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DBMS > Firebird vs. Firebolt vs. Sphinx vs. Sqrrl

System Properties Comparison Firebird vs. Firebolt vs. Sphinx vs. Sqrrl

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Editorial information provided by DB-Engines
NameFirebird  Xexclude from comparisonFirebolt  Xexclude from comparisonSphinx  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionFirebird is an open source RDBMS forked from Borland's InterBaseHighly scalable cloud data warehouse and analytics product infoForked from ClickhouseOpen source search engine for searching in data from different sources, e.g. relational databasesAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.firebirdsql.orgwww.firebolt.iosphinxsearch.comsqrrl.com
Technical documentationwww.firebirdsql.org/­en/­reference-manualsdocs.firebolt.iosphinxsearch.com/­docs
DeveloperFirebird FoundationFirebolt Analytics Inc.Sphinx Technologies Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2000 infoAs fork of Borland's InterBase202020012012
Current release5.0.0, January 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
.Net
ODBC
RESTful HTTP API
Proprietary protocolAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Go
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresPSQLnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layernoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
FirebirdFireboltSphinxSqrrl
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