How Similarweb delivers interactive analytics to thousands of customers in production
"So why firebolt? This is pretty much sums it up - we did a POC with Firebolt about a year ago a year and a half maybe and what we saw is that: we compared it to Athena to Bigquery and for example let's take a look for large size meaning like sites, which have a lot of data in our database in our table the the table we saw so for for a single country USA the largest country for one month the query returns in one to two seconds, even less. And for larger, for worldwide for example it can return in six seconds but in all of those uh scenarios but Fireball pretty much had the best performance."
How Firebolt powers Similarweb's Keyword Analysis tool
Yoav Shmaria, VP R&D SaaS Platform at Similarweb demos how their newest market tool takes keyword analysis to the next level - running complex queries on terabyte-scale datasets instantly over Firebolt.
How Similarweb Serves 100s of TBs to Their Worldwide Users in Milliseconds
How do you serve the entire internet to thousands of app users? Yoav Shmaria, VP R&D at SimilarWeb, discusses the company’s approach to handling massive internet data, leveraging DynamoDB for simple time series analysis and Firebolt for high-speed, complex queries. He explores the strengths and limitations of key-value stores compared to SQL query engines, showcasing how Firebolt's features enable scalable and efficient analytics with consistent millisecond response times.