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DBMS > Citus vs. Coveo vs. HBase vs. VoltDB

System Properties Comparison Citus vs. Coveo vs. HBase vs. VoltDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonCoveo  Xexclude from comparisonHBase  Xexclude from comparisonVoltDB  Xexclude from comparison
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 developmentWide-column store based on Apache Hadoop and on concepts of BigTableDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSSearch engineWide column storeRelational DBMS
Secondary database modelsDocument store
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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitewww.citusdata.comwww.coveo.comhbase.apache.orgwww.voltdb.com
Technical documentationdocs.citusdata.comdocs.coveo.comhbase.apache.org/­book.htmldocs.voltdb.com
DeveloperCoveoApache Software Foundation infoApache top-level project, originally developed by PowersetVoltDB Inc.
Initial release2010201220082010
Current release8.1, December 20182.3.4, January 202111.3, April 2022
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache version 2Open Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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 languageCJavaJava, C++
Server operating systemsLinuxhostedLinux
Unix
Windows infousing Cygwin
Linux
OS X infofor development
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes
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 indexesyesyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP APIJava API
RESTful HTTP API
Thrift
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes infoCoprocessors in JavaJava
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
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
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesyesnono infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesSingle row ACID (across millions of columns)ACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardgranular access controls, API key management, content filtersAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers and roles with access to stored procedures

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More resources
CitusCoveoHBaseVoltDB
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