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DBMS > Dgraph vs. FoundationDB vs. Heroic vs. TiDB

System Properties Comparison Dgraph vs. FoundationDB vs. Heroic vs. TiDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonFoundationDB  Xexclude from comparisonHeroic  Xexclude from comparisonTiDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionDistributed and scalable native Graph DBMSOrdered key-value store. Core features are complimented by layers.Time 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.
Primary database modelGraph DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.61
Rank#134  Overall
#9  Graph DBMS
Score1.05
Rank#165  Overall
#24  Document stores
#30  Key-value stores
#81  Relational DBMS
Score0.51
Rank#226  Overall
#14  Time Series DBMS
Score2.14
Rank#123  Overall
#60  Relational DBMS
Websitedgraph.iowww.foundationdb.orgspotify.github.io/­heroic/­#!/­indexpingcap.com
Technical documentationdocs.dgraph.ioapple.github.io/­foundationdbspotify.github.io/­heroic/­#!/­docs/­overviewdocs.pingcap.com/­tidb/­stable
DeveloperDgraph Labs, Inc.FoundationDBSpotifyPingCAP, Inc.
Initial release2016201320142016
Current release6.2.11, November 20194.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open 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++JavaGo, Rust
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-free infosome layers support schemasschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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.nonono
Secondary indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLnosupported in specific SQL layer onlynoyes
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
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
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 proceduresnoin SQL-layer onlynono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardinghorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.nono
User concepts infoAccess controlno infoPlanned for future releasesnoUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
DgraphFoundationDBHeroicTiDB
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

How We Build an HTAP Database That Simplifies Your Data Platform
15 September 2020

Announcing HTAP support in TiDB Cloud
8 September 2020

How to Migrate Data from Amazon Aurora MySQL to TiDB Cloud
4 September 2020

Celebrate TiKV Graduation within CNCF
2 September 2020

PingCAPers Make Their Debut at VLDB
31 August 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
DgraphFoundationDBHeroicTiDB
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