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DBMS > Coveo vs. CrateDB vs. Postgres-XL vs. SWC-DB

System Properties Comparison Coveo vs. CrateDB vs. Postgres-XL vs. SWC-DB

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonCrateDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDistributed Database based on LuceneBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high performance, scalable Wide Column DBMS
Primary database modelSearch engineDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSWide column store
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.11
Rank#118  Overall
#11  Search engines
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#9  Vector DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.coveo.comcratedb.comwww.postgres-xl.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.coveo.comcratedb.com/­docswww.postgres-xl.org/­documentation
DeveloperCoveoCrateAlex Kashirin
Initial release201220132014 infosince 2012, originally named StormDB2020
Current release10 R1, October 20180.5, April 2021
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoMozilla public licenseOpen Source infoGPL V3
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.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageJavaCC++
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
macOS
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationFlexible Schema (defined schema, partial schema, schema free)yesschema-free
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilityyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Thrift
Supported programming languagesC#
Java
JavaScript
Python
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Server-side scripts infoStored proceduresnouser defined functions (Javascript)user defined functionsno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID infoMVCC
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.nonono
User concepts infoAccess controlgranular access controls, API key management, content filtersrights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
CoveoCrateDBPostgres-XLSWC-DB infoSuper Wide Column Database
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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CoveoCrateDBPostgres-XLSWC-DB infoSuper Wide Column Database
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