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DBMS > Firebase Realtime Database vs. Fujitsu Enterprise Postgres vs. mSQL vs. Rockset vs. Sphinx

System Properties Comparison Firebase Realtime Database vs. Fujitsu Enterprise Postgres vs. mSQL vs. Rockset vs. Sphinx

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.mSQL (Mini SQL) is a simple and lightweight RDBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeRelational DBMSRelational DBMSDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score1.27
Rank#167  Overall
#77  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitefirebase.google.com/­products/­realtime-databasewww.postgresql.fastware.comhughestech.com.au/­products/­msqlrockset.comsphinxsearch.com
Technical documentationfirebase.google.com/­docs/­databasewww.postgresql.fastware.com/­product-manualsdocs.rockset.comsphinxsearch.com/­docs
DeveloperGoogle infoacquired by Google 2014PostgreSQL Global Development Group, Fujitsu Australia Software TechnologyHughes TechnologiesRocksetSphinx Technologies Inc.
Initial release2012199420192001
Current releaseFujitsu Enterprise Postgres 14, January 20224.4, October 20213.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree licenses can be providedcommercialOpen Source infoGPL version 2, commercial licence 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 languageCCC++C++
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesdynamic typingno
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 infoingestion from XML files supported
Secondary indexesyesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
HTTP RESTProprietary protocol
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Delphi
Java
Perl
PHP
Tcl
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsnonono
TriggersCallbacks are triggered when data changesyesnonono
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashnoneAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
Firebase Realtime DatabaseFujitsu Enterprise PostgresmSQL infoMini SQLRocksetSphinx
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Firebase Realtime DatabaseFujitsu Enterprise PostgresmSQL infoMini SQLRocksetSphinx
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