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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHeroic  Xexclude from comparisonTiDB  Xexclude from comparisonTrafodion  Xexclude from comparisonYaacomo  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 DBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.62
Rank#135  Overall
#10  Graph DBMS
Score0.51
Rank#230  Overall
#14  Time Series DBMS
Score2.34
Rank#117  Overall
#57  Relational DBMS
Score0.53
Rank#226  Overall
#110  Relational DBMS
Score0.00
Rank#345  Overall
#140  Relational DBMS
Websitedgraph.iospotify.github.io/­heroic/­#!/­indexpingcap.comtrafodion.apache.orgyaacomo.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 HPQ2WEB GmbH
Initial release20162014201620142009
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
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 languageGoJavaGo, RustC++, Java
Server operating systemsLinux
OS X
Windows
LinuxLinuxAndroid
Linux
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 Elasticsearchyesyesyes
SQL infoSupport of SQLnonoyesyesyes
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
JDBC
ODBC
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.Net
Server-side scripts infoStored proceduresnononoJava Stored Procedures
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning (by key range)Shardinghorizontal partitioning
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 HBaseSource-replica replication
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 syntaxyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.nononoyes
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-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphHeroicTiDBTrafodionYaacomo
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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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

Flink + TiDB: A Scale-Out Real-Time Data Warehouse for Second-Level Analytics
11 November 2020

DM 2.0 GA: Secure, Easy, Highly Available Data Migration
4 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
DgraphHeroicTiDBTrafodionYaacomo
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