KNIME: An easy and intuitive platform to create and productionise data science. 

KNIME is trusted by businesses across Australia

KNIME Analytics Platform

An open-source, no-code software to access, blend, analyse and visualise data

Blend & Transform ⇒  Model & Visualise 

KNIME Analytics Platform

KNIME Business Hub

A single environment for data workers to securely collaborate on and deploy data science

Deploy & Manage ⇒ Consume & Interact


Get started for free! 
Download the new KNIME Analytics Platform 5.2

Build data analytics workflows with an KNIME’s intuitive, drag and drop UI

Perform visual programming without the need for coding. Model each step of your data analysis, control the flow of data, and ensure your work is always current with KNIME. Blend tools from different domains in a single workflow, including scripting in R & Python, machine learning, or connectors to Apache Spark.

Blend and Analyse data from multiple sources

Combine simple text formats like CSV, PDF, XLS, JSON, XML; unstructured data like images, documents, networks, molecules, etc; or time series data. Integrate with a host of databases and data warehouses from Oracle, Microsoft SQL, Apache Hive, Snowflake, and more. Load Avro, Parquet, or ORC files from HDFS, S3, or Azure.

Access and retrieve data from sources such as Salesforce, SharePoint, SAP Reader (Theobald Software), Twitter, AWS S3, Google Sheets, Azure, and more.

Ready to scale data impact with a commercial software?

Collaborate across teams and disciplines with KNIME Hub

Share Python scripts, data, components, and workflows across your team or entire organisation while complying with data protection policies through the control of access management. Reproduce data science by recording workflow revisions along with the data, enabling debugging, tracking, and auditing.


Upskill data users across your organisation

Build and share reusable workflows as a starter kit for beginners – creating a knowledge base of training materials and best practices for your organisation and enabling self-onboarding for new users. Deploy workflows as interactive data apps to easily onboard non-technical users.

Deploy reports, data apps and services

Data apps put actionable insights in the hands of the end-users, without requiring them to do any coding or analysis. With KNIME, data experts can not only build predictive models and reports via visual interface, without any coding, they can also put a front end to these workflows and deploy them as data apps, specific to their business use, thus putting the power in the hands of end users. 

When developing a KNIME Data App, a workflow developer has complete control over the interactivity that will be available to the end-user and the complexity of the underlying workflow. Alongside accessing KNIME’s visual programming environment, KNIME Data Apps also provide the possibility to reach out to any number of technologies that are integrated into KNIME’s open ecosystem (scripting languages like Python, machine learning libraries like H2O, etc). 

The complexity of data science, in particular, is what distinguishes KNIME data apps from BI solutions like Tableau or Qlik. While many BI tools make interactive visualisations easier, KNIME allows granular control over how data is transformed and what data science happens behind the scenes.

KNIME data apps

Scale with cloud native architecture

Scale and pin workflow execution with well provisioned, high performance cloud architecture which is configured to your specifications. Design, edit, and execute workflows using the Remote Workflow Editor and take advantage of well provisioned hardware in a secure environment. Minimise IT bottlenecks with centralised administration and data governance. 


Customer Testimonial

Predicting At-Risk Clients

KNIME helps to solve what is often the most time consuming and overlooked part of data science – preparing data and deploying models in an automated, repeatable way. KNIME brings agility to data science by allowing this to be done from the outset.

This encourages an iterative approach to machine learning, where useful results can be developed and deployed to the business quickly using pre-built components. Based on both technical metrics and feedback from the business, these results can then be tuned and enhanced over time.

Andrew Dun
Data and Analytics Manager

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Want to chat about KNIME Hub?

Forest Grove is KNIME’s Elite Partner, and winner of Partner of the Year for 2020 and KNIME’s APAC Partner of the Year 2022. As leaders in analytics and data consulting, Forest Grove harnesses the power of KNIME analytics when implementing and developing data analytics solutions. Forest Grove’s KNIME analytics experience spans a range of industries including finance, banking, manufacturing, resources, government, utilities and retail. Our comprehensive data and analytics solutions include in-house data strategy expertise, on-going KNIME support, guidance, and training from a highly skilled and passionate group of professionals and more. Get in touch with Forest Grove today.

For expert support in data analytics with KNIME, get in touch with Forest Grove today.

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