EBOOK
Secrets of Apache Spark to Snowflake Migration Success
Why leading orgs are migrating from Apache Spark-based solutions for greater cost efficiency, simplicity and reliability
This new ebook includes:
Key considerations for choosing a data platform
5 reasons companies are moving to Snowflake
9 in-depth migration success stories
and more
Demystifying thedata platform decision
Choosing a data platform is one of the most vital decisions any company can make — and there are many factors to consider.
A critical part of this decision is which foundational technology to build infrastructure on. Managed Apache Spark environments — such as Databricks, Amazon EMR and certain Cloudera deployments — can present teams with a plethora of pain points, including complexity, security concerns and performance issues.
But many leading organizations are reevaluating their data platform and its underpinning technology, moving to Snowflake’s fully managed, easy-to-use platform to save millions of dollars (Chicago Trading Company), maximize the return on their investment (Bond Brand Loyalty) and get their products to market faster so they can delight their customers sooner (Swire Coca-Cola, USA).
Because we moved to Snowflake’s simple, easy-to-use environment, we’ve saved 50% in infrastructure costs and 20% of the team’s time. We’re reinvesting these savings into our platform so we can add new features faster to better attract and serve clients."
Vineet Gorhe
Soaring savings —not surging costs
Snowflake’s ease of use and ease of scale are key reasons organizations migrate — and in doing so, companies are saving tremendous amounts of time and human costs they’d otherwise be investing in maintenance and performance tuning.
While organizations see an average of 35% cost savings with Snowpark over managed Spark, many customers report savings far beyond that.
The value of moving to Snowflake
AMN Healthcare slashed costs by 93% to save millions every year
Chicago Trading Company saved 54%, amounting to millions of dollars annually
Travelpass yielded 65% in savings by moving from Databricks to Snowflake
Bond Brand Loyalty cut costs by 54%
NYSE saved more than 50% for its regulatory reporting workload
IGS Energy reaped 75% cost savings by moving the training of customer-level forecasting models in Databricks to a unified model in Snowflake
What differentiates Snowflake is not just the technology, it's the partnership. That's true across the entire Snowflake ecosystem — from leadership to engineering. When we choose to adopt a technology, it's about more than features, capabilities or costs. It's about our ability to find a true business partner who can help us get the greatest value from our technology investments.”
Francis Silva
Reliability at scale —not broken pipelines
Organizations need fast data processing and reliable data pipelines to power their daily operations.
Benefitting from Snowflake’s flexibility, performance and on-demand scalability, customers see an average of 4.6x faster performance with Snowpark over managed Spark, which translates into big rewards for organizations.
4.6X
Customers see an average of 4.6x faster performance with Snowpark over managed Spark
“We don’t need to go down the Spark road anymore because Snowflake is a scalable, reliable and secure foundation for our advanced business intelligence and data science use cases."
Patrick Callinan
Peace of mind and built-in governance —not bolted-on security
A robust data governance strategy is vital for organizations to protect sensitive information, fulfill a growing list of regulatory requirements and ensure the right people have access to the right content.
That’s why security has been foundational to Snowflake since day one. Snowflake’s single, cross-cloud governance model has always been a differentiator, helping organizations protect their data while ensuring the right people have access to the right content.
Download the EBook