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DBMS > Atos Standard Common Repository vs. InfinityDB vs. Riak TS vs. Rockset vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. InfinityDB vs. Riak TS vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonInfinityDB  Xexclude from comparisonRiak TS  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  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 networksA Java embedded Key-Value Store which extends the Java Map interfaceRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryboilerbay.comrockset.comspark.apache.org/­sql
Technical documentationboilerbay.com/­infinitydb/­manualwww.tiot.jp/­riak-docs/­riak/­ts/­latestdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsBoiler Bay Inc.Open Source, formerly Basho TechnologiesRocksetApache Software Foundation
Initial release20162002201520192014
Current release17034.03.0.0, September 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC++Scala
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
hostedLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnodynamic typingyes
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.yesnonono infoingestion from XML files supportedno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityrestrictedall fields are automatically indexedno
SQL infoSupport of SQLnonoyes, limitedRead-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsLDAPAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP API
Native Erlang Interface
HTTP RESTJDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsJavaC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoErlangnono
Triggersyesnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno infolinks between datasets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACID infoOptimistic locking for transactions; no isolation for bulk loadsnonono
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.yesnono
User concepts infoAccess controlLDAP bind authenticationnonoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Atos Standard Common RepositoryInfinityDBRiak TSRocksetSpark SQL
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