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DBMS > Hive vs. openGemini vs. Prometheus vs. Weaviate

System Properties Comparison Hive vs. openGemini vs. Prometheus vs. Weaviate

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonopenGemini  Xexclude from comparisonPrometheus  Xexclude from comparisonWeaviate  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityOpen-source Time Series DBMS and monitoring systemAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.01
Rank#375  Overall
#39  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitehive.apache.orgwww.opengemini.org
github.com/­openGemini
prometheus.iogithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.opengemini.org/­guideprometheus.io/­docsweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation infoinitially developed by FacebookHuawei and openGemini communityWeaviate B.V.
Initial release2012202220152019
Current release3.1.3, April 20221.1, July 20231.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoGoGo
Server operating systemsAll OS with a Java VMLinux
Windows
Linux
Windows
Data schemeyesschema-freeyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesInteger, Float, Boolean, StringNumeric data onlyyes 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.nono infoImport of XML data possibleno
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoGraphQL is used as query language
APIs and other access methodsJDBC
ODBC
Thrift
HTTP RESTRESTful HTTP/JSON APIGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes infoby Federationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesAdministrators and common users accountsnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
HiveopenGeminiPrometheusWeaviate
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
HiveopenGeminiPrometheusWeaviate
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