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DBMS > Citus vs. Coveo vs. GeoSpock vs. Informix

System Properties Comparison Citus vs. Coveo vs. GeoSpock vs. Informix

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonCoveo  Xexclude from comparisonGeoSpock  Xexclude from comparisonInformix  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 PostgreSQLAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentSpatial and temporal data processing engine for extreme data scaleA secure embeddable database from IBM, positioned besides IBM Db2 as a relatively low-cost product optimized for OLTP and Internet of Things data
Primary database modelRelational DBMSSearch engineRelational DBMSRelational DBMS infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDB
Secondary database modelsDocument storeTime Series DBMSDocument store
Spatial DBMS
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score17.87
Rank#35  Overall
#22  Relational DBMS
Websitewww.citusdata.comwww.coveo.comgeospock.comwww.ibm.com/­products/­informix
Technical documentationdocs.citusdata.comdocs.coveo.cominformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
DeveloperCoveoGeoSpockIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.
Initial release201020121984
Current release8.1, December 20182.0, September 201914.10.FC5, November 2020
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, JavascriptC, C++ and Java
Server operating systemsLinuxhostedhostedAIX
HP-UX
Linux
macOS
Solaris
Windows
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoSince Version 12.10 support for JSON/BSON datatypes
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 functionalitynono
Secondary indexesyesyestemporal, categoricalyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoANSI SQL for query only (using Presto)yes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJDBCJDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nonoyes
Triggersyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardgranular access controls, API key management, content filtersAccess rights for users can be defined per tableUsers with fine-grained authentication, authorization, and auditing controls

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More resources
CitusCoveoGeoSpockInformix
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