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DBMS > Firebase Realtime Database vs. HugeGraph vs. NSDb vs. Weaviate

System Properties Comparison Firebase Realtime Database vs. HugeGraph vs. NSDb vs. Weaviate

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparisonNSDb  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fast-speed and highly-scalable Graph DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeGraph DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
nsdb.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationfirebase.google.com/­docs/­databasehugegraph.apache.org/­docsnsdb.io/­Architectureweaviate.io/­developers/­weaviate
DeveloperGoogle infoacquired by Google 2014BaiduWeaviate B.V.
Initial release2012201820172019
Current release0.91.19, May 2023
License infoCommercial or Open SourcecommercialOpen 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 serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, ScalaGo
Server operating systemshostedLinux
macOS
Unix
Linux
macOS
Data schemeschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes: 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.nononono
Secondary indexesyesyes 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 SQLnonoSQL-like query languageGraphQL is used as query language
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC
HTTP REST
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
Groovy
Java
Python
Java
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'asynchronous Gremlin script jobsnono
TriggersCallbacks are triggered when data changesnono
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 methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyes, based on authentication and database rulesUsers, roles and permissionsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Firebase Realtime DatabaseHugeGraphNSDbWeaviate
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...
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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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Firebase Realtime DatabaseHugeGraphNSDbWeaviate
DB-Engines blog posts

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Recent citations in the news

Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Don't be like these 900+ websites and expose millions of passwords via Firebase
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Google Firebase may have exposed 125M records from misconfigurations
19 March 2024, SC Media

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17 December 2023, Foley & Lardner LLP

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