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DBMS > Ehcache vs. PouchDB vs. SingleStore vs. TerminusDB

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

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonPouchDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsJavaScript DBMS with an API inspired by CouchDBMySQL 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 typeScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value storeDocument storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.23
Rank#68  Overall
#8  Key-value stores
Score2.35
Rank#116  Overall
#22  Document stores
Score5.91
Rank#61  Overall
#34  Relational DBMS
Score0.22
Rank#323  Overall
#28  Graph DBMS
Websitewww.ehcache.orgpouchdb.comwww.singlestore.comterminusdb.com
Technical documentationwww.ehcache.org/­documentationpouchdb.com/­guidesdocs.singlestore.comterminusdb.github.io/­terminusdb/­#
DeveloperTerracotta Inc, owned by Software AGApache Software FoundationSingleStore Inc.DataChemist Ltd.
Initial release2009201220132018
Current release3.10.0, March 20227.1.1, June 20198.5, January 202411.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial infofree developer edition availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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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++, GoProlog, Rust
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux info64 bit version requiredLinux
Data schemeschema-freeschema-freeyesyes
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.nononono
Secondary indexesnoyes infovia viewsyes
SQL infoSupport of SQLnonoyes infobut no triggers and foreign keysSQL-like query language (WOQL)
APIs and other access methodsJCacheHTTP REST infoonly for PouchDB Server
JavaScript API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJavaJavaScriptBash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript
Python
Server-side scripts infoStored proceduresnoView functions in JavaScriptyesyes
Triggersyes infoCache Event Listenersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerSharding infowith a proxy-based framework, named couchdb-loungeSharding infohash partitioningGraph 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
Source-replica replication infostores two copies of each physical data partition on two separate nodesJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourcenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoby using IndexedDB, WebSQL or LevelDB as backendyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnonoFine grained access control via users, groups and rolesRole-based access control
More information provided by the system vendor
EhcachePouchDBSingleStore infoformer name was MemSQLTerminusDB infoformer name was DataChemist
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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EhcachePouchDBSingleStore infoformer name was MemSQLTerminusDB infoformer name was DataChemist
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