Mode

Mode Analytics is a comprehensive, cloud-based analytics platform tailored for data-driven organizations. It blends SQL querying, Python and R scripting, and interactive visualizations into a single, streamlined environment that supports every stage of the analytics workflow—from raw data exploration to presentation-ready dashboards.

The platform begins with a robust SQL Editor, where analysts can write and execute complex queries using a fast and responsive interface. Users can work with multiple query tabs, reuse code snippets, and take advantage of features like templating for dynamic queries. Once data is queried, analysts can use integrated Python and R Notebooks to run advanced models, create data transformations, and apply machine learning techniques using popular open-source libraries.

For business users, Mode provides Visual Explorer, a drag-and-drop tool to build interactive dashboards. Reports can include filters, themes, and parameters, making them easy to customize and share. Dashboards can be embedded into internal applications or external websites.

Mode’s governance and collaboration tools include shared datasets, workspaces, access controls, and GitHub integration. These features enable teams to maintain consistency, track changes, and promote reuse across departments. Alerts, scheduling, and Slack/email notifications ensure stakeholders stay informed with the latest updates.

The software supports direct connections to leading data warehouses including Snowflake, Redshift, BigQuery, and others. This eliminates the need for data extracts, keeping reports up-to-date in real-time.

Mode is offered in three tiers: Studio (free for individuals), Pro (for growing teams needing more control and support), and Enterprise (for large organizations requiring advanced security and compliance). Each plan is designed to scale with business needs and includes comprehensive support, training, and onboarding resources.

Trusted by top brands in tech, finance, healthcare, and retail, Mode Analytics helps organizations accelerate insight generation, foster data literacy, and make smarter, faster decisions at scale.

Key Features

• Unified platform for SQL, Python, and R

• Real-time data querying and analysis

• Integrated notebooks for advanced analytics

• Interactive dashboards with filters and themes

• Drag-and-drop Visual Explorer

• Scheduled reports and automated alerts

• Shared datasets and workspace collaboration

• GitHub and Slack integration

• Embeddable reports and secure sharing

• Connections to major data warehouses