eyko Beats for Snowflake
Snowflake stores your data. eyko Beats turns it into action.
You don't need a new system.
You need a decision layer above the warehouse you already have. eyko Beats connects to your Snowflake, runs Playbooks against your live data, and delivers the answer with the context behind it, in minutes.
The gap
Snowflake is doing its job. The gap is what happens after.
Snowflake stores and computes your data at scale. But every question that matters still ends with someone writing SQL and waiting, and that's the gap eyko Beats closes.
SQL is the gating bottleneck
Every business question becomes a ticket to the data team, and the decision waits for someone to write the query.
eyko answer
eyko's Conversations let the business ask in plain language; the Playbook runs the query and delivers the answer with context.
Dashboards age the moment they ship
You built the dashboard six months ago, and the team queries it only when they remember it exists.
eyko answer
eyko trades static dashboards for Playbooks: structured briefings refreshed against the live warehouse.
Credit costs spike, you find out late
Someone runs an expensive query, costs spike, and you find out in the next bill, not in time to act.
eyko answer
eyko trends warehouse credit consumption by query and user, flagging cost anomalies before the bill lands.
Why it's hard
Snowflake wasn't designed to answer questions. Here's what that means in practice.
SCHEMA PROLIFERATION
Your data lives in raw, staging, and mart layers simultaneously.
Most Snowflake environments have three or more schema layers built by different tools and teams. The business metric your CFO cares about may be defined differently in each one.
SEMI-STRUCTURED DATA
JSON columns require FLATTEN() before they make sense.
Snowflake's VARIANT type stores JSON, Parquet, and Avro inline. To query it like a normal column you need FLATTEN() with LATERAL joins. Business users can't write this.
BUSINESS LOGIC
The logic that defines your KPIs probably lives in dbt, not Snowflake.
Most Snowflake-based stacks run dbt transformations on top of the raw data. The "Revenue" number in your mart is only correct if you understand the dbt model that built it.
eyko Beats works with your Snowflake data as it exists — raw, staged, or transformed — and lets you ask business questions without writing a line of SQL.
The conceptual frame
1 + 1 = 3
Your existing system. Your data. Your history.
Decision intelligence. Playbooks. Live analysis.
Answers. Context. Action.
You spent years and serious money landing data in Snowflake. It adds a decision layer above your existing warehouse. One that delivers answers, not dashboards.
How it works
From Snowflake to decision. Three steps. Same day.
- Connect
- 1
- Run a Playbook
- 2
- Get the answer, not just the chart
- 3
Point eyko Beats at your Snowflake via the native connector, role-scoped and read-only by default. No data movement, no new warehouse; first Playbook ready in minutes.
Pick the question that's been sitting on your list. "Why is gross margin moving the way it is?" "Which warehouses are eating credits?" "Where is product usage signalling churn?" The Playbook scopes the data and runs it against your warehouse.
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 dashboard to interpret.
The Snowflake-only way
- Ticket to the data team
- Wait for the SQL + dashboard
- Dashboard shows the number
- Clean data first, then value
- Six-figure BI implementation
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 Snowflake data
These aren't hypothetical. These are the Playbooks customers run in week one.
Credit consumption spikes by warehouse, query, and user.
Credit consumption spikes by warehouse, query, and user.
What "fast" looks like
No data warehouse to build. No new ETL. No waiting.
You already built the warehouse. eyko points at it and runs Playbooks against your live data the same day you connect.
- Time from connection to first Playbook
- < 30 min
- When first real insight lands
- Day 1
- New ETL projects, semantic-layer rebuilds, or system integrators required
- 0
Built on decades of data platform integration expertise. eyko connects to Snowflake via the native connector, role-scoped, read-only by default.
FAQ
Questions Snowflake teams ask before they start
Practical answers
How eyko Beats sits alongside Snowflake, what it costs, and what it takes to get going.
No. eyko Beats sits above Snowflake as a decision intelligence layer. Your Snowflake continues to run as your data platform exactly as it does today. eyko adds the analytical and decision layer on top, so you get the benefit of both without replacing anything.
eyko Beats connects to Snowflake via the native connector with a service-account credential, role-scoped and read-only by default. There is no data movement, no replication, and no new warehouse required. Most customers are running their first Playbook within 30 minutes of connecting.
No. eyko Beats is designed to work with real-world warehouse data, which means data that is messy, inconsistent, and incomplete. The platform surfaces data gaps as part of the Playbook process and handles deduplication, classification, and normalization automatically. You see value immediately. Cleanup happens around the answer, not before it.
eyko Beats is designed for business decisions, not just reporting. Typical questions include why gross margin is moving the way it is, which customer cohorts are showing churn precursors, where credit consumption is spiking, and how the marketing pipeline is converting at each touch. Playbooks structure these into repeatable briefings your team can run at any cadence.
A BI tool gives you dashboards. eyko Beats gives you Playbooks. Dashboards present numbers; Playbooks explain what changed, why, and what to do next. eyko is built around the decision the business needs to make, with the briefing and the recommended action, not just the chart.
eyko Beats is a monthly subscription priced to let you start small and prove value before committing at scale. There is no six-figure implementation cost and no multi-year contract required. Most customers begin with one or two Playbooks, see value within the first week, and expand from there.
Snowflake has an official MCP server available, providing AI agents and tools with direct access to Snowflake data and Cortex AI capabilities. eyko Beats also connects natively to Snowflake and is optimized for business-question Playbooks across your Snowflake data. The Snowflake MCP is best suited for developer and AI-agent use cases; eyko Beats is designed for business users who want answers without writing queries. For the official MCP server, see the Snowflake MCP Documentation at https://docs.snowflake.com/en/user-guide/snowflake-mcp.
Your Snowflake is already doing its job. Let eyko Beats do the rest.
No new system. No data project. Connect your Snowflake and get a decision, not a dashboard.