Overhead. It haunts every corner, every business process you can think of. Data analysis and warehousing are no exception.
When it comes to organizations that still use legacy systems for their data storage and analysis, this can come in the form of long query times and instability in their data systems.
Our customers Catalina Marketing and ACI Worldwide for example, had practices of running their queries overnight so not to interrupt operational processes during business hours.
It only makes sense that a lot of organizations suffering from performance or accessibility issues think “cloud” when looking to modernize their data systems.
When choosing a data platform for your team or organization, two companies that might come to mind are Databricks and Snowflake. No data architect or manager would get fired for suggesting the idea that their company use these top-of-the-line platforms to store and analyze their data.
So, you talk with sales, get an approval process with finance in the works, and after a period of implementation, you sit down to analyze your data with your new platform and it doesn’t take long for it to sink in:
Wow, it’s expensive.
After speaking with customers and other data teams who use these platforms, they’ve found a couple ways to solve this issue:
- Only use Databricks or Snowflake on certain workloads.
- Limit their overall use of their data tools.
With either method, your shiny new data system collects dust on the shelf and your data-driven decision making now comes with an * attached. But what if there was another way? A way you can bake your data cake and eat it too?
There’s a Better Way
Whether you’re looking to modernize your legacy platform or augment your existing cloud platform, Yellowbrick fits right in. It seamlessly integrates with your Databricks or Snowflake environment, providing
- up to 8x faster query speeds
- high concurrency for thousands of simultaneous users, and
- predictable costs with lower cost-per-query.
- Support for real-tie analytics and AI/ML workloads.
Let Databricks do what it does best and handle the processing and storage while Yellowbrick gives high-performing, value-driven analytics where your users need it most.
For Snowflake, flip the model: Yellowbrick will take care of the data processing and storage while Snowflake empowers users with analytics.
Built for the Future of Data
As AI-driven analytics, real-time decision-making, and data governance become mission-critical, Yellowbrick is built to handle high-throughput, low-latency workloads, without unpredictable costs. It’s the platform for teams who want speed, scale, and simplicity without compromise.
Sound too good to be true? See for yourself on our website:
