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DBMS > CouchDB vs. Impala vs. Microsoft Azure Synapse Analytics vs. XTDB

System Properties Comparison CouchDB vs. Impala vs. Microsoft Azure Synapse Analytics vs. XTDB

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Analytic DBMS for HadoopElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.79
Rank#40  Overall
#6  Document stores
Score18.68
Rank#38  Overall
#23  Relational DBMS
Score17.27
Rank#39  Overall
#24  Relational DBMS
Score0.04
Rank#328  Overall
#44  Document stores
Websitecouchdb.apache.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlazure.microsoft.com/­services/­synapse-analyticsgithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­azure/­synapse-analyticsxtdb.com/­howto/­quickstart.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerClouderaMicrosoftJuxt Ltd.
Initial release2005201320162019
Current release3.1.1, September 20203.4.0, April 20201.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++C++Clojure
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
LinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes, extensible-data-notation format
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.nononono
Secondary indexesyes infovia viewsyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyeslimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET
JDBC
ODBC
HTTP REST
JDBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
All languages supporting JDBC/ODBCC#
Java
PHP
Clojure
Java
Server-side scripts infoStored proceduresView functions in JavaScriptyes infouser defined functions and integration of map-reduceTransact SQLno
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosyes

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"ImpalaMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseXTDB infoformerly named Crux
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