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DBMS > Dgraph vs. HEAVY.AI vs. Infobright vs. Weaviate

System Properties Comparison Dgraph vs. HEAVY.AI vs. Infobright vs. Weaviate

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonInfobright  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMSRelational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitedgraph.iogithub.com/­heavyai/­heavydb
www.heavy.ai
ignitetech.com/­softwarelibrary/­infobrightdbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdgraph.io/­docsdocs.heavy.aiweaviate.io/­developers/­weaviate
DeveloperDgraph Labs, Inc.HEAVY.AI, Inc.Ignite Technologies Inc.; formerly InfoBright Inc.Weaviate B.V.
Initial release2016201620052019
Current release5.10, January 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infocommercial license available with Weaviate Enterprise
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++ and CUDACGo
Server operating systemsLinux
OS X
Windows
LinuxLinux
Windows
Data schemeschema-freeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesnono infoKnowledge Grid Technology used insteadyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesyesGraphQL is used as query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.yesyesyes
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DgraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfobrightWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
DgraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022InfobrightWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

Top Open Source Graph Databases
3 June 2024, MarkTechPost

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20 July 2022, PR Newswire

Dgraph on AWS: Setting up a horizontally scalable graph database
1 September 2020, AWS Blog

Graph Database Market size to grow by USD 7.40 billion between 2022 - 2027 | Growth Driven by Lack of standardization and programming flexibility - Technavio
13 December 2023, Yahoo Finance

Dgraph raises $11.5 million for scalable graph database solutions
31 July 2019, VentureBeat

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Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology
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