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DBMS > Altibase vs. Atos Standard Common Repository vs. GigaSpaces vs. IRONdb vs. SWC-DB

System Properties Comparison Altibase vs. Atos Standard Common Repository vs. GigaSpaces vs. IRONdb vs. SWC-DB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonIRONdb  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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.
DescriptionAn enterprise grade, high-performance RDBMSHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA high performance, scalable Wide Column DBMS
Primary database modelRelational DBMSDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSWide column store
Secondary database modelsGraph DBMS
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitealtibase.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comwww.circonus.com/solutions/time-series-database/github.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.gigaspaces.com/­latest/­landing.htmldocs.circonus.com/irondb/category/getting-started
DeveloperAltibaseAtos Convergence CreatorsGigaspaces TechnologiesCirconus LLC.Alex Kashirin
Initial release19992016200020172020
Current releasev7.3, 2023, August 2023170315.5, September 2020V0.10.20, January 20180.5, April 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava, C++, .NetC and C++C++
Server operating systemsAIX
HP-UX
Linux
LinuxLinux
macOS
Solaris
Windows
LinuxLinux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes infotext, numeric, histograms
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI SQL-92noSQL-99 for query and DML statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsJDBC
ODBC
Proprietary protocol
LDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP APIProprietary protocol
Thrift
Supported programming languagesC
C++
Java
All languages with LDAP bindings.Net
C++
Java
Python
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyesyes, in Luano
Triggersyesyesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
configurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDno
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.yesyesyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationRole-based access controlno

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More resources
AltibaseAtos Standard Common RepositoryGigaSpacesIRONdbSWC-DB infoSuper Wide Column Database
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