5 Compelling Snowflake Customer Metrics That You Need to Know
Hashmap’s 2021 Snowflake Customer Survey Results
Snowflake’s annual user conference, Snowflake Summit, recently wrapped up and during that week we released five unique Snowflake customer metrics. We polled the Hashmap Snowflake customer base (we’ve completed 90+ Snowflake projects over the last 3 years) going into Summit to get a sense of how Snowflake is being used and the value that is being delivered.
A huge thank you to all of our customers that responded! The findings were really insightful and many of our customers had asked to see a summary of the results post-poll. This blog post wrapped all 5 up together and provides some additional commentary on each result.
Here’s #1 — How Our Customers’ Felt About Snowflake Compute Costs
One of the top questions we get is “Are your other Snowflake customers happy with their Snowflake monthly costs?” A large majority of our customers (64%) agreed that their compute costs were lower than or equal to what they expected.
The other 36% are paying more than what they initially expected, but what we didn’t ask, as a follow-up, but probably should have is, “If your average compute costs are higher than what you expected, is that because your use of Snowflake has grown beyond the initial use case/s”. We’d be willing to bet “yes” just based on the fact that the vast majority of the data teams at our customers become quickly inundated with requests for new data apps, analytics, and reports based on the initial success of Snowflake and therefore drives more demand for Snowflake compute. The responses to our second poll question below also indicate that is likely the case. Bottom line, Snowflake has designed their service so that value has to be earned every day with every dollar spent, if the value is not there, then why stay.
The key thing is that you are always able to measure compute cost versus value delivered and also control those costs, both up (need more compute for new workloads) and down (ensuring that you aren’t wasting compute or keeping it running unnecessarily).
#2 — Snowflake User Adoption Was Incredibly High For Our Customers
Snowflake checks all the boxes for speed, simplicity, sustainability, and self serve and the Snowflake service is very SQL-friendly as well. Data consumers are able to bring their SQL tool of choice to Snowflake and be productive right from day one.
Additionally, Snowflake’s is opening up more avenues for developers all the time and recently made available the Snowpark API allowing data engineers, data scientists, and developers to write code in their languages of choice, using familiar programming concepts, and then execute workloads such as ETL/ELT, data preparation, and feature engineering on Snowflake.
Lastly, Snowflake’s push into new workloads beyond just data warehousing is no doubt contributing to increasing user adoption. Whether it’s data engineering, data science, data lakes, data sharing, or new data apps, the possibilities for use are continuing to expand.
#3 — Our Customers Say That Snowflake Admin/Ops Effort and Cost is Low
From the beginning, one of the most refreshing aspects of Snowflake has been the low to no infrastructure and operations effort required to keep the service optimized and running properly and this result speaks directly to that fact.
The much lower ops effort as compared to on-premise data platforms is likely obvious to most everyone, but what’s not as clear is how Snowflake, as a true SaaS product, has simplified operations and admin to such a degree that it significantly beyond any other cloud data platforms as well.
Additionally, Snowflake provides all the needed controls at your fingertips to put the service into auto-pilot mode from a capacity scaling (up and down) standpoint requiring very little oversight or intervention.
#4 — What Our Customers Most Liked About Snowflake
Simplicity and speed to value go hand-in-hand and Snowflake customers overwhelmingly chose this as a key differentiator for the service and what they liked most. In today’s data game, if you can’t achieve speed, you are irrelevant. Enough said.
#5 — How Our Customers Are Using Snowflake
No surprises here — when Snowflake started, the only workload was data warehousing and customers have migrated from just about every appliance or platform to do just that — Netezza, Teradata, Exadata, Hadoop, SQL Server, Oracle, and many others. But what’s interesting is that the other workloads in Snowflake’s Data Cloud are really starting to pick up steam. We expect that trend to continue and actually accelerate throughout this year.
Of note, in our survey, participants didn’t have the option of choosing more than one workload, they had to select their primary workload and 35% of our Snowflake customers described their primary workload as something besides data warehousing.
Lastly, here is an infographic with all 5 survey results combined for convenience.
Until Next Year
We had a lot of fun with the poll and it was great to get a glimpse into our customers’ perspectives on Snowflake — we truly appreciate our incredible customers and their willingness to share, participate, and contribute to the community!
We will look to make this an annual survey to be released in and around Summit each year. Let us know if there are Snowflake topics or questions that you’d be interested in us including next time!
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