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DBMS > Heroic vs. InterSystems IRIS vs. KeyDB vs. Weaviate

System Properties Comparison Heroic vs. InterSystems IRIS vs. KeyDB vs. Weaviate

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonKeyDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitegithub.com/­spotify/­heroicwww.intersystems.com/­products/­intersystems-irisgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­weaviate/­weaviate
weaviate.io
Technical documentationspotify.github.io/­heroicdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.keydb.devweaviate.io/­developers/­weaviate
DeveloperSpotifyInterSystemsEQ Alpha Technology Ltd.Weaviate B.V.
Initial release2014201820192019
Current release2023.3, June 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSD-3Open 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 languageJavaC++Go
Server operating systemsAIX
Linux
macOS
Ubuntu
Windows
Linux
Data schemeschema-freedepending on used data modelschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes 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.noyesnono
Secondary indexesyes infovia Elasticsearchyesyes infoby using the Redis Search moduleyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesnoGraphQL is used as query language
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoGraphQL query language
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyesLuano
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlyessimple password-based access control and ACLAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HeroicInterSystems IRISKeyDBWeaviate
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Weaviate 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
HeroicInterSystems IRISKeyDBWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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