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DBMS > InfluxDB vs. Machbase Neo vs. ScyllaDB

System Properties Comparison InfluxDB vs. Machbase Neo vs. ScyllaDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsTimeSeries DBMS for AIoT and BigDataCassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSTime Series DBMSWide column store
Secondary database modelsSpatial DBMS infowith GEO packageKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.59
Rank#28  Overall
#1  Time Series DBMS
Score0.04
Rank#356  Overall
#36  Time Series DBMS
Score3.84
Rank#75  Overall
#5  Wide column stores
Websitewww.influxdata.com/­products/­influxdb-overviewmachbase.comwww.scylladb.com
Technical documentationdocs.influxdata.com/­influxdbmachbase.com/­dbmsdocs.scylladb.com
DeveloperMachbaseScyllaDB
Initial release201320132015
Current release2.7.6, April 2024V8.0, August 2023ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree test version availableOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageGoCC++
Server operating systemsLinux
OS X infothrough Homebrew
Linux
macOS
Windows
Linux
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateNumeric 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.nonono
Secondary indexesnoyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languageSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP API
JSON over UDP
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languages.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
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnonoyes, Lua
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyselectable replication factorselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
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 tableyes infoin-memory tables
User concepts infoAccess controlsimple rights management via user accountssimple password-based access controlAccess rights for users can be defined per object
More information provided by the system vendor
InfluxDBMachbase Neo infoFormer name was InfinifluxScyllaDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
ScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Highly-performant (efficiently utilizes full resources of a node and network; millions...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
ScyllaDB is ideal for applications that require high throughput and low latency at...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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Discord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
ScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
ScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfluxDBMachbase Neo infoFormer name was InfinifluxScyllaDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

Amazon Timestream for InfluxDB Handles Your Time Series Workloads
27 June 2024, iProgrammer

provided by Google News

ScyllaDB 6 Adds Node Distribution Feature
24 June 2024, iProgrammer

Sleeping at Scale - Delivering 10k Timers per Second per Node with Rust, Tokio, Kafka, and Scylla
26 April 2024, InfoQ.com

ScyllaDB Raises $43M to Take on MongoDB at Scale, Push Database Performance to New Levels
17 October 2023, Datanami

ScyllaDB on AWS is a NoSQL Database Built for Gigabyte-to-Petabyte Scale
6 January 2023, AWS Blog

ScyllaDB Database Review
21 August 2018, eWeek

provided by Google News



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