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DBMS > Elasticsearch vs. SQream DB vs. Weaviate

System Properties Comparison Elasticsearch vs. SQream DB vs. Weaviate

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Editorial information provided by DB-Engines
NameElasticsearch  Xexclude from comparisonSQream DB  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 GPU-based, columnar RDBMS for big data analytics workloadsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelSearch engineRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score139.62
Rank#7  Overall
#1  Search engines
Score0.93
Rank#226  Overall
#104  Relational DBMS
Score1.94
Rank#150  Overall
#4  Vector DBMS
Websitewww.elastic.co/­elasticsearchsqream.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmldocs.sqream.comweaviate.io/­developers/­weaviate
DeveloperElasticSQream TechnologiesWeaviate B.V.
Initial release201020172019
Current release8.6, January 20232022.1.6, December 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoElastic LicensecommercialOpen 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 languageJavaC++, CUDA, Haskell, Java, ScalaGo
Server operating systemsAll OS with a Java VMLinux
Data schemeschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyes 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 indexednoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query languageyesGraphQL is used as query language
APIs and other access methodsJava API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyesuser defined functions in Pythonno
Triggersyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyes
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, allImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
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 persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integrationyes
User concepts infoAccess controlAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
ElasticsearchSQream DBWeaviate
Specific characteristicsSQream allows companies to get answers from its data and get new business-insights...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesScalability when processing bigger datasets. Faster business insights, with more...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision-making,...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersSome of our customers include: LG-U+, AIS , ACL Mobile, Pubmatic, Telkomsel, LG Electronics
» more
All 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
News

The Quick Guide to Data Lakehouses: A New Era in Data Management
28 November 2023

Navigating the Era of Value Optimization in Big Data Analytics
21 November 2023

Unlocking Optimal Performance: Certifying L40S and H100 GPUs with SQream
16 November 2023

Harnessing Machine Learning for Fraud Detection: Navigating Through the Best Models and Techniques
14 November 2023

Embracing the Future of Big Data Tools with the Latest ChatGPT Release
8 November 2023

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
ElasticsearchSQream DBWeaviate
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