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DBMS > Google Cloud Firestore vs. Microsoft Access vs. QuestDB vs. TimesTen

System Properties Comparison Google Cloud Firestore vs. Microsoft Access vs. QuestDB vs. TimesTen

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuestDB  Xexclude from comparisonTimesTen  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.)A high performance open source SQL database for time series dataIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
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
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accessquestdb.iowww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­accessquestdb.io/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogleMicrosoftQuestDB Technology IncOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017199220141998
Current release1902 (16.0.11328.20222), March 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java (Zero-GC), C++, Rust
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardSQL with time-series extensionsyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-enginenoPL/SQL
Triggersyes, with Cloud Functionsyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by timestamps)none
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replication with eventual consistencyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingACID for single-table writesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes
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 2003fine grained access rights according to SQL-standard
More information provided by the system vendor
Google Cloud FirestoreMicrosoft AccessQuestDBTimesTen
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
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