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DBMS > Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Blueflood vs. IRONdb vs. Spark SQL

System Properties Comparison Alibaba Cloud Table Store vs. Atos Standard Common Repository vs. Blueflood vs. IRONdb vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBlueflood  Xexclude from comparisonIRONdb  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable TimeSeries DBMS based on CassandraA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicitySpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelWide column storeDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storeatos.net/en/convergence-creators/portfolio/standard-common-repositoryblueflood.iowww.circonus.com/solutions/time-series-database/spark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoregithub.com/­rax-maas/­blueflood/­wikidocs.circonus.com/irondb/category/getting-startedspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaAtos Convergence CreatorsRackspaceCirconus LLC.Apache Software Foundation
Initial release20162016201320172014
Current release1703V0.10.20, January 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++Scala
Server operating systemshostedLinuxLinux
OS X
LinuxLinux
OS X
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewspredefined schemeschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalyesyes infotext, numeric, histogramsyes
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.noyesnonono
Secondary indexesnoyesnonono
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statements
APIs and other access methodsHTTP APILDAPHTTP RESTHTTP APIJDBC
ODBC
Supported programming languagesJava
Python
All languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononoyes, in Luano
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infocell divisionSharding infobased on CassandraAutomatic, metric affinity per nodeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsnonono
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.noyesnonono
User concepts infoAccess controlAccess rights based on subaccounts and tokensLDAP bind authenticationnonono

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More resources
Alibaba Cloud Table StoreAtos Standard Common RepositoryBluefloodIRONdbSpark SQL
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