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DBMS > Heroic vs. Warp 10 vs. Weaviate vs. YDB

System Properties Comparison Heroic vs. Warp 10 vs. Weaviate vs. YDB

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonWarp 10  Xexclude from comparisonWeaviate  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseAn AI-native realtime vector database engine that integrates scalable machine learning models.A distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSTime Series DBMSVector DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.warp10.iogithub.com/­weaviate/­weaviate
weaviate.io
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationspotify.github.io/­heroicwww.warp10.io/­content/­02_Getting_startedweaviate.io/­developers/­weaviateydb.tech/­en/­docs
DeveloperSpotifySenXWeaviate B.V.Yandex
Initial release2014201520192019
Current release1.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache License 2.0Open Source infocommercial license available with Weaviate EnterpriseOpen Source infoApache 2.0; commercial license available
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 languageJavaJavaGo
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-freeschema-freeyes, maps to GraphQL interfaceFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy referencesyes
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 infovia Elasticsearchnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexedyes
SQL infoSupport of SQLnonoGraphQL is used as query languageSQL-like query language (YQL)
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
Jupyter
WebSocket
GraphQL query language
RESTful HTTP/JSON API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesJavaScript / TypeScript
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresnoyes infoWarpScriptnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on HBaseShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on HBaseyesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infobased on HBaseEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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.noyesyesno
User concepts infoAccess controlMandatory use of cryptographic tokens, containing fine-grained authorizationsAPI Keys
OpenID Connect Discovery
Access rights defined for Yandex Cloud users
More information provided by the system vendor
HeroicWarp 10WeaviateYDB
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
HeroicWarp 10WeaviateYDB
DB-Engines blog posts

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

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