DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon DynamoDB vs. InfluxDB vs. Netezza vs. SiriDB

System Properties Comparison Amazon DynamoDB vs. InfluxDB vs. Netezza vs. SiriDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDBMS for storing time series, events and metricsData warehouse and analytics appliance part of IBM PureSystemsOpen Source Time Series DBMS
Primary database modelDocument store
Key-value store
Time Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score77.63
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score28.38
Rank#29  Overall
#1  Time Series DBMS
Score20.25
Rank#36  Overall
#22  Relational DBMS
Score0.01
Rank#347  Overall
#34  Time Series DBMS
Websiteaws.amazon.com/­dynamodbwww.influxdata.com/­products/­influxdb-overviewwww.ibm.com/­products/­netezzasiridb.net
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.influxdata.com/­influxdbdocs.siridb.net
DeveloperAmazonIBMTransceptor Technology
Initial release2012201320002017
Current release2.0.8, August 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC
Server operating systemshostedLinux
OS X infothrough Homebrew
Linux infoincluded in applianceLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes infoNumeric data
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methodsRESTful HTTP APIHTTP API
JSON over UDP
JDBC
ODBC
OLE DB
HTTP API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersyes infoby integration with AWS Lambdanonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infoin enterprise version onlySource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionnoACIDno
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 engineyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)simple rights management via user accountsUsers with fine-grained authorization conceptsimple rights management via user accounts
More information provided by the system vendor
Amazon DynamoDBInfluxDBNetezza infoAlso called PureData System for Analytics by IBMSiriDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
News

Expand Kubernetes Monitoring with Telegraf Operator
3 December 2021

TL;DR InfluxDB Tech Tips – Visualizing Uptime with Flux deadman() Function in InfluxDB Dashboards
2 December 2021

Plugin Spotlight: Exec & Execd
2 December 2021

Data Visualization Made Easy with ReactJS, Nivo and InfluxDB
1 December 2021

The NVIDIA Jetson Series – Part 2 (Vision AI Pipeline)
30 November 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBInfluxDBNetezza infoAlso called PureData System for Analytics by IBMSiriDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Increased popularity for consuming DBMS services out of the cloud
2 October 2015, Paul Andlinger

show all

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

show all

Recent citations in the news

AWS Working to Scale Aurora DB Writes Globally, Like Spanner
3 December 2021, Datanami

AWS Announces Three New Database Capabilities
1 December 2021, Business Wire

Storage news ticker – December 2 – Blocks and Files
2 December 2021, Blocks and Files

Everything You Need to Know About AWS DynamoDB
28 May 2021, hackernoon.com

OpsCruise Introduces Ground-breaking approach for Real-Time AWS Serverless Observability
30 November 2021, Valdosta Daily Times

provided by Google News

Scaling telemetry monitoring with InfluxDB
30 November 2021, InfoWorld

InfluxData Brings Time Series Expertise to AWS re:Invent 2021
17 November 2021, Business Wire

InfluxData Updates Aim To Speed Delivery of Real-Time, Data-Driven Apps
5 November 2021, Integration Developers

InfluxData releases InfluxDB Notebooks to enhance collaboration for teams working with time series data
14 April 2021, Business Wire

Monitoring PLC and SCADA Systems Using MQTT and InfluxDB -- ADTmag
30 September 2021, ADT Magazine

provided by Google News

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

The Accelerated Path To Petabyte-Scale Graph Databases
28 October 2021, The Next Platform

IBM to Acquire Netezza for $1.78 Billion - WSJ
20 September 2010, Wall Street Journal

IBM to buy analytics company Netezza for $1.7 billion
20 September 2010, Reuters

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News

Job opportunities

Manager – Amazon DynamoDB
Amazon Dev Center U.S., Inc., Georgia

Sr SW Development Engineer, DynamoDB Global Tables
Amazon Dev Center U.S., Inc., Remote

Manual QA Testers
Xpanxion, Remote

Remote-AWS EMR-Full Time
Visionary Innovative Technology Solutions, Remote

Sr. Manager – Amazon DynamoDB
Amazon Dev Center U.S., Inc., United States

Netezza DBA
Kaizen Technologies, Charlotte, NC

Cognos developoer
NexZen, Germantown, MD

Tableau Administrator
Lucid Motors, Newark, CA

Data & AI Specialist
Microsoft, New York, NY

Data Engineer III
Boston Children's Hospital, Boston, MA

jobs by Indeed



Share this page

Featured Products

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Present your product here