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DBMS > FeatureBase vs. NebulaGraph vs. Weaviate

System Properties Comparison FeatureBase vs. NebulaGraph vs. Weaviate

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonNebulaGraph  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 distributed, linear scalable, high perfomant Graph DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSGraph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score2.14
Rank#120  Overall
#10  Graph DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.featurebase.comgithub.com/­vesoft-inc/­nebula
www.nebula-graph.io
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.featurebase.comdocs.nebula-graph.ioweaviate.io/­developers/­weaviate
DeveloperMolecula and Pilosa Open Source ContributorsVesoft Inc.Weaviate B.V.
Initial release201720192019
Current release2022, May 20221.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0 + Common Clause 1.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++Go
Server operating systemsLinux
macOS
Linux
Data schemeyesStrong typed schemayes, 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 indexesnoyes infoNebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.yes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL queriesSQL-like query languageGraphQL is used as query language
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis infoORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Python
.Net
C++
Go
Java
PHP
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCausal Clustering using Raft protocolyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlRole-based access controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
FeatureBaseNebulaGraphWeaviate
Specific characteristicsNebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesNebulaGraph boasts the world's only graph database solution that is able to host...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosSocial networking Fraud detection Knowledge graph Data warehouse management Anti...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersCompanies from a variety of industries have implemented NebulaGraph Database in production,...
» more
All companies that have data. ​
» more
Market metricsAt our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsNebulaGraph is open source and free to use under Apache 2.0 license.
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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FeatureBaseNebulaGraphWeaviate
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