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DBMS > Firebird vs. Google BigQuery vs. Hive vs. Percona Server for MongoDB

System Properties Comparison Firebird vs. Google BigQuery vs. Hive vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonHive  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseLarge scale data warehouse service with append-only tablesdata warehouse software for querying and managing large distributed datasets, built on HadoopA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.72
Rank#32  Overall
#19  Relational DBMS
Score48.61
Rank#23  Overall
#15  Relational DBMS
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.64
Rank#215  Overall
#33  Document stores
Websitewww.firebirdsql.orgcloud.google.com/­bigqueryhive.apache.orgwww.percona.com/­software/­mongodb/­percona-server-for-mongodb
Technical documentationwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigquery/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperFirebird FoundationGoogleApache Software Foundation infoinitially developed by FacebookPercona
Initial release2000 infoAs fork of Borland's InterBase201020122015
Current release4.0.1, December 20213.1.2, August 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache Version 2Open Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAll OS with a Java VMLinux
Data schemeyesyesyesschema-free
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
RESTful HTTP/JSON APIJDBC
ODBC
Thrift
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C++
Java
PHP
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresPSQLuser defined functions infoin JavaScriptyes infouser defined functions and integration of map-reduceJavaScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoavailable via 3rd party productsselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanono
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infovia In-Memory Engine
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Access rights for users, groups and rolesAccess rights for users and roles

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More resources
FirebirdGoogle BigQueryHivePercona Server for MongoDB
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