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DBMS > Dgraph vs. Heroic vs. TiDB vs. Trafodion vs. Yanza

System Properties Comparison Dgraph vs. Heroic vs. TiDB vs. Trafodion vs. Yanza

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHeroic  Xexclude from comparisonTiDB  Xexclude from comparisonTrafodion  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.Transactional SQL-on-Hadoop DBMSTime Series DBMS for IoT Applications
Primary database modelGraph DBMSTime Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#134  Overall
#10  Graph DBMS
Score0.47
Rank#239  Overall
#16  Time Series DBMS
Score2.40
Rank#118  Overall
#58  Relational DBMS
Score0.51
Rank#231  Overall
#111  Relational DBMS
Score0.00
Rank#343  Overall
#32  Time Series DBMS
Websitedgraph.iospotify.github.io/­heroic/­#!/­indexpingcap.comtrafodion.apache.orgyanza.com
Technical documentationdgraph.io/­docsspotify.github.io/­heroic/­#!/­docs/­overviewdocs.pingcap.com/­tidb/­stabletrafodion.apache.org
DeveloperDgraph Labs, Inc.SpotifyPingCAP, Inc.Apache Software Foundation, originally developed by HPYanza
Initial release20162014201620142015
Current release4.0, July 20202.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGo, RustC++, Java
Server operating systemsLinux
OS X
Windows
LinuxLinuxWindows
Data schemeschema-freeschema-freeyesyesschema-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.nonononono
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnonoyesyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
All languages supporting JDBC/ODBC/ADO.Netany language that supports HTTP calls
Server-side scripts infoStored proceduresnononoJava Stored Proceduresno
Triggersnonononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning (by key range)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes, via HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connectoryes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infocurrently only supported in syntaxyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoPlanned for future releasesUsers with fine-grained authorization concept. No user groups or roles.fine grained access rights according to SQL-standardno
More information provided by the system vendor
DgraphHeroicTiDBTrafodionYanza
Specific characteristicsTiDB 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
In the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersShopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metrics25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

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3 December 2020

How a Top Game Company Uses Chaos Engineering to Improve Testing
26 November 2020

Best Practices for TiDB on AWS Cloud
24 November 2020

PingCAP, the Company Behind TiDB, Raises $270 Million in Series D Funding
17 November 2020

TiDB on KubeSphere: Run a Cloud-Native Distributed Database on a Hybrid-Cloud Kubernetes Platform
16 November 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DgraphHeroicTiDBTrafodionYanza
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