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DBMS > Altibase vs. Databend vs. Spark SQL vs. Transbase

System Properties Comparison Altibase vs. Databend vs. Spark SQL vs. Transbase

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDatabend  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexitySpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitealtibase.comgithub.com/­datafuselabs/­databend
www.databend.com
spark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.databend.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAltibaseDatabend LabsApache Software FoundationTransaction Software GmbH
Initial release1999202120141987
Current releasev7.3, 2023, August 20231.0.59, April 20233.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++RustScalaC and C++
Server operating systemsAIX
HP-UX
Linux
hosted
Linux
macOS
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLANSI SQL-92yesSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C++
Java
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsnonoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesnofine grained access rights according to SQL-standard

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More resources
AltibaseDatabendSpark SQLTransbase
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