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DBMS > Datomic vs. OpenMLDB vs. Riak KV vs. SingleStore

System Properties Comparison Datomic vs. OpenMLDB vs. Riak KV vs. SingleStore

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonOpenMLDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open-source machine learning database that provides a feature platform for training and inferenceDistributed, 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 DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.11
Rank#339  Overall
#30  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.datomic.comopenmldb.aiwww.singlestore.com
Technical documentationdocs.datomic.comopenmldb.ai/­docs/­zh/­mainwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.singlestore.com
DeveloperCognitect4 Paradigm Inc.OpenSource, formerly Basho TechnologiesSingleStore Inc.
Initial release2012202020092013
Current release1.0.7180, July 20242024-2 February 20243.2.0, December 20228.5, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen SourceOpen 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, ClojureC++, Java, ScalaErlangC++, Go
Server operating systemsAll OS with a Java VMLinuxLinux
OS X
Linux info64 bit version required
Data schemeyesFixed schemaschema-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.nononono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLnoyesnoyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP APIJDBC
SQLAlchemy
HTTP API
Native Erlang Interface
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesClojure
Java
C++
Go
Java
Python
Scala
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 proceduresyes infoTransaction FunctionsnoErlangyes
TriggersBy using transaction functionsnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioningSharding infono "single point of failure"Sharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationselectable 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 methodsnoyesno 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 integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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)yesyesyes 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.yes inforecommended only for testing and developmentyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, using Riak SecurityFine grained access control via users, groups and roles

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More resources
DatomicOpenMLDBRiak KVSingleStore infoformer name was MemSQL
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