The tools in this category
Spreadsheet-native analytics connected to your data warehouse.
Financial modeling and analytics for SaaS.
SQL and Python analytics for data teams.
Enterprise BI with LookML modeling layer.
Notebook-style data analytics platform.
Enterprise BI standard for visualization.
Our take on analytics & reporting
Analytics tools split into two camps. Enterprise BI (Looker, Tableau, Mode, Hex) requires a data team and long deployment cycles. Modern spreadsheet-native tools (Equals, Causal) work like Excel connected to your data warehouse — faster to build, easier to maintain, and often good enough for teams under 200 employees.
For most RevOps and finance teams under Series C, Equals is our pick. It's fast, spreadsheet-native, and connects to HubSpot and Salesforce directly. Enterprise teams still land on Looker or Tableau because they need the depth. Mode and Hex serve the data-team-heavy middle.
The mistake most teams make: over-buying enterprise BI before they need it. Under Series C, Equals + Causal covers 80% of the analytics work most companies actually do.
How we'd stack these tools together
Analytics tools consume from your data warehouse (Snowflake, BigQuery, or CRM sync) and produce dashboards for the rest of the org. Pair with your CRM as the source of truth and workflow automation for scheduled data movement.