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

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

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  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 metricsSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score0.23
Rank#318  Overall
#47  Key-value stores
Websitewww.influxdata.com/­products/­influxdb-overviewspark.apache.org/­sqlwww.speedb.io
Technical documentationdocs.influxdata.com/­influxdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperFatCloudApache Software FoundationSpeedb
Initial release2012201320142020
Current release2.7.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#GoScalaC++
Server operating systemsWindowsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesno
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 indexesyesnonono
SQL infoSupport of SQLno infoVia inetgration in SQL ServerSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
JDBC
ODBC
Supported programming languagesC#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infovia applicationsnonono
Triggersyes infovia applicationsnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor infoin enterprise version onlynoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoyes
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 enginenoyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accountsnono
More information provided by the system vendor
FatDBInfluxDBSpark SQLSpeedb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» 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
Open source - Speedb OSS is released under an Apache license and can be found on...
» more
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More resources
FatDBInfluxDBSpark SQLSpeedb
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