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DBMS > Ehcache vs. Oracle Berkeley DB vs. Rockset vs. Sphinx

System Properties Comparison Ehcache vs. Oracle Berkeley DB vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeSearch engine
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.ehcache.orgwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comsphinxsearch.com
Technical documentationwww.ehcache.org/­documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.comsphinxsearch.com/­docs
DeveloperTerracotta Inc, owned by Software AGOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetSphinx Technologies Inc.
Initial release2009199420192001
Current release3.10.0, March 202218.1.40, May 20203.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infocommercial license availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, Java, C++ (depending on the Berkeley DB edition)C++C++
Server operating systemsAll OS with a Java VMAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnodynamic typingno
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.noyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supported
Secondary indexesnoyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsJCacheHTTP RESTProprietary protocol
Supported programming languagesJava.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnononono
Triggersyes infoCache Event Listenersyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlnonoAccess rights for users and organizations can be defined via Rockset consoleno

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EhcacheOracle Berkeley DBRocksetSphinx
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