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DBMS > Atos Standard Common Repository vs. Hazelcast vs. Riak TS vs. SpatiaLite

System Properties Comparison Atos Standard Common Repository vs. Hazelcast vs. Riak TS vs. SpatiaLite

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHazelcast  Xexclude from comparisonRiak TS  Xexclude from comparisonSpatiaLite  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 widely adopted in-memory data gridRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSpatial extension of SQLite
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSSpatial DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryhazelcast.comwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationhazelcast.org/­imdg/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
DeveloperAtos Convergence CreatorsHazelcastOpen Source, formerly Basho TechnologiesAlessandro Furieri
Initial release2016200820152008
Current release17035.3.6, November 20233.0.0, September 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen SourceOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlangC++
Server operating systemsLinuxAll OS with a Java VMLinux
OS X
server-less
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.yesyes infothe object must implement a serialization strategynono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLnoSQL-like query languageyes, limitedyes
APIs and other access methodsLDAPJCache
JPA
Memcached protocol
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesAll languages with LDAP bindings.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C 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
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesErlangno
Triggersyesyes infoEventsyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsone or two-phase-commit; repeatable reads; read commitednoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlLDAP bind authenticationRole-based access controlnono

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More resources
Atos Standard Common RepositoryHazelcastRiak TSSpatiaLite
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