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DBMS > Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. RocksDB vs. Spark SQL vs. TerarkDB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Synapse Analytics vs. RocksDB vs. Spark SQL vs. TerarkDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRocksDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Spark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Key-value store
Relational DBMSKey-value storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­services/­synapse-analyticsrocksdb.orgspark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsgithub.com/­facebook/­rocksdb/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAtos Convergence CreatorsMicrosoftFacebook, Inc.Apache Software FoundationByteDance, originally Terark
Initial release20162016201320142016
Current release17038.11.4, April 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++ScalaC++
Server operating systemsLinuxhostedLinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalyesnoyesno
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.yesnononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLnoyesnoSQL-like DML and DDL statementsno
APIs and other access methodsLDAPADO.NET
JDBC
ODBC
C++ API
Java API
JDBC
ODBC
C++ API
Java API
Supported programming languagesAll languages with LDAP bindingsC#
Java
PHP
C
C++
Go
Java
Perl
Python
Ruby
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnoTransact SQLnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioninghorizontal partitioningyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlLDAP bind authenticationyesnonono

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More resources
Atos Standard Common RepositoryMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRocksDBSpark SQLTerarkDB
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