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DBMS > Dgraph vs. Ehcache vs. Google Cloud Datastore vs. Infobright vs. MarkLogic

System Properties Comparison Dgraph vs. Ehcache vs. Google Cloud Datastore vs. Infobright vs. MarkLogic

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInfobright  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendOperational and transactional Enterprise NoSQL database
Primary database modelGraph DBMSKey-value storeDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websitedgraph.iowww.ehcache.orgcloud.google.com/­datastoreignitetech.com/­softwarelibrary/­infobrightdbwww.marklogic.com
Technical documentationdgraph.io/­docswww.ehcache.org/­documentationcloud.google.com/­datastore/­docsdocs.marklogic.com
DeveloperDgraph Labs, Inc.Terracotta Inc, owned by Software AGGoogleIgnite Technologies Inc.; formerly InfoBright Inc.MarkLogic Corp.
Initial release20162009200820052001
Current release3.10.0, March 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaCC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nonononoyes
Secondary indexesyesnoyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesyes infoSQL92
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCachegRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
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
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonousing Google App Enginenoyes infovia XQuery or JavaScript
Triggersnoyes infoCache Event ListenersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta ServerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoby using Terracotta ServerMulti-source replication using PaxosSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyes, with Range Indexes
User concepts infoAccess controlno infoPlanned for future releasesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesRole-based access control at the document and subdocument levels

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More resources
DgraphEhcacheGoogle Cloud DatastoreInfobrightMarkLogic
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