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DBMS > Databricks vs. Datomic vs. IBM Db2 vs. Microsoft Azure AI Search

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCommon in IBM host environments, 2 different versions for host and Windows/LinuxSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational 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
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score127.49
Rank#8  Overall
#5  Relational DBMS
Score5.71
Rank#64  Overall
#8  Search engines
Websitewww.databricks.comwww.datomic.comwww.ibm.com/­products/­db2azure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databricks.comdocs.datomic.comwww.ibm.com/­docs/­en/­db2learn.microsoft.com/­en-us/­azure/­search
DeveloperDatabricksCognitectIBMMicrosoft
Initial release201320121983 infohost version2015
Current release1.0.6735, June 202312.1, October 2016V1
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercial infofree version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++
Server operating systemshostedAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
z/OS
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyesno
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 developmentno
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes infousing Azure authentication
More information provided by the system vendor
DatabricksDatomicIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure AI Search
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure AI Search
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