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DBMS > Coveo vs. Datomic vs. Hypertable vs. Kyligence Enterprise vs. Vitess

System Properties Comparison Coveo vs. Datomic vs. Hypertable vs. Kyligence Enterprise vs. Vitess

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonVitess  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as HadoopA distributed analytics engine for big data, built on top of Apache KylinScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelSearch engineRelational DBMSWide column storeRelational DBMSRelational 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.coveo.comwww.datomic.comkyligence.io/­kyligence-enterprisevitess.io
Technical documentationdocs.coveo.comdocs.datomic.comvitess.io/­docs
DeveloperCoveoCognitectHypertable Inc.Kyligence, Inc.The Linux Foundation, PlanetScale
Initial release20122012200920162013
Current release1.0.6735, June 20230.9.8.11, March 201615.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++JavaGo
Server operating systemshostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
LinuxDocker
Linux
macOS
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.nonono
Secondary indexesyesyesrestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLnononoANSI SQL for queries (using Apache Calcite)yes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Java
JavaScript
Python
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsnoyes infoproprietary syntax
TriggersyesBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesyesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlgranular access controls, API key management, content filtersnonoUsers with fine-grained authorization concept infono user groups or roles

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More resources
CoveoDatomicHypertableKyligence EnterpriseVitess
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