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DBMS > Coveo vs. Greenplum vs. LeanXcale vs. mSQL

System Properties Comparison Coveo vs. Greenplum vs. LeanXcale vs. mSQL

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGreenplum  Xexclude from comparisonLeanXcale  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesmSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelSearch engineRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Websitewww.coveo.comgreenplum.orgwww.leanxcale.comhughestech.com.au/­products/­msql
Technical documentationdocs.coveo.comdocs.greenplum.org
DeveloperCoveoPivotal Software Inc.LeanXcaleHughes Technologies
Initial release2012200520151994
Current release7.0.0, September 20234.4, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infosince Version 4.2no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes infothrough Apache DerbyA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C
Java
Perl
Python
R
C
Java
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresnoyesno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
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.noyesno
User concepts infoAccess controlgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardno

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More resources
CoveoGreenplumLeanXcalemSQL infoMini SQL
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