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DBMS > Apache Drill vs. CouchDB vs. Databricks vs. Datomic vs. mSQL

System Properties Comparison Apache Drill vs. CouchDB vs. Databricks vs. Datomic vs. mSQL

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonDatabricks  Xexclude from comparisonDatomic  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA 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.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitymSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelDocument store
Relational DBMS
Document storeDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score8.30
Rank#47  Overall
#7  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websitedrill.apache.orgcouchdb.apache.orgwww.databricks.comwww.datomic.comhughestech.com.au/­products/­msql
Technical documentationdrill.apache.org/­docsdocs.couchdb.org/­en/­stabledocs.databricks.comdocs.datomic.com
DeveloperApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerDatabricksCognitectHughes Technologies
Initial release20122005201320121994
Current release1.20.3, January 20233.3.3, December 20231.0.7075, December 20234.4, October 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache version 2commercialcommercial infolimited edition freecommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangJava, ClojureC
Server operating systemsLinux
OS X
Windows
Android
BSD
Linux
OS X
Solaris
Windows
hostedAll OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonoyesnono
Secondary indexesnoyes infovia viewsyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnowith Databricks SQLnoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP/JSON APIJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesC++C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
Python
R
Scala
Clojure
Java
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresuser defined functionsView functions in JavaScriptuser defined functions and aggregatesyes infoTransaction Functionsno
TriggersnoyesBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoimproved architecture with release 2.0none infoBut extensive use of caching in the application peersnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesnone infoBut extensive use of caching in the application peersnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a single document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesyesno
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourcenonoyes inforecommended only for testing and developmentno
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users can be defined per databasenono
More information provided by the system vendor
Apache DrillCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksDatomicmSQL infoMini SQL
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Apache DrillCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"DatabricksDatomicmSQL infoMini SQL
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