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DBMS > Atos Standard Common Repository vs. Databricks vs. Heroic vs. InfluxDB vs. Percona Server for MongoDB

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Heroic vs. InfluxDB vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonHeroic  Xexclude from comparisonInfluxDB  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Time Series DBMSTime Series DBMSDocument store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comgithub.com/­spotify/­heroicwww.influxdata.com/­products/­influxdb-overviewwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.databricks.comspotify.github.io/­heroicdocs.influxdata.com/­influxdbdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAtos Convergence CreatorsDatabricksSpotifyPercona
Initial release20162013201420132015
Current release17032.7.6, April 20243.4.10-2.10, November 2017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen 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 languageJavaJavaGoC++
Server operating systemsLinuxhostedLinux
OS X infothrough Homebrew
Linux
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyesNumeric data and Stringsyes
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 indexesyesyesyes infovia Elasticsearchnoyes
SQL infoSupport of SQLnowith Databricks SQLnoSQL-like query languageno
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
proprietary protocol using JSON
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
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 aggregatesnonoJavaScript
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingSharding infoin enterprise version onlySharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesselectable replication factor infoin enterprise version onlySource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnonono
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.yesnonoyes infoDepending on used storage engineyes infovia In-Memory Engine
User concepts infoAccess controlLDAP bind authenticationsimple rights management via user accountsAccess rights for users and roles
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksHeroicInfluxDBPercona Server for MongoDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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