Speed you can count on

If your dashboards aren't loading fast enough, your data can't be that useful.
Edge Caching
Whaly uses cache memory to speed up results, which can be up to 100x faster than RAM. Cache stores copies of the data, which makes it quicker and easier to fetch. Whaly always serves the result of your first query from cache. When changes have been made to your data, you can refresh the cache to ensure that your query results always show up at lightning speed. Plus, by leveraging cache, you’re already optimized to reduce your data warehouse cost.
Edge Caching
Smart Pre-Aggregations
Dimensions and metrics are calculated on the fly, and computed against your warehouse. Crawling this heavy data is not only expensive, but also painfully slow. There’s no need for that to happen every time you run a query. Whaly uses pre-aggregation by creating a table of pre-aggregated results, where only a few lines are scanned. With this table, you can crawl the pre-aggregated results on a need basis. Not only does this turbo-boost your speed, this also ensures that you’re optimized around data warehouse cost, and you won’t get a scary bill at the end of the month.
Smart Pre-Aggregations
Table Materialization
Our native integration with dbt means that you can leverage dbt’s table materialization when modeling your data, which offers the fastest experience. Not only are tables fast to query, you can also combine several tables. Rather than running the models every time, you can also save them and refresh periodically.
Table Materialization
Debugging Console
Our Console product that’s built into our modeling Workbench provides data teams with the tools they need to get to the bottom of query bottlenecks. They can use the Console to check speed and latency, and troubleshoot dashboards and queries for business users. Data teams are empowered to dig into why load times are slow, and get the insights they need to speed up queries.
Debugging Console

Further resources

How to choose the right data warehouse

How to choose the right data warehouse

The key considerations and criteria when choosing a happy home for your data. Getting a cloud-based data warehouse is a crucial step in setting up your stack. ...

Data mesh vs. data monolith: which structure is for you?

Data mesh vs. data monolith: which structure is for you?

As your company begins to adopt a data-driven culture, your organizational set-up matters. ...

How should you set up your BI data stack?

How should you set up your BI data stack?

How to clean up your fragmented data set-up and put together your data stack. We'll walk you through the technical and functional components. ...

Benoit Prigent
Benoit Prigent
Co Founder / CPO @ Lokki
Whaly helped us create metrics on top of 6 data sources in a matter of days instead of months without technical knowledge required !!
Edouard Mascré
Edouard Mascré
Co Founder @ Pennylane
We leveraged Whaly on the Sales team to build and share dashboards with ton of partners without having to continuously update things on many spreadsheets. It also gives us deeper insights on sales activity. The dashboards built can be shared with everyone in the company. Whaly saves us hours of data wrangling every day.
Benjamin Cambier
Benjamin Cambier
Co Founder @ Mansa
Mansa grew really fast in the past months and we were in urge of more precise metrics, especially for acquisition and deals analysis. Our engineering team was already swamped so we started our data analysis with Whaly. We compute our CAC per acquisition channel and understood at what stage the pipeline is under performing in minutes.
Quentin Lebret
Quentin Lebret
VP Operations @ Klox
Whaly gave us the tools to understand how our users consume our product and helped us create a better experience for our users.
Julio Cesar Rodriguez
Julio Cesar Rodriguez
Operation Automation Specialist @ Career Karma
Whaly helped us create actionable experience for our SDR based on data our data team has prepped for us in dbt.
Hugo Cornu
Hugo Cornu
Head of Growth @ Klox
Whaly helped us transform the way we work with data. We now back all our decision with data and can make informed decisions at any time