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DBMS > Dgraph vs. MarkLogic vs. TerarkDB vs. TiDB

System Properties Comparison Dgraph vs. MarkLogic vs. TerarkDB vs. TiDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonMarkLogic  Xexclude from comparisonTerarkDB  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSOperational and transactional Enterprise NoSQL databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelGraph DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Key-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.56
Rank#139  Overall
#10  Graph DBMS
Score10.07
Rank#42  Overall
#7  Document stores
#1  Native XML DBMS
#1  RDF stores
#4  Search engines
Score0.02
Rank#323  Overall
#52  Key-value stores
Score2.27
Rank#116  Overall
#56  Relational DBMS
Websitedgraph.iowww.marklogic.comgithub.com/­Terark/­terarkdbpingcap.com
Technical documentationdgraph.io/­docsdocs.marklogic.comgithub.com/­Terark/­terarkdb/­wikidocs.pingcap.com/­tidb/­stable
DeveloperDgraph Labs, Inc.MarkLogic Corp.TerarkPingCAP, Inc.
Initial release2016200120162016
Current release9.0, 20174.0.10 , January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial inforestricted free version is availablecommercial inforestricted open source version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++Go, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-free infoSchema can be enforcedschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesnono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infoSQL92noyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
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
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesnoneUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyesno
User concepts infoAccess controlno infoPlanned for future releasesRole-based access control at the document and subdocument levelsnoUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
DgraphMarkLogicTerarkDBTiDB
Specific characteristicsThe MarkLogic Multi-Model Database provides the simplest way to integrate data from...
» more
TiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
The main benefit of MarkLogic is simplicity. By making things simpler, MarkLogic...
» more
In the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosMarkLogic’s main use case is the Operational Data Hub . A Data Hub is useful for...
» more
TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersMarkLogic has proven results managing mission-critical data with over 1,000 global...
» more
Shopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metricsMarkLogic is well known within the Fortune 1000, with a strong presence in financial...
» more
25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsMarkLogic provides a variety of licenses and cloud services: MarkLogic Data Hub Service...
» more
Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

Five Principles that Guide TiDB and PingCAP (Part I)
21 January 2021

Announcing the TiDB Incubator Program
20 January 2021

How to Simulate I/O Faults at Runtime
8 January 2021

GitHub Discussions: Bringing the Open Source Community Closer Together and All in GitHub
7 January 2021

PingCAP 2020 Year in Review
31 December 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphMarkLogicTerarkDBTiDB
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