December 20182.0, September 2019GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercial, open sourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptJava, C++, .Net, Python, REST, SQLJava (Zero-GC), C++, Rust
Server operating systemsLinuxhostedLinux
OS X
Solaris
Windows
z/OS
Linux
macOS
Windows
Data schemeyesyesyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynoyesno
Secondary indexesyestemporal, categoricalyesno
SQL infoSupport of SQLyes infostandard, with numerous extensionsANSI SQL for query only (using Presto)ANSI-99 for query and DML statements, subset of DDLSQL with time-series extensions
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
PHP
Python
Ruby
Scala
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes (compute grid and cache interceptors can be used instead)no
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes (replicated cache)Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableRole-based access control
Security Hooks for custom implementations
More information provided by the system vendor
CitusGeoSpockGridGainQuestDB
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Recent citations in the news

Microsoft acquires Citus Data, re-affirming its commitment to Open Source and accelerating Azure PostgreSQL performance and scale
24 January 2019, Microsoft

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5 March 2024, TechCrunch

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