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DBMS > EsgynDB vs. FoundationDB vs. Hazelcast vs. PouchDB

System Properties Comparison EsgynDB vs. FoundationDB vs. Hazelcast vs. PouchDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHazelcast  Xexclude from comparisonPouchDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionOrdered key-value store. Core features are complimented by layers.A widely adopted in-memory data gridJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeDocument store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.esgyn.cngithub.com/­apple/­foundationdbhazelcast.compouchdb.com
Technical documentationapple.github.io/­foundationdbhazelcast.org/­imdg/­docspouchdb.com/­guides
DeveloperEsgynFoundationDBHazelcastApache Software Foundation
Initial release2015201320082012
Current release6.2.28, November 20205.3.6, November 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++JavaJavaScript
Server operating systemsLinuxLinux
OS X
Windows
All OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-free infosome layers support schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesno
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 infothe object must implement a serialization strategyno
Secondary indexesyesnoyesyes infovia views
SQL infoSupport of SQLyessupported in specific SQL layer onlySQL-like query languageno
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresin SQL-layer onlyyes infoEvent Listeners, Executor ServicesView functions in JavaScript
Triggersnonoyes infoEventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesyes infoReplicated MapMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access controlno

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More resources
EsgynDBFoundationDBHazelcastPouchDB
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