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DBMS > Atos Standard Common Repository vs. atoti vs. Databricks vs. etcd vs. SiteWhere

System Properties Comparison Atos Standard Common Repository vs. atoti vs. Databricks vs. etcd vs. SiteWhere

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonatoti  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  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 networksAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed reliable key-value storeM2M integration platform for persisting/querying time series data
Primary database modelDocument store
Key-value store
Object oriented DBMSDocument store
Relational DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryatoti.iowww.databricks.cometcd.io
github.com/­etcd-io/­etcd
github.com/­sitewhere/­sitewhere
Technical documentationdocs.atoti.iodocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
sitewhere1.sitewhere.io/­index.html
DeveloperAtos Convergence CreatorsActiveViamDatabricksSiteWhere
Initial release201620132010
Current release17033.4, August 2019
License infoCommercial or Open Sourcecommercialcommercial infofree versions availablecommercialOpen Source infoApache Version 2.0Open Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoJava
Server operating systemsLinuxhostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freepredefined scheme
Typing infopredefined data types such as float or dateoptionalnoyes
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.yesyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoMultidimensional Expressions (MDX)with Databricks SQLnono
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
HTTP REST
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Server-side scripts infoStored proceduresnoPythonuser defined functions and aggregatesno
Triggersyesyes, watching key changes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesyesnonono
User concepts infoAccess controlLDAP bind authenticationnoUsers with fine-grained authorization concept
More information provided by the system vendor
Atos Standard Common RepositoryatotiDatabricksetcdSiteWhere
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryatotiDatabricksetcdSiteWhere
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