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DBMS > Dgraph vs. Ehcache vs. Fujitsu Enterprise Postgres vs. MarkLogic vs. RocksDB

System Properties Comparison Dgraph vs. Ehcache vs. Fujitsu Enterprise Postgres vs. MarkLogic vs. RocksDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonMarkLogic  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Operational and transactional Enterprise NoSQL databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelGraph DBMSKey-value storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.34
Rank#157  Overall
#15  Graph DBMS
Score4.52
Rank#65  Overall
#8  Key-value stores
Score0.24
Rank#297  Overall
#134  Relational DBMS
Score4.28
Rank#67  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#8  Search engines
Score2.96
Rank#89  Overall
#13  Key-value stores
Websitedgraph.iowww.ehcache.orgwww.postgres.global.fujitsu.comwww.progress.com/­marklogicrocksdb.org
Technical documentationdgraph.io/­docswww.ehcache.org/­documentationwww.postgres.global.fujitsu.com/­product-manualswww.progress.com/­marklogic/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperDgraph Labs, Inc.Terracotta Inc, owned by Software AGFujitsu LimitedMarkLogic Corp.Facebook, Inc.
Initial release2016200920012013
Current release3.10.0, March 2022Fujitsu Enterprise Postgres 16, May 202411.0, December 20229.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercial inforestricted free version is availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaCC++C++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesnoyesyesno
SQL infoSupport of SQLnonoyesyes infoSQL92no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCacheADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
C++ API
Java API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonouser defined functionsyes infovia XQuery or JavaScriptno
Triggersnoyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta Serverpartitioning by range, list and by hashShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoby using Terracotta ServerSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACIDACID infocan act as a resource manager in an XA/JTA transactionyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlno infoPlanned for future releasesnofine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsno

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More resources
DgraphEhcacheFujitsu Enterprise PostgresMarkLogicRocksDB
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