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DBMS > Google Cloud Datastore vs. Graphite vs. Microsoft Access vs. OpenMLDB

System Properties Comparison Google Cloud Datastore vs. Graphite vs. Microsoft Access vs. OpenMLDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)An open-source machine learning database that provides a feature platform for training and inference
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitecloud.google.com/­datastoregithub.com/­graphite-project/­graphite-webwww.microsoft.com/­en-us/­microsoft-365/­accessopenmldb.ai
Technical documentationcloud.google.com/­datastore/­docsgraphite.readthedocs.iodeveloper.microsoft.com/­en-us/­accessopenmldb.ai/­docs/­zh/­main
DeveloperGoogleChris DavisMicrosoft4 Paradigm Inc.
Initial release2008200619922020
Current release1902 (16.0.11328.20222), March 20192024-2 February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++, Java, Scala
Server operating systemshostedLinux
Unix
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesyesFixed schema
Typing infopredefined data types such as float or dateyes, details hereNumeric data onlyyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query language (GQL)noyes infobut not compliant to any SQL standardyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
Sockets
ADO.NET
DAO
ODBC
OLE DB
JDBC
SQLAlchemy
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresusing Google App Enginenoyes infosince Access 2010 using the ACE-engineno
TriggersCallbacks using the Google Apps Enginenoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
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.noneImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
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 (IAM)nono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Google Cloud DatastoreGraphiteMicrosoft AccessOpenMLDB
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