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DBMS > Axibase vs. DataFS vs. Google Cloud Firestore vs. GreptimeDB

System Properties Comparison Axibase vs. DataFS vs. Google Cloud Firestore vs. GreptimeDB

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonDataFS  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGreptimeDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud 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 efficiency
Primary database modelTime Series DBMSObject oriented DBMSDocument storeTime Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Websiteaxibase.com/­docs/­atsd/­financenewdatabase.comfirebase.google.com/­products/­firestoregreptime.com
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­firestoredocs.greptime.com
DeveloperAxibase CorporationMobiland AGGoogleGreptime Inc.
Initial release2013201820172022
Current release155851.1.263, October 2022
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRust
Server operating systemsLinuxWindowshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Data schemeyesClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-free, schema definition possible
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesyes
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 indexesnonoyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP API
JDBC
Supported programming languagesGo
Java
PHP
Python
R
Ruby
.Net
C
C#
C++
VB.Net
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Erlang
Go
Java
JavaScript
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud FunctionsPython
Triggersyesno, except callback-events from server when changes happenedyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes
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.no
User concepts infoAccess controlWindows-ProfileAccess 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 accounts
More information provided by the system vendor
AxibaseDataFSGoogle Cloud FirestoreGreptimeDB
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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AxibaseDataFSGoogle Cloud FirestoreGreptimeDB
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