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DBMS > CouchDB vs. LeanXcale vs. Microsoft Azure Synapse Analytics

System Properties Comparison CouchDB vs. LeanXcale vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.A highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.42
Rank#43  Overall
#7  Document stores
Score0.41
Rank#322  Overall
#45  Key-value stores
#143  Relational DBMS
Score24.93
Rank#32  Overall
#19  Relational DBMS
Websitecouchdb.apache.orgwww.leanxcale.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.couchdb.org/­en/­stabledocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerLeanXcaleMicrosoft
Initial release200520152016
Current release3.3.2, April 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes
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.nono
Secondary indexesyes infovia viewsyes
SQL infoSupport of SQLnoyes infothrough Apache Derbyyes
APIs and other access methodsRESTful HTTP/JSON APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
Java
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresView functions in JavaScriptTransact SQL
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per databaseyes
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"LeanXcaleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"LeanXcaleMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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