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DBMS > Altibase vs. Atos Standard Common Repository vs. atoti vs. Spark SQL

System Properties Comparison Altibase vs. Atos Standard Common Repository vs. atoti vs. Spark SQL

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionAn enterprise grade, high-performance RDBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Key-value store
Object oriented DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitealtibase.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.iospark.apache.org/­sql
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.atoti.iospark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAltibaseAtos Convergence CreatorsActiveViamApache Software Foundation
Initial release199920162014
Current releasev7.3, 2023, August 202317033.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercial infofree versions availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJavaScala
Server operating systemsAIX
HP-UX
Linux
LinuxLinux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyesoptionalyes
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.noyesno
Secondary indexesyesyesno
SQL infoSupport of SQLANSI SQL-92noMultidimensional Expressions (MDX)SQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Proprietary protocol
LDAPJDBC
ODBC
Supported programming languagesC
C++
Java
All languages with LDAP bindingsJava
Python
R
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoPythonno
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding, horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationno

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More resources
AltibaseAtos Standard Common RepositoryatotiSpark SQL
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