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DBMS > AgensGraph vs. HEAVY.AI vs. OpenEdge vs. Weaviate

System Properties Comparison AgensGraph vs. HEAVY.AI vs. OpenEdge vs. Weaviate

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonOpenEdge  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareApplication development environment with integrated database management systemAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score3.69
Rank#78  Overall
#42  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitebitnine.net/­agensgraphgithub.com/­heavyai/­heavydb
www.heavy.ai
www.progress.com/­openedgegithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationbitnine.net/­documentationdocs.heavy.aidocumentation.progress.com/­output/­ua/­OpenEdge_latestweaviate.io/­developers/­weaviate
DeveloperBitnine Global Inc.HEAVY.AI, Inc.Progress Software CorporationWeaviate B.V.
Initial release2016201619842019
Current release2.1, December 20185.10, January 2022OpenEdge 12.2, March 20201.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen 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 languageCC++ and CUDAGo
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemedepending on used data modelyesyesyes, 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.nonoyesno
Secondary indexesyesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesyes infoclose to SQL 92GraphQL is used as query language
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
Thrift
Vega
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
Java
JavaScript
Python
All languages supporting JDBC/ODBC/Thrift
Python
Progress proprietary ABL (Advanced Business Language)JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoRound robinhorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-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 integrityyesnoyesno
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers and groupsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenEdgeWeaviate
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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AgensGraphHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022OpenEdgeWeaviate
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