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DBMS > Dgraph vs. Hive vs. MaxDB vs. TiDB

System Properties Comparison Dgraph vs. Hive vs. MaxDB vs. TiDB

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHive  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSdata warehouse software for querying and managing large distributed datasets, built on HadoopA robust and reliable RDBMS optimized to run all major SAP solutionsTiDB is an open source distributed SQL database that supports Hybrid Transactional/Analytical Processing (HTAP) workloads. It is MySQL compatible and features horizontal scalability, strong consistency, and high availability.
Primary database modelGraph DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score4.66
Rank#70  Overall
#38  Relational DBMS
Websitedgraph.iohive.apache.orgmaxdb.sap.compingcap.com
Technical documentationdgraph.io/­docscwiki.apache.org/­confluence/­display/­Hive/­Homemaxdb.sap.com/­documentationdocs.pingcap.com/­tidb/­stable
DeveloperDgraph Labs, Inc.Apache Software Foundation infoinitially developed by FacebookSAP, acquired from Software AG (Adabas-D) in 1997PingCAP, Inc.
Initial release2016201219842016
Current release3.1.3, April 20227.9.10.12, February 20248.0.0, March 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercial infoLimited community edition freeOpen 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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageGoJavaC++Go, Rust
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
WebDAV
GORM
JDBC
ODBC
Proprietary protocol
SQLAlchemy
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
C#
Java
Perl
PHP
Python
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 proceduresnoyes infouser defined functions and integration of map-reduceyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonehorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftselectable replication factorSource-replica replicationUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infofull support since version 6.6
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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 releasesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardFine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphHiveMaxDB infoformerly named Adabas-DTiDB
Specific characteristicsTiDB is an advanced open-source, distributed SQL database for modern application...
» more
Competitive advantages- HORIZONTAL SCALING : TiDB grants total transparency into your data workloads without...
» more
Typical application scenariosTiDB is ideal for transactional applications that require extreme scalability and...
» more
Key customersBlock, Pinterest, Catalyst, Bolt, Flipkart, Capcom, Shopee (E-commerce), JD Cloud...
» more
Market metrics34K+ GitHub stars 5K+ members in TiDB Community Slack 1K+ community contributors...
» more
Licensing and pricing modelsTiDB Community : Free open source software (Apache 2.0) TiDB Self-Hosted : Enterprise...
» more

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DgraphHiveMaxDB infoformerly named Adabas-DTiDB
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