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DBMS > FatDB vs. InfluxDB vs. Rockset vs. Spark SQL

System Properties Comparison FatDB vs. InfluxDB vs. Rockset vs. Spark SQL

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonRockset  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 scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Time Series DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewrockset.comspark.apache.org/­sql
Technical documentationdocs.influxdata.com/­influxdbdocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudRocksetApache Software Foundation
Initial release2012201320192014
Current release2.7.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoC++Scala
Server operating systemsWindowsLinux
OS X infothrough Homebrew
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsdynamic typingyes
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 infoingestion from XML files supportedno
Secondary indexesyesnoall fields are automatically indexedno
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languageRead-only SQL queries, including JOINsSQL-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
HTTP RESTJDBC
ODBC
Supported programming languagesC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia applicationsnonono
Triggersyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlyyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yes infoDepending on used storage engineno
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accountsAccess rights for users and organizations can be defined via Rockset consoleno
More information provided by the system vendor
FatDBInfluxDBRocksetSpark 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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More resources
FatDBInfluxDBRocksetSpark SQL
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