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DBMS > Dgraph vs. Ehcache vs. MarkLogic vs. Pinecone vs. Splice Machine

System Properties Comparison Dgraph vs. Ehcache vs. MarkLogic vs. Pinecone vs. Splice Machine

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparisonPinecone  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL databaseA managed, cloud-native vector databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelGraph DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Vector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitedgraph.iowww.ehcache.orgwww.marklogic.comwww.pinecone.iosplicemachine.com
Technical documentationdgraph.io/­docswww.ehcache.org/­documentationdocs.marklogic.comdocs.pinecone.io/­docs/­overviewsplicemachine.com/­how-it-works
DeveloperDgraph Labs, Inc.Terracotta Inc, owned by Software AGMarkLogic Corp.Pinecone Systems, IncSplice Machine
Initial release20162009200120192014
Current release3.10.0, March 202211.0, December 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availablecommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Booleanyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnonoyes infoSQL92noyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
RESTful HTTP APIJDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
PythonC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptyes infoJava
Triggersnoyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoby using Terracotta ServerShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyes infoby using Terracotta ServeryesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
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 Indexesnoyes
User concepts infoAccess controlno infoPlanned for future releasesnoRole-based access control at the document and subdocument levelsAccess rights for users, groups and roles according to SQL-standard

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