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DBMS > Altibase vs. Badger vs. Firebolt vs. Spark SQL

System Properties Comparison Altibase vs. Badger vs. Firebolt vs. Spark SQL

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonBadger  Xexclude from comparisonFirebolt  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.73
Rank#140  Overall
#63  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comgithub.com/­dgraph-io/­badgerwww.firebolt.iospark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsgodoc.org/­github.com/­dgraph-io/­badgerdocs.firebolt.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseDGraph LabsFirebolt Analytics Inc.Apache Software Foundation
Initial release1999201720202014
Current releasev7.3, 2023, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++GoScala
Server operating systemsAIX
HP-UX
Linux
BSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI SQL-92noyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
.Net
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC
C++
Java
GoGo
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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AltibaseBadgerFireboltSpark SQL
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