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DBMS > Badger vs. Databricks vs. Firebird vs. STSdb

System Properties Comparison Badger vs. Databricks vs. Firebird vs. STSdb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebird  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Firebird is an open source RDBMS forked from Borland's InterBaseKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeDocument store
Relational DBMS
Relational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­dgraph-io/­badgerwww.databricks.comwww.firebirdsql.orggithub.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.databricks.comwww.firebirdsql.org/­en/­reference-manuals
DeveloperDGraph LabsDatabricksFirebird FoundationSTS Soft SC
Initial release201720132000 infoAs fork of Borland's InterBase2011
Current release5.0.0, January 20244.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoInitial Developer's Public LicenseOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++C#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or datenoyesyes infoprimitive types and user defined types (classes)
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.noyes
Secondary indexesnoyesyesno
SQL infoSupport of SQLnowith Databricks SQLyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
.NET Client API
Supported programming languagesGoPython
R
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesPSQLno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes
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.nono
User concepts infoAccess controlnoUsers with fine-grained authorization conceptno
More information provided by the system vendor
BadgerDatabricksFirebirdSTSdb
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BadgerDatabricksFirebirdSTSdb
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