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DBMS > Badger vs. Firebird vs. Interbase vs. Microsoft Access vs. Sqrrl

System Properties Comparison Badger vs. Firebird vs. Interbase vs. Microsoft Access vs. Sqrrl

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonFirebird  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Access  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.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Firebird is an open source RDBMS forked from Borland's InterBaseLight-weight proven RDBMS infooriginally from BorlandMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.firebirdsql.orgwww.embarcadero.com/­products/­interbasewww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.firebirdsql.org/­en/­reference-manualsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­access
DeveloperDGraph LabsFirebird FoundationEmbarcaderoMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20172000 infoAs fork of Borland's InterBase198419922012
Current release5.0.0, January 2024InterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoInitial Developer's Public Licensecommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++CC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Android
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoexport as XML data possible
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyesyes infobut not compliant to any SQL standardno
APIs and other access methodsADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGoC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoPSQLyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonenonenonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationInterbase Change Viewsnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BadgerFirebirdInterbaseMicrosoft AccessSqrrl
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