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DBMS > Badger vs. DolphinDB vs. Firebird

System Properties Comparison Badger vs. DolphinDB vs. Firebird

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonFirebird  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Firebird is an open source RDBMS forked from Borland's InterBase
Primary database modelKey-value storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.dolphindb.comwww.firebirdsql.org
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.htmlwww.firebirdsql.org/­en/­reference-manuals
DeveloperDGraph LabsDolphinDB, IncFirebird Foundation
Initial release201720182000 infoAs fork of Borland's InterBase
Current releasev2.00.4, January 20225.0.0, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availableOpen Source infoInitial Developer's Public License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesPSQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writers
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAdministrators, Users, GroupsUsers with fine-grained authorization concept

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More resources
BadgerDolphinDBFirebird
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