Earlier this year, we released Import Jobs, allowing customers and partners to rapidly onboard data sets from Snowflake. Today, we're adding an integration with Google BigQuery to also support customers and data sets hosted on BigQuery, furthering our goal of helping investors combine and analyze all their alternative data in one place.

Revamped charting in Signal Explorer and saving of charts to the Library; a new Financial Models feature; revamped File Uploader; star your Library objects for easy access; and public sharing links for partners.

Charts in the Signal Explorer have been revamped, and may now be saved and shared as objects in your Library. New chart types are now available, and you now have much more control over chart settings.

Financial models allow you to map company KPIs to alternative data signals, combining data from multiple sources and aggregating it to a company's fiscal quarters.

Improved Library search, SDK support for importing Excel files and a new "global" entity, improved prediction model training to utilize more data points, and dashboard table downloads "as-viewed".

Revamped Library with search, starred folders, improved item previews and navigation; table and correlation views in Signal explorer; prediction model support for non-company targets; and many more improvements and fixes.

We are planning to deprecate the legacy relative_change(signal, ...) syntax, which has been superseded by the new signal.relative_change(...) syntax.

We have improved the signal.change() and signal.relative_change() DSL functions for temporal change (eg QoQ, YoY) to better handle irregular quarterly calendars.

New Import Jobs feature for direct Snowflake integration; dashboard tables now scale to tens of thousands of rows; new Signal Explorer with re-designed user experience and support for non-company entities.

We're excited to launch a new Import Jobs feature, which provides a direct Snowflake integration for you to easily bring your data into Exabel. This furthers our goal of helping customers analyze all their alternative data in one place, leveraging Exabel’s analytics to combine data sets and derive differentiated insights.