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DBMS > Quasardb vs. SiteWhere vs. Weaviate vs. YottaDB

System Properties Comparison Quasardb vs. SiteWhere vs. Weaviate vs. YottaDB

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Editorial information provided by DB-Engines
NameQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonWeaviate  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataAn AI-native realtime vector database engine that integrates scalable machine learning models.A fast and solid embedded Key-value store
Primary database modelTime Series DBMSTime Series DBMSVector DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score1.52
Rank#153  Overall
#6  Vector DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitequasar.aigithub.com/­sitewhere/­sitewheregithub.com/­weaviate/­weaviate
weaviate.io
yottadb.com
Technical documentationdoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmlweaviate.io/­developers/­weaviateyottadb.com/­resources/­documentation
DeveloperquasardbSiteWhereWeaviate B.V.YottaDB, LLC
Initial release2009201020192001
Current release3.14.1, January 20241.19, May 2023
License infoCommercial or Open Sourcecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infocommercial license available with Weaviate EnterpriseOpen Source infoAGPL 3.0
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++JavaGoC
Server operating systemsBSD
Linux
OS X
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeschema-freepredefined schemeyes, maps to GraphQL interfaceschema-free
Typing infopredefined data types such as float or dateyes infointeger and binaryyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesno
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 indexesyes infowith tagsnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedno
SQL infoSupport of SQLSQL-like query languagenoGraphQL is used as query languageby using the Octo plugin
APIs and other access methodsHTTP APIHTTP RESTGraphQL query language
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript / TypeScript
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoconsistent hashingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with selectable replication factorselectable replication factor infobased on HBaseyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenoyesyes
User concepts infoAccess controlCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptAPI Keys
OpenID Connect Discovery
Users and groups based on OS-security mechanisms
More information provided by the system vendor
QuasardbSiteWhereWeaviateYottaDB
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
QuasardbSiteWhereWeaviateYottaDB
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