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DBMS > IRONdb vs. SiriDB vs. Tkrzw vs. Weaviate

System Properties Comparison IRONdb vs. SiriDB vs. Tkrzw vs. Weaviate

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSiriDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonWeaviate  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityOpen Source Time Series DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSTime Series DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Score1.52
Rank#153  Overall
#6  Vector DBMS
Websitewww.circonus.com/solutions/time-series-database/siridb.comdbmx.net/­tkrzwgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.siridb.comweaviate.io/­developers/­weaviate
DeveloperCirconus LLC.CesbitMikio HirabayashiWeaviate B.V.
Initial release2017201720202019
Current releaseV0.10.20, January 20180.9.3, August 20201.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open 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 and C++CC++Go
Server operating systemsLinuxLinuxLinux
macOS
Data schemeschema-freeyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes infoNumeric datanoyes 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 indexesnoyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)nonoGraphQL is used as query language
APIs and other access methodsHTTP APIHTTP APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes, in Luanonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
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.noyesyes infousing specific database classesyes
User concepts infoAccess controlnosimple rights management via user accountsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
IRONdbSiriDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWeaviate
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...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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More resources
IRONdbSiriDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetWeaviate
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