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DBMS > Firebird vs. Hive vs. Microsoft Azure Synapse Analytics vs. Riak KV

System Properties Comparison Firebird vs. Hive vs. Microsoft Azure Synapse Analytics vs. Riak KV

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionFirebird is an open source RDBMS forked from Borland's InterBasedata warehouse software for querying and managing large distributed datasets, built on HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitewww.firebirdsql.orghive.apache.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.firebirdsql.org/­en/­reference-manualscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­azure/­synapse-analyticswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperFirebird FoundationApache Software Foundation infoinitially developed by FacebookMicrosoftOpenSource, formerly Basho Technologies
Initial release2000 infoAs fork of Borland's InterBase201220162009
Current release5.0.0, January 20243.1.3, April 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC++Erlang
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMhostedLinux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesrestricted
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyesno
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C#
Java
PHP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresPSQLyes infouser defined functions and integration of map-reduceTransact SQLErlang
Triggersyesnonoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and rolesyesyes, using Riak Security

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More resources
FirebirdHiveMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRiak KV
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