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DBMS > Datomic vs. ObjectBox vs. Riak KV vs. Sphinx vs. Warp 10

System Properties Comparison Datomic vs. ObjectBox vs. Riak KV vs. Sphinx vs. Warp 10

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonObjectBox  Xexclude from comparisonRiak KV  Xexclude from comparisonSphinx  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityExtremely fast embedded database for small devices, IoT and MobileDistributed, fault tolerant key-value storeOpen source search engine for searching in data from different sources, e.g. relational databasesTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSObject oriented DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitewww.datomic.comobjectbox.iosphinxsearch.comwww.warp10.io
Technical documentationdocs.datomic.comdocs.objectbox.iowww.tiot.jp/­riak-docs/­riak/­kv/­latestsphinxsearch.com/­docswww.warp10.io/­content/­02_Getting_started
DeveloperCognitectObjectBox LimitedOpenSource, formerly Basho TechnologiesSphinx Technologies Inc.SenX
Initial release20122017200920012015
Current release1.0.6735, June 20233.2.0, December 20223.5.1, February 2023
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache License 2.0Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++ErlangC++Java
Server operating systemsAll OS with a Java VMAndroid
iOS
Linux
macOS
Windows
Linux
OS X
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnonoyes
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 infofull-text index on all search fieldsno
SQL infoSupport of SQLnononoSQL-like query language (SphinxQL)no
APIs and other access methodsRESTful HTTP APIProprietary native APIHTTP API
Native Erlang Interface
Proprietary protocolHTTP API
Jupyter
WebSocket
Supported programming languagesClojure
Java
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
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
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infoTransaction FunctionsnoErlangnoyes infoWarpScript
TriggersBy using transaction functionsnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infono "single point of failure"Sharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersonline/offline synchronization between client and serverselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynoyesno infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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 developmentnoyes
User concepts infoAccess controlnoyesyes, using Riak SecuritynoMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
DatomicObjectBoxRiak KVSphinxWarp 10
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