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DBMS > Apache Druid vs. Hive vs. SwayDB vs. Weaviate

System Properties Comparison Apache Druid vs. Hive vs. SwayDB vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHive  Xexclude from comparisonSwayDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datadata warehouse software for querying and managing large distributed datasets, built on HadoopAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.04
Rank#373  Overall
#57  Key-value stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitedruid.apache.orghive.apache.orgswaydb.simer.augithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdruid.apache.org/­docs/­latest/­designcwiki.apache.org/­confluence/­display/­Hive/­Homeweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation and contributorsApache Software Foundation infoinitially developed by FacebookSimer PlahaWeaviate B.V.
Initial release2012201220182019
Current release29.0.1, April 20243.1.3, April 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoGNU Affero GPL V3.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScalaGo
Server operating systemsLinux
OS X
Unix
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedyesschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesnoyes 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
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL for queryingSQL-like DML and DDL statementsnoGraphQL is used as query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
PHP
Python
Java
Kotlin
Scala
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
Triggersnononono
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 enginesselectable replication factornoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of operationsno
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
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and rolesnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache DruidHiveSwayDBWeaviate
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...
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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
Apache DruidHiveSwayDBWeaviate
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