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DBMS > Cloudflare Workers KV vs. Heroic vs. Solr vs. Weaviate

System Properties Comparison Cloudflare Workers KV vs. Heroic vs. Solr vs. Weaviate

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Editorial information provided by DB-Engines
NameCloudflare Workers KV  Xexclude from comparisonHeroic  Xexclude from comparisonSolr  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA widely used distributed, scalable search engine based on Apache LuceneAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelKey-value storeTime Series DBMSSearch engineVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#283  Overall
#40  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­spotify/­heroicsolr.apache.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdevelopers.cloudflare.com/­kv/­apispotify.github.io/­heroicsolr.apache.org/­resources.htmlweaviate.io/­developers/­weaviate
DeveloperCloudflareSpotifyApache Software FoundationWeaviate B.V.
Initial release2018201420062019
Current release9.6.0, April 20241.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGo
Server operating systemshostedAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes, maps to GraphQL interface
Typing infopredefined data types such as float or datenoyesyes infosupports customizable data types and automatic typingyes 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.nonoyesno
Secondary indexesnoyes infovia Elasticsearchyes infoAll search fields are automatically indexedyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnonoSolr Parallel SQL InterfaceGraphQL is used as query language
APIs and other access methodsHTTP REST
Proprietary protocol
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP/JSON API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonoJava pluginsno
Triggersnonoyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingno
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.nonoyesyes
User concepts infoAccess controlyesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Cloudflare Workers KVHeroicSolrWeaviate
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
Cloudflare Workers KVHeroicSolrWeaviate
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