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DBMS > CouchDB vs. eXtremeDB vs. HEAVY.AI vs. Microsoft Azure Synapse Analytics

System Properties Comparison CouchDB vs. eXtremeDB vs. HEAVY.AI 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 comparisoneXtremeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  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.Natively in-memory DBMS with options for persistency, high-availability and clusteringA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitecouchdb.apache.orgwww.mcobject.comgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.couchdb.org/­en/­stablewww.mcobject.com/­docs/­extremedb.htmdocs.heavy.aidocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMcObjectHEAVY.AI, Inc.Microsoft
Initial release2005200120162016
Current release3.3.3, December 20238.2, 20215.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC and C++C++ and CUDAC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linuxhosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infosupport of XML interfaces availablenono
Secondary indexesyes infovia viewsyesnoyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLyesyes
APIs and other access methodsRESTful HTTP/JSON API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
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
.Net
C
C#
C++
Java
Lua
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
PHP
Server-side scripts infoStored proceduresView functions in JavaScriptyesnoTransact SQL
Triggersyesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0horizontal partitioning / shardingSharding infoRound robinSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono 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 possibleACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardyes

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"eXtremeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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