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DBMS > Apache Druid vs. Atos Standard Common Repository vs. CouchDB vs. Databricks

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. CouchDB vs. Databricks

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.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.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Document storeDocument store
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorycouchdb.apache.orgwww.databricks.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.couchdb.org/­en/­stabledocs.databricks.com
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricks
Initial release2012201620052013
Current release29.0.1, April 202417033.3.3, December 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaErlang
Server operating systemsLinux
OS X
Unix
LinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesoptionalno
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.noyesnoyes
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL for queryingnonowith Databricks SQL
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPRESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Server-side scripts infoStored proceduresnonoView functions in JavaScriptuser defined functions and aggregates
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionSharding infoimproved architecture with release 2.0
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infostrategy: optimistic lockingyes
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.noyesnono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationAccess rights for users can be defined per database
More information provided by the system vendor
Apache DruidAtos Standard Common RepositoryCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Databricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DruidAtos Standard Common RepositoryCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Databricks
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