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DBMS > Google Cloud Firestore vs. GreptimeDB vs. Postgres-XL vs. Weaviate

System Properties Comparison Google Cloud Firestore vs. GreptimeDB vs. Postgres-XL vs. Weaviate

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.An open source Time Series DBMS built for increased scalability, high performance and efficiencyBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelDocument storeTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score0.09
Rank#343  Overall
#31  Time Series DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score1.48
Rank#149  Overall
#8  Vector DBMS
Websitefirebase.google.com/­products/­firestoregreptime.comwww.postgres-xl.orggithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationfirebase.google.com/­docs/­firestoredocs.greptime.comwww.postgres-xl.org/­documentationweaviate.io/­developers/­weaviate
DeveloperGoogleGreptime Inc.Weaviate B.V.
Initial release201720222014 infosince 2012, originally named StormDB2019
Current release10 R1, October 20181.19, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoMozilla public licenseOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCGo
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Data schemeschema-freeschema-free, schema definition possibleyesyes, 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesyes infodistributed, parallel query executionGraphQL is used as query language
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsPythonuser defined functionsno
Triggersyes, with Cloud Functionsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
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 datayesACID infoMVCCno
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Simple rights management via user accountsfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Google Cloud FirestoreGreptimeDBPostgres-XLWeaviate
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...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
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All companies that have data. ​
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Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
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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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More resources
Google Cloud FirestoreGreptimeDBPostgres-XLWeaviate
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