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DBMS > GreptimeDB vs. Microsoft Azure AI Search vs. Snowflake vs. Weaviate

System Properties Comparison GreptimeDB vs. Microsoft Azure AI Search vs. Snowflake vs. Weaviate

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSnowflake  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app developmentCloud-based data warehousing service for structured and semi-structured dataAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelTime Series DBMSSearch engineRelational DBMSVector DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitegreptime.comazure.microsoft.com/­en-us/­services/­searchwww.snowflake.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.greptime.comlearn.microsoft.com/­en-us/­azure/­searchdocs.snowflake.net/­manuals/­index.htmlweaviate.io/­developers/­weaviate
DeveloperGreptime Inc.MicrosoftSnowflake Computing Inc.Weaviate B.V.
Initial release2022201520142019
Current releaseV11.19, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustGo
Server operating systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
hostedhosted
Data schemeschema-free, schema definition possibleyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes, 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.nonoyesno
Secondary indexesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesnoyesGraphQL is used as query language
APIs and other access methodsgRPC
HTTP API
JDBC
RESTful HTTP APICLI Client
JDBC
ODBC
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
JavaScript (Node.js)
Python
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresPythonnouser defined functionsno
Triggersnono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.nonoyes
User concepts infoAccess controlSimple rights management via user accountsyes infousing Azure authenticationUsers with fine-grained authorization concept, user roles and pluggable authenticationAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
GreptimeDBMicrosoft Azure AI SearchSnowflakeWeaviate
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Flexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
As a database supporting the development of generative AI and semantic search applications...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
All companies that have data. ​
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more
Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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GreptimeDBMicrosoft Azure AI SearchSnowflakeWeaviate
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