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DBMS > Apache Doris vs. GridDB vs. SiteWhere vs. Weaviate

System Properties Comparison Apache Doris vs. GridDB vs. SiteWhere vs. Weaviate

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGridDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolScalable in-memory time series database optimized for IoT and Big DataM2M integration platform for persisting/querying time series dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSVector DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#235  Overall
#110  Relational DBMS
Score1.91
Rank#123  Overall
#10  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitedoris.apache.org
github.com/­apache/­doris
griddb.netgithub.com/­sitewhere/­sitewheregithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationgithub.com/­apache/­doris/­wikidocs.griddb.netsitewhere1.sitewhere.io/­index.htmlweaviate.io/­developers/­weaviate
DeveloperApache Software Foundation, originally contributed from BaiduToshiba CorporationSiteWhereWeaviate B.V.
Initial release2017201320102019
Current release1.2.2, February 20235.1, August 20221.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen Source infoCommon Public Attribution License Version 1.0Open 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 languageJavaC++JavaGo
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeyesyespredefined schemeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyes infonumerical, string, blob, geometry, boolean, timestampyesyes 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.nononono
Secondary indexesyesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)noGraphQL is used as query language
APIs and other access methodsJDBC
MySQL client
JDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
HTTP RESTGraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJavaC
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at container levelnono
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseUsers with fine-grained authorization conceptAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Apache DorisGridDBSiteWhereWeaviate
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
Apache DorisGridDBSiteWhereWeaviate
DB-Engines blog posts

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

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Recent citations in the news

Migrating from ClickHouse to Apache Doris: Boosting OLAP Performance
9 October 2023, hackernoon.com

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

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Apache Doris Analytical Database Graduates from Apache Incubator
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’s SQL Interface, Aims to Accelerate Open Innovation
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TOSHIBA DIGITAL SOLUTIONS CORPORATION
1 November 2020, global.toshiba

IoT: Opt for the Right Open Source Database
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SiteWhere: An open platform for connected devices
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