Also see our blog post with stories from Untold speakers, “My Fitbit sleep score is 88…”
Unravel Data recently held its first-ever customer conference, Untold 2020. We promoted Untold 2020 as a convocation of #datalovers. And these #datalovers generated some valuable data – including the interesting fact that more than 60% of surveyed customers have SLAs for either “more than 50% of their pipelines” (42%) or “all of their pipelines” (21%).
All of this ties together. Unravel makes it much easier for customers to set attainable SLAs for their pipelines, and to meet those SLAs once they’re set. Let’s look at some more data-driven findings from the conference.
And, if you’re an Unravel Data customer, reach out to access much more information, including webinar-type recordings of all five customer and industry expert presentations, with polling and results presentations interspersed throughout. If you are not yet a customer, but want to know more, you can try out Unravel for free or contact us.
Unravel Data CEO Kunal Agarwal kicking off Untold.
Note: “The plural of anecdotes is not data,” the saying goes – so, nostra culpa. The findings discussed herein are polling results from our customers who attended Untold, and they fall short of statistical significance. But they do represent the opinions of some of the most intense #datalovers in leading corporations worldwide – Unravel Data’s customer base. (“The great ones skate to where the puck’s going to be,” after Wayne Gretzky…)
Using Unravel, more than 60% of the pipelines managed by our customers have SLAs:
Pipelines were, understandably, a huge topic of conversation at Untold. Complex pipelines, and the need for better tools to manage them, are very common amongst our customers. And Unravel makes it possible for our customers to set, and meet, SLAs for their pipelines.
What percentage of your data pipelines have SLAs | |
<25% | 8.3% |
>25-50% | 29.2% |
>50% | 41.7% |
All of them | 20.8% |
We asked our attendees the biggest reason for cost overruns:
What is usually the biggest reason for cost overruns? | |
Bad applications taking too many resources | 75.0% |
Oversized containers | 20.0% |
Small files | 5.0% |
Amongst Unravel customers, almost two-thirds can identify their most expensive app(s) and user(s). Identifying costly apps and users is one of the strengths of Unravel Data:
Do you know who is the most expensive user / app on your system? | |
Yes | 65.0% |
No | 25.0% |
No, but would be great to know | 10.0% |
Knowing whether you have rogue users and/or apps on your system is very valuable:
We would bet good money that non-Unravel customers see a lot more rogue behavior than our customers do. With Unravel, you can know exactly who and what is “going rogue” – and you can help stakeholders get the same results with far less use of system resources and cost. This cuts down on rogue behavior, freeing up room for existing jobs, and for new applications to run with hitherto unattainable performance.
How often do you have rogue users/apps on your cluster? | |
All the time! | 42.9% |
Once a day | 19.0% |
Once a week | 38.1% |
Once you find and improve the bad apps that are currently in production, the logical next step is to prevent bad apps from even reaching production in the first place. Unravel customers are meeting this challenge:
Unravel Data customers – #datalovers all – look to be well ahead of the industry in managing issues that relate to big data, streaming data, and moving to the cloud. If you’re interested in joining this select group, you can try out Unravel for free or contact us. (There may still be some Untold conference swag left for new customers!)