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DBMS > FeatureBase vs. Firebird vs. Google Cloud Datastore vs. Hive vs. Postgres-XL

System Properties Comparison FeatureBase vs. Firebird vs. Google Cloud Datastore vs. Hive vs. Postgres-XL

Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonHive  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Firebird is an open source RDBMS forked from Borland's InterBaseAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platformdata warehouse software for querying and managing large distributed datasets, built on HadoopBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.featurebase.comwww.firebirdsql.orgcloud.google.com/­datastorehive.apache.orgwww.postgres-xl.org
Technical documentationdocs.featurebase.comwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­datastore/­docscwiki.apache.org/­confluence/­display/­Hive/­Homewww.postgres-xl.org/­documentation
DeveloperMolecula and Pilosa Open Source ContributorsFirebird FoundationGoogleApache Software Foundation infoinitially developed by Facebook
Initial release20172000 infoAs fork of Borland's InterBase200820122014 infosince 2012, originally named StormDB
Current release2022, May 20225.0.0, January 20243.1.3, April 202210 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache Version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++JavaC
Server operating systemsLinux
macOS
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAll OS with a Java VMLinux
macOS
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes, details hereyesyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL queriesyesSQL-like query language (GQL)SQL-like DML and DDL statementsyes infodistributed, parallel query execution
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJava
Python
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
PHP
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresPSQLusing Google App Engineyes infouser defined functions and integration of map-reduceuser defined functions
TriggersnoyesCallbacks using the Google Apps Enginenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication using Paxosselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes infovia ReferenceProperties or Ancestor pathsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesfine grained access rights according to SQL-standard

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More resources
FeatureBaseFirebirdGoogle Cloud DatastoreHivePostgres-XL
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