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DBMS > Atos Standard Common Repository vs. etcd vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. etcd vs. Hazelcast vs. Microsoft Azure Synapse Analytics vs. SiteWhere

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSiteWhere  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 distributed reliable key-value storeA widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Key-value storeKey-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryetcd.io
github.com/­etcd-io/­etcd
hazelcast.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­sitewhere/­sitewhere
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analyticssitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsHazelcastMicrosoftSiteWhere
Initial release2016200820162010
Current release17033.4, August 20195.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaC++Java
Server operating systemsLinuxFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMhostedLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateoptionalnoyesyesyes
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.yesnoyes infothe object must implement a serialization strategynono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnonoSQL-like query languageyesno
APIs and other access methodsLDAPgRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyes infoEvent Listeners, Executor ServicesTransact SQL
Triggersyesyes, watching key changesyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated Mapyesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoone or two-phase-commit; repeatable reads; read commitedACIDno
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.yesnoyesno
User concepts infoAccess controlLDAP bind authenticationnoRole-based access controlyesUsers with fine-grained authorization concept

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Atos Standard Common RepositoryetcdHazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSiteWhere
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