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

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

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHeroic  Xexclude from comparisonLeanXcale  Xexclude from comparisonTiDB  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.Transactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMSTime Series DBMSKey-value store
Relational DBMS
Relational 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
Score0.29
Rank#265  Overall
#44  Key-value stores
#122  Relational DBMS
Score2.34
Rank#117  Overall
#57  Relational DBMS
Score0.53
Rank#226  Overall
#110  Relational DBMS
Websitedgraph.iospotify.github.io/­heroic/­#!/­indexwww.leanxcale.compingcap.comtrafodion.apache.org
Technical documentationdgraph.io/­docsspotify.github.io/­heroic/­#!/­docs/­overviewdocs.pingcap.com/­tidb/­stabletrafodion.apache.org
DeveloperDgraph Labs, Inc.SpotifyLeanXcalePingCAP, Inc.Apache Software Foundation, originally developed by HP
Initial release20162014201520162014
Current release4.0, July 20202.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
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
LinuxLinux
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnonoyes infothrough Apache Derbyyesyes
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
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
Java
Scala
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
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardinghorizontal partitioning (by key range)Sharding
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 HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith TiSpark Connectoryes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno infocurrently only supported in syntaxyes
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.noyesnono
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-standard
More information provided by the system vendor
DgraphHeroicLeanXcaleTiDBTrafodion
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» 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
Linear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
In the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Shopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metrics15 beta testers
» more
25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more
Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
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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
DgraphHeroicLeanXcaleTiDBTrafodion
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