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DBMS > FatDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. OpenTSDB vs. Trafodion

System Properties Comparison FatDB vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. OpenTSDB vs. Trafodion

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.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.Scalable Time Series DBMS based on HBaseTransactional SQL-on-Hadoop DBMS
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Websitewww.postgresql.fastware.comfirebase.google.com/­products/­firestoreopentsdb.nettrafodion.apache.org
Technical documentationwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestoreopentsdb.net/­docs/­build/­html/­index.htmltrafodion.apache.org/­documentation.html
DeveloperFatCloudPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGooglecurrently maintained by Yahoo and other contributorsApache Software Foundation, originally developed by HP
Initial release2012201720112014
Current releaseFujitsu Enterprise Postgres 14, January 20222.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoLGPLOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#CJavaC++, Java
Server operating systemsWindowsLinux
Windows
hostedLinux
Windows
Linux
Data schemeschema-freeyesschema-freeschema-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 Serveryesnonoyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Telnet API
ADO.NET
JDBC
ODBC
Supported programming languagesC#.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Erlang
Go
Java
Python
R
Ruby
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infovia applicationsuser defined functionsyes, Firebase Rules & Cloud FunctionsnoJava Stored Procedures
Triggersyes infovia applicationsyesyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashShardingSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replicationselectable replication factor infobased on HBaseyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoUsing Cloud Dataflownoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 applicationsfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nofine grained access rights according to SQL-standard

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More resources
FatDBFujitsu Enterprise PostgresGoogle Cloud FirestoreOpenTSDBTrafodion
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