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DBMS > Ehcache vs. Sphinx vs. Splice Machine vs. Typesense

System Properties Comparison Ehcache vs. Sphinx vs. Splice Machine vs. Typesense

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsOpen 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 SparkA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value storeSearch engineRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitewww.ehcache.orgsphinxsearch.comsplicemachine.comtypesense.org
Technical documentationwww.ehcache.org/­documentationsphinxsearch.com/­docssplicemachine.com/­how-it-workstypesense.org/­docs
DeveloperTerracotta Inc, owned by Software AGSphinx Technologies Inc.Splice Machine
Initial release2009200120142015
Current release3.10.0, March 20223.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++JavaC++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnoyesyes
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.no
Secondary indexesnoyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLnoSQL-like query language (SphinxQL)yesno
APIs and other access methodsJCacheProprietary protocolJDBC
Native Spark Datasource
ODBC
RESTful HTTP API
Supported programming languagesJavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneMulti-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles according to SQL-standard

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EhcacheSphinxSplice MachineTypesense
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