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DBMS > Dgraph vs. Heroic vs. IRONdb vs. TiDB

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

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelGraph DBMSTime Series DBMSTime 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
Score0.51
Rank#226  Overall
#14  Time Series DBMS
Score0.09
Rank#315  Overall
#28  Time Series DBMS
Score2.14
Rank#123  Overall
#60  Relational DBMS
Websitedgraph.iospotify.github.io/­heroic/­#!/­indexwww.circonus.com/­solutions/­time-series-databasepingcap.com
Technical documentationdocs.dgraph.iospotify.github.io/­heroic/­#!/­docs/­overviewdocs.circonus.com/­irondbdocs.pingcap.com/­tidb/­stable
DeveloperDgraph Labs, Inc.SpotifyCirconus LLC.PingCAP, Inc.
Initial release2016201420172016
Current releaseV0.10.20, January 20184.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialOpen 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 languageGoJavaC and C++Go, Rust
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes
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 Elasticsearchnoyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)yes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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 proceduresnonoyes, in Luano
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingAutomatic, metric affinity per nodehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesconfigurable replication factor, datacenter awareUsing 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 ConsistencyEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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.nonono
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
DgraphHeroicIRONdbTiDB
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» 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
Unmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
In the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
TiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Shopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
Open Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

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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
DgraphHeroicIRONdbTiDB
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