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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. Heroic vs. KairosDB vs. SwayDB

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. Heroic vs. KairosDB vs. SwayDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonKairosDB  Xexclude from comparisonSwayDB  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 networksHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDistributed Time Series DBMS based on Cassandra or H2An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSTime Series DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score0.67
Rank#233  Overall
#20  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comgithub.com/­spotify/­heroicgithub.com/­kairosdb/­kairosdbswaydb.simer.au
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroickairosdb.github.io
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesSpotifySimer Plaha
Initial release20162000201420132018
Current release170315.5, September 20201.2.2, November 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
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 languageJavaJava, C++, .NetJavaJavaScala
Server operating systemsLinuxLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesyesyesno
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.yesno infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyes infovia Elasticsearchnono
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnonono
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
Java
JavaScript infoNode.js
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresnoyesnonono
Triggersyesyes, event driven architecturenonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonoAtomic execution of operations
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.yesyesnonoyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlsimple password-based access controlno

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More resources
Atos Standard Common RepositoryGigaSpacesHeroicKairosDBSwayDB
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