Contents

We are excited to introduce UI upgrades to Mammoth, improving user experience, with a more intuitive, flexible, and responsive interface.

The changes are now live on our platform at app.mammoth.io, where you can experience the improvements firsthand. Here’s a quick rundown of the major changes you’ll notice.

Pipeline Changes: More Control, Flexibility, and Simplicity

Sync Options:
Sync options are now clearly visible under the new Sync Options menu in the pipeline, no longer buried under dataflow settings.

Data sync options

Multi-Select & Bulk Actions:
We’ve added multi-select capabilities in the pipeline, allowing you to perform actions on multiple tasks at once. This includes:

  • Bulk Suspend and Restore: Bulk suspend and restore multiple tasks at once.
  • Bulk Delete: Easily remove multiple tasks at once.
Bulk actions mode

Reorder Mode:
Accidentally added a task in the wrong position? Activate Reorder Mode to drag and move tasks around in the pipeline. Once you’re happy with the order, simply save the changes. Note: Export tasks pinned to the end cannot be reordered.

Reorder tasks interface

Run pipeline now/later:
Whether you prefer to run tasks immediately or batch them and run the pipeline later, you now have these options easily accessible under the three dots menu in the pipeline. You can also make this decision directly from the function interface when creating tasks (as described below). Additionally, you can also review all changes in the pipeline before executing, ensuring everything is in order before running.

Run pipeline options – now or later

Card Density Customisation:
You now have the option to choose between different card densities. Toggle to show or hide details on cards depending on the level of information you need at a glance.

Card information density options

Functions UI: Enhanced Usability and Bulk Operations

Bulk Replace:
You can now review group suggestions and add them one by one. The group name represents the value that all items in the group will be replaced with.

Bulk replace – Group suggestions interface

Branchout options simplified:
The options for branching out to a project or dataset have been merged. Now, you’ll simply see the Branchout option. Select a folder or project from the destination list.

Enhanced Branchout UI

Task Execution Flexibility:
Just like in the pipeline interface, you can now decide when to run tasks (immediately or later) from within the function interface with a split button option. This provides a streamlined experience for planning your workflows.

Task execution options – now or later

Explore the New UI on Beta
These changes are now live on our beta site at app.mammoth.io, where you can experience the improvements firsthand. As always, we welcome your feedback and encourage you to share your thoughts to help us further refine your experience.

You can reach out to us via live chat in the bottom right corner on the Mammoth platform or write to us at support@mammoth.io. Happy exploring!


If you are new here and would like to give Mammoth a try, sign-up for a 100% free trial here.

Try Mammoth 7-Days Free

Try Mammoth’s Data Ops Platform

Mammoth connects 200+ data sources, prepares data automatically, and creates shareable dashboards.

7 day free trial.

Featured post

If you’re searching for SSIS alternatives, you already know why. Maybe a package broke. Maybe the person who built it left. Maybe you just got your SQL Server licensing bill and had a moment. Whatever brought you here, this is the honest breakdown. Ten tools, real pricing, actual opinions. Let’s go. SSIS Alternatives Compared: Quick […]

Recent posts

If you’re searching for Looker alternatives, something broke. Maybe it was the bill. Maybe it was watching your data engineer spend half their week responding to “can you just update this one filter” tickets. Maybe it was the moment you realized LookML is basically a second job nobody signed up for. Whatever it was, you’re […]

The short answer: Mammoth Analytics, Apache Hop, Airbyte, Integrate.io, Talend, AWS Glue, Microsoft SSIS, and Apache NiFi. Which one is right for you depends almost entirely on one question: does your team need an engineer to run it, or not? Pentaho was genuinely good. In 2012. Visual ETL, open source, got the job done when […]

So you’re done with Sisense. Or at least thinking about it. Maybe the renewal quote arrived and you did a double take. Maybe your team keeps filing IT tickets just to view a dashboard. Maybe you’ve spent three hours in ElastiCube documentation and you’re questioning your life choices. Whatever got you here, you’re not alone. […]