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DBMS > RavenDB vs. Realm vs. Sphinx vs. Splice Machine vs. SQL.JS

System Properties Comparison RavenDB vs. Realm vs. Sphinx vs. Splice Machine vs. SQL.JS

Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonRealm  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScript
Primary database modelDocument storeDocument storeSearch engineRelational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.92
Rank#101  Overall
#18  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteravendb.netrealm.iosphinxsearch.comsplicemachine.comsql.js.org
Technical documentationravendb.net/­docsrealm.io/­docssphinxsearch.com/­docssplicemachine.com/­how-it-workssql.js.org/­documentation/­index.html
DeveloperHibernating RhinosRealm, acquired by MongoDB in May 2019Sphinx Technologies Inc.Splice MachineAlon Zakai infoenhancements implemented by others
Initial release20102014200120142012
Current release5.4, July 20223.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen SourceOpen Source infoGPL version 2, commercial licence availableOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++JavaJavaScript
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Android
Backend: server-less
iOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nono
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language (RQL)noSQL-like query language (SphinxQL)yesyes infoSQL-92 is not fully supported
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
JavaScript API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessarynoyes infoJavano
Triggersyesyes infoChange Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesno 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 infoIn-Memory realmyesyes
User concepts infoAccess controlAuthorization levels configured per client per databaseyesnoAccess rights for users, groups and roles according to SQL-standardno

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RavenDBRealmSphinxSplice MachineSQL.JS
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