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DBMS > Datomic vs. EventStoreDB vs. KairosDB vs. Microsoft Azure AI Search vs. TimescaleDB

System Properties Comparison Datomic vs. EventStoreDB vs. KairosDB vs. Microsoft Azure AI Search vs. TimescaleDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEventStoreDB  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityIndustrial-strength, open-source database solution built from the ground up for event sourcing.Distributed Time Series DBMS based on Cassandra or H2Search-as-a-service for web and mobile app developmentA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSEvent StoreTime Series DBMSSearch engineTime Series DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.datomic.comwww.eventstore.comgithub.com/­kairosdb/­kairosdbazure.microsoft.com/­en-us/­services/­searchwww.timescale.com
Technical documentationdocs.datomic.comdevelopers.eventstore.comkairosdb.github.iolearn.microsoft.com/­en-us/­azure/­searchdocs.timescale.com
DeveloperCognitectEvent Store LimitedMicrosoftTimescale
Initial release20122012201320152017
Current release1.0.7075, December 202321.2, February 20211.2.2, November 2018V12.15.0, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnononoyes infofull PostgreSQL SQL syntax
APIs and other access methodsRESTful HTTP APIGraphite protocol
HTTP REST
Telnet API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
Java
JavaScript infoNode.js
PHP
Python
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infobased on CassandraSharding infoImplicit feature of the cloud serviceyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on Cassandrayes infoImplicit feature of the cloud serviceSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes 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 developmentnonono
User concepts infoAccess controlnosimple password-based access controlyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
DatomicEventStoreDBKairosDBMicrosoft Azure AI SearchTimescaleDB
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