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DBMS > Brytlyt vs. FatDB vs. InfluxDB vs. Machbase Neo vs. Spark SQL

System Properties Comparison Brytlyt vs. FatDB vs. InfluxDB vs. Machbase Neo vs. Spark SQL

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFatDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  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.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA .NET NoSQL DBMS that can integrate with and extend SQL Server.DBMS for storing time series, events and metricsTimeSeries DBMS for AIoT and BigDataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#276  Overall
#126  Relational DBMS
Score26.89
Rank#28  Overall
#1  Time Series DBMS
Score0.28
Rank#307  Overall
#26  Time Series DBMS
Score19.56
Rank#34  Overall
#21  Relational DBMS
Websitebrytlyt.iowww.influxdata.com/­products/­influxdb-overviewmachbase.comspark.apache.org/­sql
Technical documentationdocs.brytlyt.iodocs.influxdata.com/­influxdbmachbase.com/­dbmsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperBrytlytFatCloudMachbaseApache Software Foundation
Initial release20162012201320132014
Current release5.0, August 20232.7.5, January 2024V8.0, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree test version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC#GoCScala
Server operating systemsLinux
OS X
Windows
WindowsLinux
OS X infothrough Homebrew
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesyes
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyesno infoVia inetgration in SQL ServerSQL-like query languageSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP API
JSON over UDP
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes infovia applicationsnonono
Triggersyesyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factorselectable replication factor infoin enterprise version onlyselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesnoyes
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 infovolatile and lookup tableno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationssimple rights management via user accountssimple password-based access controlno
More information provided by the system vendor
BrytlytFatDBInfluxDBMachbase Neo infoFormer name was InfinifluxSpark 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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