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DBMS > Firebird vs. Hive vs. Spark SQL vs. Trafodion vs. YDB

System Properties Comparison Firebird vs. Hive vs. Spark SQL vs. Trafodion vs. YDB

Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHive  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparisonYDB  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFirebird is an open source RDBMS forked from Borland's InterBasedata warehouse software for querying and managing large distributed datasets, built on HadoopSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.firebirdsql.orghive.apache.orgspark.apache.org/­sqltrafodion.apache.orggithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwww.firebirdsql.org/­en/­reference-manualscwiki.apache.org/­confluence/­display/­Hive/­Homespark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.htmlydb.tech/­en/­docs
DeveloperFirebird FoundationApache Software Foundation infoinitially developed by FacebookApache Software FoundationApache Software Foundation, originally developed by HPYandex
Initial release2000 infoAs fork of Borland's InterBase2012201420142019
Current release5.0.0, January 20243.1.3, April 20223.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaScalaC++, Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMLinux
OS X
Windows
LinuxLinux
Data schemeyesyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsSQL-like DML and DDL statementsyesSQL-like query language (YQL)
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Thrift
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.NetGo
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresPSQLyes infouser defined functions and integration of map-reducenoJava Stored Proceduresno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark CoreShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneyes, via HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infovia user defined functions and HBaseno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyesyes
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.nonono
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and rolesnofine grained access rights according to SQL-standardAccess rights defined for Yandex Cloud users

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FirebirdHiveSpark SQLTrafodionYDB
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