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DBMS > Altibase vs. Sadas Engine vs. Spark SQL

System Properties Comparison Altibase vs. Sadas Engine vs. Spark SQL

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comwww.sadasengine.comspark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseSADAS s.r.l.Apache Software Foundation
Initial release199920062014
Current releasev7.3, 2023, August 20238.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Scala
Server operating systemsAIX
HP-UX
Linux
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLANSI SQL-92yesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesC
C++
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.yesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
AltibaseSadas EngineSpark SQL
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