eyko Beats for Databricks
Databricks runs the compute. eyko Beats runs the decision.
Your lakehouse already holds clean, governed Delta tables.
But the answer still lives behind a notebook, a PySpark cell, or a SQL warehouse query someone has to write. eyko Beats connects to your Databricks workspace and answers the questions the business actually asks: where revenue is leaking, why margin moved, and which customers are about to churn, with the reasoning behind each answer.
Discounts, credits, and unbilled usage that quietly erode the top line, surfaced from your Delta tables.
The gap
Databricks is built for the engineers. The gap is everyone who has to act.
Databricks is built for data engineers and scientists, and it serves them well. But a finance or operations leader still cannot get a straight answer without joining a queue behind the engineering backlog. That is the gap eyko Beats closes.
You wait in line behind the engineering backlog
A business question becomes a ticket in the data team queue, so you ask fewer of them and the ones you do ask come back days later.
eyko answer
eyko Conversations let you ask in plain language and the Playbook runs against the lakehouse, so the answer comes back to you, not to a sprint board.
Notebooks go stale and are rerun only on request
The notebook that answered the question last quarter is out of date, and refreshing it means asking the data team to run it again.
eyko answer
eyko trades static notebooks for Playbooks refreshed against live Delta tables, so the briefing is current when you open it.
You are the last to know
The signal that a deal is slipping or a cost is climbing sits in the lakehouse for days before anyone outside the data team sees it.
eyko answer
eyko surfaces the change the day it happens and tells you what to do about it, not next sprint.
Why it's hard
Databricks wasn't designed to answer questions. Here's what that means in practice.
THE ANSWER IS LOCKED IN CODE
The definition of your KPI lives in a notebook only the data team can read.
Reproducing a number means asking an engineer to open the notebook and run it, so the business waits while the answer sits one conversation away.
THE SAME METRIC, MORE THAN ONE TRUTH
The same metric is defined in more than one place.
Two teams pull two different figures, and the meeting stalls on which one is right instead of acting on what the number is telling you.
YOUR BEST DATA TEAM IS STILL A QUEUE
You invested in a world-class lakehouse, and the business is further from the data than ever.
Every question joins a line behind the engineering backlog, so the people who have to make the call are the ones furthest from the answer.
eyko Beats works with your Databricks data as it exists across the medallion layers (bronze, silver, gold), governed by your Unity Catalog permissions, and lets the business ask decisions without writing Spark or SQL.
The conceptual frame
1 + 1 = 3
Your lakehouse. Delta tables. Unity Catalog governance.
Decision intelligence. Playbooks. Live analysis.
Answers. Context. Action.
Databricks does the heavy lifting of processing and governing the data. eyko Beats adds the layer that turns it into a decision, returning answers the business can act on instead of a notebook to read.
How it works
From Databricks to decision. Three steps. Same day.
- Connect
- 1
- Run a Playbook
- 2
- Get the answer, not just the chart
- 3
Point eyko Beats at a Databricks SQL warehouse governed by Unity Catalog, using OAuth on-behalf-of, role-scoped and read-only by default. No cluster to manage, no data movement, and it runs on the Photon engine. Your data team sees a read-only connection governed by your existing permissions. You see answers the same day.
Pick the question that has been waiting. "Why is gross margin moving the way it is?" "Where is revenue leaking?" "Which customers are about to churn?" The Playbook scopes the data and runs it against your lakehouse.
eyko delivers an executive-grade briefing: what happened, why it happened, what to watch, and what to do next. A decision to act on, not a notebook to interpret.
The Databricks-only way
- Ticket to the data team
- Wait for the notebook or SQL
- Result shows the number
- Clean and model first
- Large platform and engineering build
The eyko Beats way
- Ask the question directly
- Answer lands in minutes
- Playbook explains the cause
- Value this week; cleanup as you go
- Monthly subscription, cancel any time
The Building Blocks journey
You don't have to connect everything before you see anything.
Start where you are. Add what you need, when you're ready. Every block you add builds on the last. Nothing gets replaced.
Drop in a CSV or Excel from any system. Your first Playbook runs in minutes. No warehouse, no IT ticket.
You don't need to plan the full architecture before you connect your first system. Each stage works independently. Adding the next one doesn't change what you've already built.
Playbook examples
What eyko Beats surfaces from your Databricks data
Not slideware. These are the Playbooks lakehouse teams run in their first week, no notebook required.
Discounts, credits, and unbilled usage that quietly erode the top line, surfaced from your Delta tables.
Discounts, credits, and unbilled usage that quietly erode the top line, surfaced from your Delta tables.
What "fast" looks like
No data project. No engineering backlog. A decision the same day.
You already built the lakehouse. eyko points at a SQL warehouse and runs Playbooks against your live Delta tables the same day you connect.
- Time from connection to first Playbook
- < 30 min
- When first real insight lands
- Day 1
- New ETL projects, cluster setup, or notebooks required
- 0
eyko connects to a Databricks SQL warehouse via the native connector, governed by Unity Catalog, role-scoped, read-only by default.
FAQ
Questions Databricks teams ask before they start
Practical answers
How eyko Beats sits alongside Databricks, what it costs, and what it takes to get going.
eyko Beats is built for finance and operations leaders, not the data engineering team. You ask business questions of your lakehouse in plain language and get a decision with the reasoning behind it. Your data team only approves a read-only connection once, then stays out of the loop.
No. eyko Beats sits above Databricks as a decision intelligence layer. Your lakehouse continues to process, store, and govern your data exactly as it does today, and eyko adds the analytical and decision layer on top. You keep Databricks and gain answers without replacing anything.
eyko Beats connects through the native connector to a Databricks SQL warehouse, using OAuth on-behalf-of and governed by Unity Catalog, role-scoped and read-only by default. There is no cluster to manage and no data movement. Most customers run their first Playbook within 30 minutes of connecting.
No. eyko Beats works with real-world lakehouse data across the bronze, silver, and gold layers as it already exists. The platform surfaces data gaps as part of the Playbook and handles deduplication, classification, and normalization on the way to the answer. You see value immediately and clean up around the answer, not before it.
eyko Beats answers business decisions rather than just reporting metrics. Typical questions include why gross margin is moving the way it is, where revenue is leaking, which cohorts show churn precursors, and how the pipeline is converting at each touch. Playbooks structure these into repeatable briefings your team can run at any cadence.
Databricks SQL and lakehouse dashboards give you query results and charts; eyko Beats gives you a Playbook. The query returns the number, while the Playbook explains what changed, why it changed, and what to do next. eyko is built around the decision the business needs to make, with the briefing and the recommended action attached.
eyko Beats is a monthly subscription priced so you can start small and prove value before committing at scale. There is no six-figure implementation and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there.
Yes. Databricks provides managed Model Context Protocol servers in public preview that connect AI agents to data in Unity Catalog, Databricks AI Search indexes, and Genie Spaces, with Unity Catalog permissions always enforced and OAuth on-behalf-of authentication. Genie (Genie One) is the native natural-language assistant that translates questions into SQL. These target developer and AI-agent natural-language-to-SQL use cases. eyko Beats connects natively to Databricks and is built for business users who want decision-grade Playbooks rather than query results or agent tooling. For the managed servers, see https://docs.databricks.com/aws/en/generative-ai/mcp/managed-mcp.
Your lakehouse already does the heavy lifting.
Let eyko Beats make the decision.
No new system. No data project. Connect your Databricks workspace and get a decision, not a notebook.