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DBMS > Dgraph vs. HBase vs. TypeDB vs. Vitess

System Properties Comparison Dgraph vs. HBase vs. TypeDB vs. Vitess

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHBase  Xexclude from comparisonTypeDB infoformerly named Grakn  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSWide-column store based on Apache Hadoop and on concepts of BigTableTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelGraph DBMSWide column storeGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitedgraph.iohbase.apache.orgtypedb.comvitess.io
Technical documentationdgraph.io/­docshbase.apache.org/­book.htmltypedb.com/­docsvitess.io/­docs
DeveloperDgraph Labs, Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetVaticleThe Linux Foundation, PlanetScale
Initial release2016200820162013
Current release2.3.4, January 20212.26.3, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoGPL Version 3, commercial licenses availableOpen Source infoApache Version 2.0, commercial licenses available
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 languageGoJavaJavaGo
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnononoyes infowith proprietary extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Java API
RESTful HTTP API
Thrift
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
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 proceduresnoyes infoCoprocessors in Javanoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingSharding infoby using CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication
Source-replica replication
Multi-source replication infoby using CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoby using Apache Kafka and Apache Zookeeperno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonono infosubstituted by the relationship featureyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)ACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
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.yesnoyes
User concepts infoAccess controlno infoPlanned for future releasesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infoat REST API level; other APIs in progressUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
DgraphHBaseTypeDB infoformerly named GraknVitess
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
DgraphHBaseTypeDB infoformerly named GraknVitess
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