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DBMS > 4D vs. Datomic vs. Riak KV vs. SingleStore

System Properties Comparison 4D vs. Datomic vs. Riak KV vs. SingleStore

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonDatomic  Xexclude from comparisonRiak KV  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed, fault tolerant key-value storeMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.37
Rank#110  Overall
#54  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.4d.comwww.datomic.comwww.singlestore.com
Technical documentationdeveloper.4d.comdocs.datomic.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.singlestore.com
Developer4D, IncCognitectOpenSource, formerly Basho TechnologiesSingleStore Inc.
Initial release1984201220092013
Current releasev20, April 20231.0.7180, July 20243.2.0, December 20228.5, January 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache version 2, commercial enterprise editioncommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureErlangC++, Go
Server operating systemsOS X
Windows
All OS with a Java VMLinux
OS X
Linux info64 bit version required
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyes infobut no triggers and foreign keys
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
RESTful HTTP APIHTTP API
Native Erlang Interface
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages4D proprietary IDE
PHP
Clojure
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyes infoTransaction FunctionsErlangyes
TriggersyesBy using transaction functionsyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peersSharding infono "single point of failure"Sharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoBut extensive use of caching in the application peersselectable replication factorSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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 developmentyes
User concepts infoAccess controlUsers and groupsnoyes, using Riak SecurityFine grained access control via users, groups and roles

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More resources
4D infoformer name: 4th DimensionDatomicRiak KVSingleStore infoformer name was MemSQL
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