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DBMS > AntDB vs. Atos Standard Common Repository vs. JSqlDb vs. Spark SQL

System Properties Comparison AntDB vs. Atos Standard Common Repository vs. JSqlDb vs. Spark SQL

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonJSqlDb  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksJavaScript Query Language Database, stores JavaScript objects and primitivesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#317  Overall
#141  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmlatos.net/en/convergence-creators/portfolio/standard-common-repositoryjsqldb.org (offline)spark.apache.org/­sql
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAsiaInfo Technologies LimitedAtos Convergence CreatorsKonrad von BackstromApache Software Foundation
Initial release201620182014
Current release17030.8, December 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemsLinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalnoyes
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.yesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL2016 compliantnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
LDAPJDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsJavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresnofunctions in JavaScriptno
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlLDAP bind authenticationno

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More resources
AntDBAtos Standard Common RepositoryJSqlDbSpark SQL
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