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DBMS > Dgraph vs. EJDB vs. EsgynDB vs. HBase vs. PouchDB

System Properties Comparison Dgraph vs. EJDB vs. EsgynDB vs. HBase vs. PouchDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEJDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonHBase  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMSDocument storeRelational DBMSWide column storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score2.35
Rank#116  Overall
#22  Document stores
Websitedgraph.iogithub.com/­Softmotions/­ejdbwww.esgyn.cnhbase.apache.orgpouchdb.com
Technical documentationdgraph.io/­docsgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhbase.apache.org/­book.htmlpouchdb.com/­guides
DeveloperDgraph Labs, Inc.SoftmotionsEsgynApache Software Foundation infoApache top-level project, originally developed by PowersetApache Software Foundation
Initial release20162012201520082012
Current release2.3.4, January 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPLv2commercialOpen Source infoApache version 2Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++, JavaJavaJavaScript
Server operating systemsLinux
OS X
Windows
server-lessLinuxLinux
Unix
Windows infousing Cygwin
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free, schema definition possibleschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesoptions to bring your own types, AVROno
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 indexesyesnoyesnoyes infovia views
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
in-process shared libraryADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript
Server-side scripts infoStored proceduresnonoJava Stored Proceduresyes infoCoprocessors in JavaView functions in JavaScript
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftnoneMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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 controlno infoPlanned for future releasesnofine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACno

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DgraphEJDBEsgynDBHBasePouchDB
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