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DBMS > FatDB vs. InfluxDB vs. Percona Server for MongoDB vs. Sequoiadb vs. Spark SQL

System Properties Comparison FatDB vs. InfluxDB vs. Percona Server for MongoDB vs. Sequoiadb vs. Spark SQL

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.DBMS for storing time series, events and metricsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.NewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Time Series DBMSDocument storeDocument store
Relational DBMS
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.60
Rank#246  Overall
#38  Document stores
Score0.50
Rank#264  Overall
#42  Document stores
#121  Relational DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.sequoiadb.comspark.apache.org/­sql
Technical documentationdocs.influxdata.com/­influxdbdocs.percona.com/­percona-distribution-for-mongodbwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudPerconaSequoiadb Ltd.Apache Software Foundation
Initial release20122013201520132014
Current release2.7.5, January 20243.4.10-2.10, November 20173.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL Version 2Open Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoC++C++Scala
Server operating systemsWindowsLinux
OS X infothrough Homebrew
LinuxLinuxLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes infooid, date, timestamp, binary, regexyes
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 indexesyesnoyesyesno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languagenoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
proprietary protocol using JSONproprietary protocol using JSONJDBC
ODBC
Supported programming languagesC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnoJavaScriptJavaScriptno
Triggersyes infovia applicationsnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlySource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoDocument is locked during a transactionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes infovia In-Memory Enginenono
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accountsAccess rights for users and rolessimple password-based access controlno
More information provided by the system vendor
FatDBInfluxDBPercona Server for MongoDBSequoiadbSpark SQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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