Build Rockset workflows with AI Agents

Rockset is a powerful platform for real-time analytics, but unlocking its full value often requires technical expertise and manual querying. That’s where integrating Rockset with Runbear’s AI agent changes the game for teams: it puts live data, analytics, and searchable documentation at your team’s fingertips, right inside Slack, Microsoft Teams, or Discord. AI agents bridge the gap between Rockset’s speed and your team’s day-to-day decisions, making data-driven collaboration seamless and accessible for everyone.

About Rockset

Rockset is a modern, serverless search and real-time analytics engine designed for teams who need fast, flexible access to live data streams. Its core features include built-in data connectors for common cloud sources, smart schema detection, full SQL support (including for semi-structured and nested data), and lightning-fast aggregations. Rockset also provides vector search for advanced ML use cases, and Query Lambdas for reusable, parameterized data endpoints. The platform is trusted by developers, data engineers, and business analysts seeking to build live dashboards, data APIs, and analytics apps without the operational burdens of legacy databases. Teams choose Rockset for instant, scalable analytics that empower them to make timely, data-driven decisions straight from their operational and streaming datasets.

Use Cases in Practice

Runbear transforms Rockset from a backend analytics platform into a living, conversational part of your team's daily workflow. Let’s dive deeper into how each featured use case comes to life:

With Runbear, your AI agent acts as a bridge between Rockset and team chat. For example, when a product manager needs the latest conversion metrics, they simply ask in Slack—Runbear’s AI agent interprets the request, formulates the right Rockset SQL, and posts a clean chart. Daily or weekly performance updates can be scheduled so everyone gets up-to-date stats without manual intervention, echoing common workflows outlined in our Automate KPI Reporting guide.

When urgent business questions arise, team members can get instant answers from Rockset via the AI agent. Instead of chasing down analysts or waiting for dashboard shares, Runbear empowers the team to self-serve analytics. Lastly, AI agents can tap into your synced Rockset documentation, providing accurate context and resolving “what does this column mean?” queries—much like our approach to Internal Search and Knowledge Sync.

This tight integration means teams spend less time switching tabs or writing queries and more time acting on insights together. It not only accelerates decision-making but also democratizes data access—removing bottlenecks and making analytics truly collaborative.

Rockset vs Rockset + AI Agent: Key Differences

Integrating Runbear with Rockset transforms how teams access, analyze, and act on real-time data. Where Rockset alone provides a fast and flexible analytics backend, most teams still rely on data specialists or manual queries to retrieve information. With Runbear’s AI agent, teams can query Rockset using natural language, automate insights delivery, and seamlessly bring real-time analytics into daily team workflows without extra tools or training. This shift unlocks democratized data access, streamlined workflow automation, and smarter collaboration.

Implementation Considerations

While Rockset excels at making real-time data accessible, teams often face hurdles such as the need for SQL fluency, manual dashboard management, and slow knowledge transfer between data experts and business users. Adopting Runbear + Rockset requires some initial setup—connecting your Rockset workspace, setting permissions, and training your team to interact with the AI agent. Organizations should invest in onboarding to ensure all team members are comfortable using natural language queries. It’s important to review data governance and access rights, especially when democratizing analytics. Additionally, teams should plan for change management, ensuring buy-in from both technical stakeholders and everyday users so that the AI agent becomes a trusted, integral part of daily workflows. With the right preparation, these challenges can be transformed into an opportunity for broad-based team empowerment and efficiency.

Get Started Today

Bringing together the real-time analytics muscle of Rockset with the conversational intelligence of Runbear’s AI agent means every team now has a data expert on call in Slack, Teams, or Discord. This integration eliminates data silos, speeds up access to insights, and fosters true cross-functional collaboration. Ready to see how AI agents can revolutionize your Rockset workflows? Start a free trial with Runbear—empower your team to ask, analyze, and act on data faster than ever before, right from the tools you already use.