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DBMS > Datomic vs. HarperDB vs. IBM Db2 vs. InterSystems Caché vs. Microsoft Azure AI Search

System Properties Comparison Datomic vs. HarperDB vs. IBM Db2 vs. InterSystems Caché vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHarperDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Common in IBM host environments, 2 different versions for host and Windows/LinuxA multi-model DBMS and application serverSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMSDocument storeRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store
Object oriented DBMS
Relational DBMS
Search engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websitewww.datomic.comwww.harperdb.iowww.ibm.com/­products/­db2www.intersystems.com/­products/­cacheazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datomic.comdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2docs.intersystems.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperCognitectHarperDBIBMInterSystemsMicrosoft
Initial release201220171983 infohost version19972015
Current release1.0.6735, June 20233.1, August 202112.1, October 20162018.1.4, May 2020V1
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infofree community edition availablecommercial infofree version is availablecommercialcommercial
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, ClojureNode.jsC and C++
Server operating systemsAll OS with a Java VMLinux
OS X
AIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
hosted
Data schemeyesdynamic schemayesdepending on used data modelyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesyesno
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
.NET Client API
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
Java
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
C++
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsCustom Functions infosince release 3.1yesyesno
TriggersBy using transaction functionsnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersA table resides as a whole on one (or more) nodes in a clusterSharding infoonly with Windows/Unix/Linux VersionnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infothe nodes on which a table resides can be definedyes infowith separate tools (MQ, InfoSphere)Source-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes, using LMDByesyesyes
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 developmentyesyesno
User concepts infoAccess controlnoAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesyes infousing Azure authentication

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More resources
DatomicHarperDBIBM Db2 infoformerly named DB2 or IBM Database 2InterSystems CachéMicrosoft Azure AI Search
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