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DBMS > Datomic vs. Dragonfly vs. FatDB vs. IBM Db2 vs. Microsoft Azure AI Search

System Properties Comparison Datomic vs. Dragonfly vs. FatDB vs. IBM Db2 vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDragonfly  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA .NET NoSQL DBMS that can integrate with and extend SQL Server.Common in IBM host environments, 2 different versions for host and Windows/LinuxSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSKey-value storeDocument store
Key-value store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBSearch engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.datomic.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­db2azure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datomic.comwww.dragonflydb.io/­docswww.ibm.com/­docs/­en/­db2learn.microsoft.com/­en-us/­azure/­search
DeveloperCognitectDragonflyDB team and community contributorsFatCloudIBMMicrosoft
Initial release2012202320121983 infohost version2015
Current release1.0.6735, June 20231.0, March 202312.1, October 2016V1
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSL 1.1commercialcommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C#C and C++
Server operating systemsAll OS with a Java VMLinuxWindowsAIX
HP-UX
Linux
Solaris
Windows
z/OS
hosted
Data schemeyesscheme-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnonono infoVia inetgration in SQL Serveryesno
APIs and other access methodsRESTful HTTP APIProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP API
Supported programming languagesClojure
Java
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsLuayes infovia applicationsyesno
TriggersBy using transaction functionspublish/subscribe channels provide some trigger functionalityyes infovia applicationsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable replication factoryes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentyesno
User concepts infoAccess controlnoPassword-based authenticationno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
DatomicDragonflyFatDBIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure AI Search
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