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DBMS > Google Cloud Firestore vs. GreptimeDB vs. Kinetica vs. YDB

System Properties Comparison Google Cloud Firestore vs. GreptimeDB vs. Kinetica vs. YDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparisonYDB  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 efficiencyFully vectorized database across both GPUs and CPUsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeTime Series DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
Time Series 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
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitefirebase.google.com/­products/­firestoregreptime.comwww.kinetica.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationfirebase.google.com/­docs/­firestoredocs.greptime.comdocs.kinetica.comydb.tech/­en/­docs
DeveloperGoogleGreptime Inc.KineticaYandex
Initial release2017202220122019
Current release7.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0; commercial license available
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 languageRustC, C++
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
Data schemeschema-freeschema-free, schema definition possibleyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsSQL-like query language (YQL)
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsPythonuser defined functionsno
Triggersyes, with Cloud Functionsyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
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.yes infoGPU vRAM or System RAMno
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 accountsAccess rights for users and roles on table levelAccess rights defined for Yandex Cloud users
More information provided by the system vendor
Google Cloud FirestoreGreptimeDBKineticaYDB
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Google Cloud FirestoreGreptimeDBKineticaYDB
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