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DBMS > FatDB vs. Hypertable vs. Linter vs. Microsoft Azure Synapse Analytics vs. PouchDB

System Properties Comparison FatDB vs. Hypertable vs. Linter vs. Microsoft Azure Synapse Analytics vs. PouchDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonHypertable  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPouchDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.An open source BigTable implementation based on distributed file systems such as HadoopRDBMS for high security requirementsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerJavaScript DBMS with an API inspired by CouchDB
Primary database modelDocument store
Key-value store
Wide column storeRelational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitelinter.ruazure.microsoft.com/­services/­synapse-analyticspouchdb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticspouchdb.com/­guides
DeveloperFatCloudHypertable Inc.relex.ruMicrosoftApache Software Foundation
Initial release20122009199020162012
Current release0.9.8.11, March 20167.1.1, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++C and C++C++JavaScript
Server operating systemsWindowsLinux
OS X
Windows infoan inofficial Windows port is available
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nonono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyesyesyes infovia views
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyesyesno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
C++ API
Thrift
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C#
Java
PHP
JavaScript
Server-side scripts infoStored proceduresyes infovia applicationsnoyes infoproprietary syntax with the possibility to convert from PL/SQLTransact SQLView functions in JavaScript
Triggersyes infovia applicationsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding, horizontal partitioningSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelSource-replica replicationyesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno 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 datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsnofine grained access rights according to SQL-standardyesno

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More resources
FatDBHypertableLinterMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePouchDB
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