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DBMS > Databricks vs. Datomic vs. Hazelcast vs. Microsoft Azure AI Search

System Properties Comparison Databricks vs. Datomic vs. Hazelcast vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonHazelcast  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 durabilityA widely adopted in-memory data gridSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeSearch engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.databricks.comwww.datomic.comhazelcast.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.databricks.comdocs.datomic.comhazelcast.org/­imdg/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperDatabricksCognitectHazelcastMicrosoft
Initial release2013201220082015
Current release1.0.7075, December 20235.3.6, November 2023V1
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJava
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
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.yesnoyes infothe object must implement a serialization strategyno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesPython
R
Scala
Clojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infoEvent Listeners, Executor Servicesno
TriggersBy using transaction functionsyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding 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 infoReplicated Mapyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedno
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 developmentyesno
User concepts infoAccess controlnoRole-based access controlyes infousing Azure authentication
More information provided by the system vendor
DatabricksDatomicHazelcastMicrosoft Azure AI Search
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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DatabricksDatomicHazelcastMicrosoft Azure AI Search
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