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DBMS > Datomic vs. Drizzle vs. GridGain vs. Splice Machine vs. SQL.JS

System Properties Comparison Datomic vs. Drizzle vs. GridGain vs. Splice Machine vs. SQL.JS

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain is an in-memory computing platform, built on Apache IgniteOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScript
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.datomic.comwww.gridgain.comsplicemachine.comsql.js.org
Technical documentationdocs.datomic.comwww.gridgain.com/­docs/­index.htmlsplicemachine.com/­how-it-workssql.js.org/­documentation/­index.html
DeveloperCognitectDrizzle project, originally started by Brian AkerGridGain Systems, Inc.Splice MachineAlon Zakai infoenhancements implemented by others
Initial release20122008200720142012
Current release1.0.6735, June 20237.2.4, September 2012GridGain 8.5.13.1, March 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java, C++, .NetJavaJavaScript
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDLyesyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIJDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Native Spark Datasource
ODBC
JavaScript API
Supported programming languagesClojure
Java
C
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes (compute grid and cache interceptors can be used instead)yes infoJavano
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.yes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
yes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)Yes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesno infoexcept by serializing a db to a file
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 developmentyesyesyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementationsAccess rights for users, groups and roles according to SQL-standardno

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More resources
DatomicDrizzleGridGainSplice MachineSQL.JS
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