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DBMS > OpenMLDB vs. Sadas Engine vs. SiriDB vs. Weaviate

System Properties Comparison OpenMLDB vs. Sadas Engine vs. SiriDB vs. Weaviate

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Editorial information provided by DB-Engines
NameOpenMLDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonSiriDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn open-source machine learning database that provides a feature platform for training and inferenceSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen Source Time Series DBMSAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websiteopenmldb.aiwww.sadasengine.comsiridb.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationopenmldb.ai/­docs/­zh/­mainwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.siridb.comweaviate.io/­developers/­weaviate
Developer4 Paradigm Inc.SADAS s.r.l.CesbitWeaviate B.V.
Initial release2020200620172019
Current release2024-2 February 20248.01.19, May 2023
License infoCommercial or Open SourceOpen Sourcecommercial infofree trial version availableOpen Source infoMIT LicenseOpen 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++, Java, ScalaC++CGo
Server operating systemsLinuxAIX
Linux
Windows
Linux
Data schemeFixed schemayesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes 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 indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyesnoGraphQL is used as query language
APIs and other access methodsJDBC
SQLAlchemy
JDBC
ODBC
Proprietary protocol
HTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Go
Java
Python
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.yesyes infomanaged by 'Learn by Usage'yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardsimple rights management via user accountsAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
OpenMLDBSadas EngineSiriDBWeaviate
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
OpenMLDBSadas EngineSiriDBWeaviate
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