How Starburst compares
Up to 80% cost savings for similar workloads

Cloud ≠ Modern

The open data lakehouse overcomes the limitations of legacy lakes, because it’s built with the understanding that center of gravity does not mean a single source of truth. It works with your other data sources in an open, scalable manner – creating a single, open system to access and govern the data in and around your lake.

From single source of truth to single point of access

Starburst simply accesses all data where it lives, regardless of location, and offers similar elastic scaling capabilities, fine-grained access control, client integrations, and performance of cloud data warehouses.

Starburst empowers its customers to

Starburst helps companies maximize value and recession-proof their data & analytics strategy by focusing their limited resources on the highest value activities for their business instead of managing their complex data environments

Have access to all data

  • Fast access to distributed data not only in CDW, but also federates to many other sources, with high concurrency
  • Purpose-built for data discovery, ad-hoc analytics, and long-running batch workloads

Work for today & tomorrow

  • Compute engine, allowing you to optimize your data storage
  • Use the SQL language your team knows with the tools they have
  • Consistent data access when migrating data to new storage

Optimize price / performance

  • Mitigate rising costs by offloading workloads to Starburst
  • Optionality in how and where queries are executed
  • Better control and automation over compute prioritization
reduce-datawarehouse-costs_3

Significant Cost Savings

Starburst offers a host of benefits by enabling access to data where it resides. This approach leads customers to substantial cost savings and improved operational efficiencies. The first advantage is evident in lower infrastructure costs, as the data is accessed directly without the need for additional storage or processing layers. Moreover, Starburst provides easy and automated cluster management with auto scaling capabilities, streamlining the process and reducing the operational overhead significantly.

Another aspect that contributes to cost reduction is the ability to perform complex queries at a lower cost than traditional data warehouses (CDW). Starburst’s efficient querying mechanism ensures that customers can derive valuable insights without incurring excessive expenses. Additionally, the platform facilitates the analysis of streaming data without the need to copy or move it to a separate location. This eliminates data duplication and movement, further enhancing operational efficiency and reducing total cost of ownership (TCO).

Furthermore, Starburst empowers engineers by freeing them from the burdens of data movement and management. With the platform’s capabilities to access data in place and perform tasks seamlessly, engineers can focus on value-added projects that drive innovation and growth for their organizations. This holistic approach to data access and management enables businesses seeking to optimize their operations and maximize their resources effectively.

Customer Stories

“With Starburst, we could scale up and scale down as we needed, resulting in 30% fewer compute resources required.”

Mike Prior

Principal IO Engineer, Optum

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“Auto scaling with graceful shutdown was an attractive feature.  We are now saving 50% on our AWS compute costs.”

lberto Miorin

Engineering Lead, Zalando

zalando
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“Our core intention was to enable our end users to use the raw data we have in a much faster way, rather than waiting for developers or data engineers to provide it. That is how we decided on Starburst.”

Sachin Menon

Sr. Director of Data, Priceline

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“The amount of clickstream data would have been cost-prohibitive on Snowflake. An evaluation of Starburst and Snowflake, found that high complexity queries would have cost 4x as much to run on Snowflake compared to Starburst … Running large tables on Snowflake costs 500% more per year than running the same tables on Starburst. We tend to use Snowflake only for small tables vs our large tables where 500GB is queried per day using Starburst.”

Director of Engineering, Online services marketplace

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