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DBMS > FeatureBase vs. HugeGraph vs. NSDb vs. WakandaDB vs. Weaviate

System Properties Comparison FeatureBase vs. HugeGraph vs. NSDb vs. WakandaDB vs. Weaviate

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonWakandaDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSGraph DBMSTime Series DBMSObject oriented DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#293  Overall
#134  Relational DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score0.07
Rank#369  Overall
#40  Time Series DBMS
Score0.06
Rank#374  Overall
#17  Object oriented DBMS
Score2.00
Rank#138  Overall
#4  Vector DBMS
Websitewww.featurebase.comgithub.com/­hugegraph
hugegraph.apache.org
nsdb.iowakanda.github.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.featurebase.comhugegraph.apache.org/­docsnsdb.io/­Architecturewakanda.github.io/­docweaviate.io/­developers/­weaviate
DeveloperMolecula and Pilosa Open Source ContributorsBaiduWakanda SASWeaviate B.V.
Initial release20172018201720122019
Current release2022, May 20220.92.7.0 (April 29, 2019), April 20191.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open 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 servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava, ScalaC++, JavaScriptGo
Server operating systemsLinux
macOS
Linux
macOS
Unix
Linux
macOS
Linux
OS X
Windows
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes 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.nonononono
Secondary indexesnoyes 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 SQLSQL queriesnoSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
RESTful HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Python
Groovy
Java
Python
Java
Scala
JavaScriptJavaScript / TypeScript
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlUsers, roles and permissionsyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
FeatureBaseHugeGraphNSDbWakandaDBWeaviate
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
FeatureBaseHugeGraphNSDbWakandaDBWeaviate
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