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DBMS > Databricks vs. Datomic vs. Hazelcast vs. HyperSQL vs. OrientDB

System Properties Comparison Databricks vs. Datomic vs. Hazelcast vs. HyperSQL vs. OrientDB

Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonHazelcast  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonOrientDB  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 gridMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
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
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.databricks.comwww.datomic.comhazelcast.comhsqldb.orgorientdb.org
Technical documentationdocs.databricks.comdocs.datomic.comhazelcast.org/­imdg/­docshsqldb.org/­web/­hsqlDocsFrame.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperDatabricksCognitectHazelcastOrientDB LTD; CallidusCloud; SAP
Initial release20132012200820012010
Current release1.0.7075, December 20235.3.6, November 20232.7.2, June 20233.2.29, March 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2; commercial licenses availableOpen Source infobased on BSD licenseOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaJavaJava
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesAll OS with a Java JDK (>= JDK 6)
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLnoSQL-like query languageyesSQL-like query language, no joins
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesPython
R
Scala
Clojure
Java
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
All languages supporting JDBC/ODBC
Java
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infoTransaction Functionsyes infoEvent Listeners, Executor ServicesJava, SQLJava, Javascript
TriggersBy using transaction functionsyes infoEventsyesHooks
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersyes infoReplicated MapnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocould be achieved with distributed queries
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 integritynonoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnoRole-based access controlfine grained access rights according to SQL-standardAccess rights for users and roles; record level security configurable
More information provided by the system vendor
DatabricksDatomicHazelcastHyperSQL infoalso known as HSQLDBOrientDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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