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DBMS > Dgraph vs. Google BigQuery vs. Heroic vs. TiDB

System Properties Comparison Dgraph vs. Google BigQuery vs. Heroic vs. TiDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHeroic  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSLarge scale data warehouse service with append-only tablesTime 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 DBMSRelational 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
Score33.32
Rank#24  Overall
#15  Relational DBMS
Score0.51
Rank#226  Overall
#14  Time Series DBMS
Score2.14
Rank#123  Overall
#60  Relational DBMS
Websitedgraph.iocloud.google.com/­bigqueryspotify.github.io/­heroic/­#!/­indexpingcap.com
Technical documentationdocs.dgraph.iocloud.google.com/­bigquery/­docsspotify.github.io/­heroic/­#!/­docs/­overviewdocs.pingcap.com/­tidb/­stable
DeveloperDgraph Labs, Inc.GoogleSpotifyPingCAP, Inc.
Initial release2016201020142016
Current release4.0, July 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaGo, Rust
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemeschema-freeyesschema-freeyes
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 indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP/JSON APIHQL (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
Java
JavaScript
Objective-C
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
Server-side scripts infoStored proceduresnouser defined functions infoin JavaScriptnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesnoneShardinghorizontal partitioning (by key range)
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.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoACID
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 releasesAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)Users with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
DgraphGoogle BigQueryHeroicTiDB
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

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.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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More resources
DgraphGoogle BigQueryHeroicTiDB
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