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DBMS > Google Cloud Datastore vs. Microsoft Access vs. Oracle Coherence vs. TerarkDB vs. YDB

System Properties Comparison Google Cloud Datastore vs. Microsoft Access vs. Oracle Coherence vs. TerarkDB vs. YDB

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOracle Coherence  Xexclude from comparisonTerarkDB  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformMicrosoft 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.)Oracles in-memory data grid solutionA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeRelational DBMSKey-value storeKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitecloud.google.com/­datastorewww.microsoft.com/­en-us/­microsoft-365/­accesswww.oracle.com/­java/­coherencegithub.com/­bytedance/­terarkdbgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcloud.google.com/­datastore/­docsdeveloper.microsoft.com/­en-us/­accessdocs.oracle.com/­en/­middleware/­standalone/­coherencebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcydb.tech/­en/­docs
DeveloperGoogleMicrosoftOracleByteDance, originally TerarkYandex
Initial release20081992200720162019
Current release1902 (16.0.11328.20222), March 201914.1, August 2023
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft Officecommercialcommercial inforestricted open source version availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsAll OS with a Java VMLinux
Data schemeschema-freeyesschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes, details hereyesyesnoyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLSQL-like query language (GQL)yes infobut not compliant to any SQL standardnonoSQL-like query language (YQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
DAO
ODBC
OLE DB
JCache
JPA
RESTful HTTP API
C++ API
Java API
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Java
C++
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresusing Google App Engineyes infosince Access 2010 using the ACE-enginenonono
TriggersCallbacks using the Google Apps Engineyes infosince Access 2010 using the ACE-engineyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnoneyes, with selectable consistency levelnoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownononono
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.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infobut no files for transaction loggingconfigurablenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no infoa simple user-level security was built in till version Access 2003authentification to access the cache via certificates or http basic authenticationnoAccess rights defined for Yandex Cloud users

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More resources
Google Cloud DatastoreMicrosoft AccessOracle CoherenceTerarkDBYDB
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