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DBMS > Elasticsearch vs. SurrealDB vs. Valentina Server vs. Weaviate

System Properties Comparison Elasticsearch vs. SurrealDB vs. Valentina Server vs. Weaviate

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonSurrealDB  Xexclude from comparisonValentina Server  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 fully ACID transactional, developer-friendly, multi-model DBMSObject-relational database and reports serverAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineDocument store
Graph DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score135.35
Rank#7  Overall
#1  Search engines
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.elastic.co/­elasticsearchsurrealdb.comwww.valentina-db.netgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlsurrealdb.com/­docsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpweaviate.io/­developers/­weaviate
DeveloperElasticSurrealDB LtdParadigma SoftwareWeaviate B.V.
Initial release2010202219992019
Current release8.6, January 2023v1.5.0, May 20245.7.51.19, May 2023
License infoCommercial or Open SourceOpen Source infoElastic LicenseOpen SourcecommercialOpen 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 languageJavaRustGo
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nono
Secondary indexesyes infoAll search fields are automatically indexedyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyesGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
GraphQL
RESTful HTTP API
WebSocket
ODBCGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesyesno
Triggersyes infoby using the 'percolation' featureyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsES-Hadoop Connectornonono
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
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.Memcached and Redis integrationyesyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
ElasticsearchSurrealDBValentina ServerWeaviate
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ElasticsearchSurrealDBValentina ServerWeaviate
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