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DBMS > Apache Druid vs. Heroic vs. Stardog vs. Weaviate

System Properties Comparison Apache Druid vs. Heroic vs. Stardog vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHeroic  Xexclude from comparisonStardog  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSGraph DBMS
RDF store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitedruid.apache.orggithub.com/­spotify/­heroicwww.stardog.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdruid.apache.org/­docs/­latest/­designspotify.github.io/­heroicdocs.stardog.comweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation and contributorsSpotifyStardog-UnionWeaviate B.V.
Initial release2012201420102019
Current release29.0.1, April 20247.3.0, May 20201.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaGo
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
Data schemeyes infoschema-less columns are supportedschema-freeschema-free and OWL/RDFS-schema supportyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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.nonono infoImport/export of XML data possibleno
Secondary indexesyesyes infovia Elasticsearchyes infosupports real-time indexing in full-text and geospatialyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL for queryingnoYes, compatible with all major SQL variants through dedicated BI/SQL ServerGraphQL is used as query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnonoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication in HA-Clusteryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency in HA-ClusterEventual Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache DruidHeroicStardogWeaviate
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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More resources
Apache DruidHeroicStardogWeaviate
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