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DBMS > RavenDB vs. SwayDB vs. Warp 10 vs. Weaviate

System Properties Comparison RavenDB vs. SwayDB vs. Warp 10 vs. Weaviate

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Editorial information provided by DB-Engines
NameRavenDB  Xexclude from comparisonSwayDB  Xexclude from comparisonWarp 10  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeKey-value storeTime Series DBMSVector DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.84
Rank#101  Overall
#18  Document stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websiteravendb.netswaydb.simer.auwww.warp10.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationravendb.net/­docswww.warp10.io/­content/­02_Getting_startedweaviate.io/­developers/­weaviate
DeveloperHibernating RhinosSimer PlahaSenXWeaviate B.V.
Initial release2010201820152019
Current release5.4, July 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoGNU Affero GPL V3.0Open Source infoApache License 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#ScalaJavaGo
Server operating systemsLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenonoyesyes 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 indexesyesnonoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (RQL)nonoGraphQL is used as query language
APIs and other access methods.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
HTTP API
Jupyter
WebSocket
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Kotlin
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesnoyes infoWarpScriptno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistency infobased on HBaseEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID, Cluster-wide transaction availableAtomic execution of operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAuthorization levels configured per client per databasenoMandatory use of cryptographic tokens, containing fine-grained authorizationsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
RavenDBSwayDBWarp 10Weaviate
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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RavenDBSwayDBWarp 10Weaviate
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