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DBMS > HugeGraph vs. WakandaDB vs. Weaviate

System Properties Comparison HugeGraph vs. WakandaDB vs. Weaviate

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonWakandaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelGraph DBMSObject oriented DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#281  Overall
#21  Graph DBMS
Score0.02
Rank#344  Overall
#18  Object oriented DBMS
Score0.13
Rank#306  Overall
#19  Search engines
Websitegithub.com/­hugegraphwakanda.github.iogithub.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationhugegraph.github.io/­hugegraph-docdoc.wakanda.org/­home2.en.html#/­Datastore/­Introduction.200-588937.en.htmlweaviate.io/­developers/­weaviate/­current
DeveloperBaiduWakanda SASSeMI Technologies B.V.
Initial release201820122017
Current release0.92.7.0 (April 29, 2019), April 20191.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPLv3, extended commercial license availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaScriptGo
Server operating systemsLinux
macOS
Unix
Linux
OS X
Windows
Data schemeyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes 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.nonono
Secondary indexesyes infoalso supports composite index and range indexyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
JavaScript
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers, roles and permissionsyesOpenID Connect Discovery
More information provided by the system vendor
HugeGraphWakandaDBWeaviate
Typical application scenariosAs a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersA ll companies that have data. ​
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» more

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