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DBMS > Ehcache vs. PouchDB vs. searchxml vs. SingleStore

System Properties Comparison Ehcache vs. PouchDB vs. searchxml vs. SingleStore

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonPouchDB  Xexclude from comparisonsearchxml  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsJavaScript DBMS with an API inspired by CouchDBDBMS for structured and unstructured content wrapped with an application serverMySQL 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 modelKey-value storeDocument storeNative XML DBMS
Search engine
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitewww.ehcache.orgpouchdb.comwww.searchxml.net/­category/­productswww.singlestore.com
Technical documentationwww.ehcache.org/­documentationpouchdb.com/­guideswww.searchxml.net/­support/­handoutsdocs.singlestore.com
DeveloperTerracotta Inc, owned by Software AGApache Software Foundationinformationpartners gmbhSingleStore Inc.
Initial release2009201220152013
Current release3.10.0, March 20227.1.1, June 20191.08.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercialcommercial infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJavaScriptC++C++, Go
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)WindowsLinux info64 bit version required
Data schemeschema-freeschema-freeschema-freeyes
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.nonoyesno
Secondary indexesnoyes infovia viewsyesyes
SQL infoSupport of SQLnononoyes infobut no triggers and foreign keys
APIs and other access methodsJCacheHTTP REST infoonly for PouchDB Server
JavaScript API
RESTful HTTP API
WebDAV
XQuery
XSLT
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesJavaJavaScriptC++ infomost other programming languages supported via APIsBash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infoon the application serveryes
Triggersyes infoCache Event Listenersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infowith a proxy-based framework, named couchdb-loungenoneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
yes infosychronisation to multiple collectionsSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate ConsistencyImmediate 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 resourcenomultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoby using IndexedDB, WebSQL or LevelDB as backendyesyes 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.yesyesnoyes
User concepts infoAccess controlnonoDomain, group and role-based access control at the document level and for application servicesFine grained access control via users, groups and roles
More information provided by the system vendor
EhcachePouchDBsearchxmlSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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EhcachePouchDBsearchxmlSingleStore infoformer name was MemSQL
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