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DBMS > Google Cloud Datastore vs. GreptimeDB vs. Machbase Neo vs. Microsoft Azure SQL Database

System Properties Comparison Google Cloud Datastore vs. GreptimeDB vs. Machbase Neo vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn open source Time Series DBMS built for increased scalability, high performance and efficiencyTimeSeries DBMS for AIoT and BigDataDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument storeTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitecloud.google.com/­datastoregreptime.commachbase.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationcloud.google.com/­datastore/­docsdocs.greptime.commachbase.com/­dbmsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperGoogleGreptime Inc.MachbaseMicrosoft
Initial release2008202220132010
Current releaseV8.0, August 2023V12
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustCC++
Server operating systemshostedAndroid
Docker
FreeBSD
Linux
macOS
Windows
Linux
macOS
Windows
hosted
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)yesSQL-like query languageyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Erlang
Go
Java
JavaScript
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresusing Google App EnginePythonnoTransact SQL
TriggersCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosselectable replication factoryes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovolatile and lookup table
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Simple rights management via user accountssimple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud DatastoreGreptimeDBMachbase Neo infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL Azure
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 DatastoreGreptimeDBMachbase Neo infoFormer name was InfinifluxMicrosoft Azure SQL Database infoformerly SQL Azure
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