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DBMS > FatDB vs. Firebird vs. Hive vs. QuestDB

System Properties Comparison FatDB vs. Firebird vs. Hive vs. QuestDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFirebird  Xexclude from comparisonHive  Xexclude from comparisonQuestDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Firebird is an open source RDBMS forked from Borland's InterBasedata warehouse software for querying and managing large distributed datasets, built on HadoopA high performance open source SQL database for time series data
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitewww.firebirdsql.orghive.apache.orgquestdb.io
Technical documentationwww.firebirdsql.org/­en/­reference-manualscwiki.apache.org/­confluence/­display/­Hive/­Homequestdb.io/­docs
DeveloperFatCloudFirebird FoundationApache Software Foundation infoinitially developed by FacebookQuestDB Technology Inc
Initial release20122000 infoAs fork of Borland's InterBase20122014
Current release5.0.0, January 20243.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++JavaJava (Zero-GC), C++, Rust
Server operating systemsWindowsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
All OS with a Java VMLinux
macOS
Windows
Data schemeschema-freeyesyesyes infoschema-free via InfluxDB Line Protocol
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.no
Secondary indexesyesyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServeryesSQL-like DML and DDL statementsSQL with time-series extensions
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
ODBC
Thrift
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Java
PHP
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyes infovia applicationsPSQLyes infouser defined functions and integration of map-reduceno
Triggersyes infovia applicationsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationselectable replication factorSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
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.yes infothrough memory mapped files
User concepts infoAccess controlno infoCan implement custom security layer via applicationsUsers with fine-grained authorization conceptAccess rights for users, groups and roles
More information provided by the system vendor
FatDBFirebirdHiveQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
FatDBFirebirdHiveQuestDB
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