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DBMS > FatDB vs. Google Cloud Firestore vs. Microsoft Access vs. OpenTSDB vs. Trafodion

System Properties Comparison FatDB vs. Google Cloud Firestore vs. Microsoft Access vs. OpenTSDB vs. Trafodion

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTrafodion  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud 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.)Scalable Time Series DBMS based on HBaseTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Document storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Websitefirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accessopentsdb.nettrafodion.apache.org
Technical documentationfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­accessopentsdb.net/­docs/­build/­html/­index.htmltrafodion.apache.org/­documentation.html
DeveloperFatCloudGoogleMicrosoftcurrently maintained by Yahoo and other contributorsApache Software Foundation, originally developed by HP
Initial release20122017199220112014
Current release1902 (16.0.11328.20222), March 20192.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoLGPLOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++JavaC++, Java
Server operating systemsWindowshostedWindows infoNot a real database server, but making use of DLLsLinux
Windows
Linux
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnumeric data for metrics, strings for tagsyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyes infobut not compliant to any SQL standardnoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languagesC#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Erlang
Go
Java
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infovia applicationsyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-enginenoJava Stored Procedures
Triggersyes infovia applicationsyes, with Cloud Functionsyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnoneselectable replication factor infobased on HBaseyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesUsing Cloud Dataflownonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsAccess 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 2003nofine grained access rights according to SQL-standard

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More resources
FatDBGoogle Cloud FirestoreMicrosoft AccessOpenTSDBTrafodion
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