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DBMS > Atos Standard Common Repository vs. Databricks vs. etcd vs. EXASOL vs. Percona Server for MongoDB

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. etcd vs. EXASOL vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonetcd  Xexclude from comparisonEXASOL  Xexclude from comparisonPercona Server for MongoDB  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 networksThe 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 storeHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Key-value storeRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.cometcd.io
github.com/­etcd-io/­etcd
www.exasol.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databricks.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.exasol.com/­resourcesdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAtos Convergence CreatorsDatabricksExasolPercona
Initial release2016201320002015
Current release17033.4, August 20193.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsLinuxhostedFreeBSD
Linux
Windows infoexperimental
Linux
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeyesschema-free
Typing infopredefined data types such as float or dateoptionalnoyesyes
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.yesyesnonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLnoyesno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
gRPC
JSON over HTTP
.Net
JDBC
ODBC
WebSocket
proprietary protocol using JSON
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
Java
Lua
Python
R
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnouser defined functionsJavaScript
Triggersyesyes, watching key changesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoHadoop integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACIDno
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.yesnonoyesyes infovia In-Memory Engine
User concepts infoAccess controlLDAP bind authenticationnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksetcdEXASOLPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryDatabricksetcdEXASOLPercona Server for MongoDB
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