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DBMS > Google Cloud Firestore vs. Microsoft Access vs. RocksDB vs. Snowflake vs. TerarkDB

System Properties Comparison Google Cloud Firestore vs. Microsoft Access vs. RocksDB vs. Snowflake vs. TerarkDB

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRocksDB  Xexclude from comparisonSnowflake  Xexclude from comparisonTerarkDB  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.Microsoft 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.)Embeddable persistent key-value store optimized for fast storage (flash and RAM)Cloud-based data warehousing service for structured and semi-structured dataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitefirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accessrocksdb.orgwww.snowflake.comgithub.com/­bytedance/­terarkdb
Technical documentationfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­accessgithub.com/­facebook/­rocksdb/­wikidocs.snowflake.net/­manuals/­index.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogleMicrosoftFacebook, Inc.Snowflake Computing Inc.ByteDance, originally Terark
Initial release20171992201320142016
Current release1902 (16.0.11328.20222), March 20198.11.4, April 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoBSDcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinuxhosted
Data schemeschema-freeyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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.nonoyesno
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardnoyesno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
C++ API
Java API
CLI Client
JDBC
ODBC
C++ API
Java API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
Perl
Python
Ruby
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-enginenouser defined functionsno
Triggersyes, with Cloud Functionsyes infosince Access 2010 using the ACE-engineno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningyesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
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.no infoa simple user-level security was built in till version Access 2003noUsers with fine-grained authorization concept, user roles and pluggable authenticationno

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More resources
Google Cloud FirestoreMicrosoft AccessRocksDBSnowflakeTerarkDB
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