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DBMS > Atos Standard Common Repository vs. GigaSpaces vs. Hazelcast vs. Heroic vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. GigaSpaces vs. Hazelcast vs. Heroic vs. Yaacomo

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHazelcast  Xexclude from comparisonHeroic  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is 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 TransactionsA widely adopted in-memory data gridTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Document store
Object oriented DBMS infoValues are user defined objects
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store infoJSON support with IMDG 3.12
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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.gigaspaces.comhazelcast.comgithub.com/­spotify/­heroicyaacomo.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlhazelcast.org/­imdg/­docsspotify.github.io/­heroic
DeveloperAtos Convergence CreatorsGigaspaces TechnologiesHazelcastSpotifyQ2WEB GmbH
Initial release20162000200820142009
Current release170315.5, September 20205.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache 2.0commercial
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++, .NetJavaJava
Server operating systemsLinuxLinux
macOS
Solaris
Windows
All OS with a Java VMAndroid
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 metadatayes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like query languagenoyes
APIs and other access methodsLDAPGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C++
Java
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesno
Triggersyesyes, event driven architectureyes infoEventsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoReplicated MapyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDone or two-phase-commit; repeatable reads; read commitednoACID
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.yesyesyesnoyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlRole-based access controlfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryGigaSpacesHazelcastHeroicYaacomo
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