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DBMS > Elasticsearch vs. Qdrant vs. Weaviate

System Properties Comparison Elasticsearch vs. Qdrant vs. Weaviate

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonQdrant  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA high-performance vector database with neural network or semantic-based matchingA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelSearch engineVector DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score143.75
Rank#8  Overall
#1  Search engines
Score0.58
Rank#290  Overall
#7  Vector DBMS
Score1.08
Rank#223  Overall
#4  Vector DBMS
Websitewww.elastic.co/­elasticsearchgithub.com/­qdrant/­qdrant
qdrant.tech
github.com/­semi-technologies/­weaviate
weaviate.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlqdrant.tech/­documentationweaviate.io/­developers/­weaviate/­current
DeveloperElasticQdrantWeaviate B.V.
Initial release201020212019
Current release8.6, January 20231.17, December 2022
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen 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 languageJavaRustGo
Server operating systemsAll OS with a Java VMDocker
Linux
macOS
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, Booleanyes 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 infoAll search fields are automatically indexedyes infoKeywords, numberic ranges, geo, full-textyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesno
Triggersyes infoby using the 'percolation' featureno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesCollection-level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyesno
User concepts infoAccess controlKey-based authenticationOpenID Connect Discovery
More information provided by the system vendor
ElasticsearchQdrantWeaviate
Typical application scenariosAs a stand-alone vector search engine, or use one of the many modules (transformers,...
» more
Key customersA ll companies that have data. ​
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. We also offer Fully managed Weaviate on...
» 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
ElasticsearchQdrantWeaviate
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Recent citations in the news

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Weaviate Raises $50 Million Series B Funding to Meet Soaring Demand for AI Native Vector Database Technology
21 April 2023, Yahoo Finance

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21 April 2023, SiliconANGLE News

Index Ventures Leads $50 Million Investment in AI Startup Weaviate
20 April 2023, The Information

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18 January 2023, PR Newswire

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