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DBMS > Coveo vs. CrateDB vs. Datomic vs. Warp 10

System Properties Comparison Coveo vs. CrateDB vs. Datomic vs. Warp 10

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonCrateDB  Xexclude from comparisonDatomic  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDistributed Database based on LuceneDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSearch engineDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMS
Secondary database modelsRelational 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
#10  Vector DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitewww.coveo.comcratedb.comwww.datomic.comwww.warp10.io
Technical documentationdocs.coveo.comcratedb.com/­docsdocs.datomic.comwww.warp10.io/­content/­02_Getting_started
DeveloperCoveoCrateCognitectSenX
Initial release2012201320122015
Current release1.0.7075, December 2023
License infoCommercial or Open SourcecommercialOpen Sourcecommercial infolimited edition freeOpen Source infoApache License 2.0
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 languageJavaJava, ClojureJava
Server operating systemshostedAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMLinux
OS X
Windows
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 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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoyes, but no triggers and constraints, and PostgreSQL compatibilitynono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
RESTful HTTP APIHTTP API
Jupyter
WebSocket
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
Clojure
Java
Server-side scripts infoStored proceduresnouser defined functions (Javascript)yes infoTransaction Functionsyes infoWarpScript
TriggersyesnoBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnone infoBut extensive use of caching in the application peersSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelnone infoBut extensive use of caching in the application peersselectable replication factor infobased on HBase
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 infobased on HBase
Foreign keys infoReferential integrityyesnonono
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 strategyACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlgranular access controls, API key management, content filtersrights management via user accountsnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
CoveoCrateDBDatomicWarp 10
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