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DBMS > HugeGraph vs. NSDb vs. Weaviate

System Properties Comparison HugeGraph vs. NSDb vs. Weaviate

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Editorial information provided by DB-Engines
NameHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelGraph DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#302  Overall
#28  Graph DBMS
Score0.00
Rank#360  Overall
#37  Time Series DBMS
Score0.14
Rank#297  Overall
#15  Search engines
Websitegithub.com/­hugegraphnsdb.iogithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationhugegraph.github.io/­hugegraph-docnsdb.io/­Architecturewww.semi.technology/­developers/­weaviate/­current
DeveloperBaiduSeMI Technologies B.V.
Initial release201820172017
Current release0.91.0.3, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaGo
Server operating systemsLinux
macOS
Unix
Linux
macOS
Data schemeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyes 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 indexall fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoSQL-like query languageGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGroovy
Java
Python
Java
Scala
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlUsers, roles and permissionsOpenID Connect Discovery
More information provided by the system vendor
HugeGraphNSDbWeaviate
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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More resources
HugeGraphNSDbWeaviate
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

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL
7 April 2021, ZDNet

The History of the Weaviate Vector Search Engine
9 May 2020, hackernoon.com

Getting Started with the Weaviate Vector Search Engine
18 May 2020, hackernoon.com

Weaviate Is A Search Engine For Vector Embeddings
11 May 2020, hackernoon.com

Why the rise of vector databases is a revolution for data analysis
7 July 2021, TechGenix

provided by Google News



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