Capture · Zero-Copy Data Sources
Your warehouse data, live in Flash — without moving it.
Most integrations copy your data into yet another silo. Flash queries Snowflake, Databricks, Salesforce Data Cloud and Delta Sharing live, in place — with access limits, a spending cap on every query, and a full audit trail. Your data never leaves your warehouse.
Audit entry
query · access · cost · expiry
The problem
Your richest data sits in a warehouse your marketing tools can't reach.
Overnight syncs that lag
A nightly export means your segments are always yesterday's data. Fast-moving signals — predicted churn, live spend — arrive too late to act on.
Copies that drift apart
Every copy is a liability: privacy compliance, mismatched fields, and stale data. The more copies you keep, the harder it is to know which number is right.
A wall between your data and your campaigns
Your data team built the models. Your marketing team can't use them without weeks of custom engineering work.
How it works
A governed query, not a pipeline.
Flash runs a query directly against your data warehouse, uses the result briefly, then discards it. No data pipeline to build. No permanent copy. Every query has a spending limit and is logged.
You control what's pulled
You choose the exact data sets, filters and fields to pull — nothing else can be reached, so there's no way to over-request data.
Spend controls on every query
You set a spending limit per query. Flash reserves it before the query runs and records the real cost after. Runaway queries are blocked up front, not discovered on next month's bill.
Used briefly, then gone
Results are held just long enough to build a segment or personalize a message, then discarded — never archived or copied.
Supported platforms
Connect the warehouse you already run.
Snowflake
Secure key-based connection
Connects with a secure private key — no passwords or shared secrets to manage.
Databricks
Secure app connection
Reads only the data sets you allow, and nothing more.
Salesforce Data Cloud
Secure connected-app access
Queries your Salesforce Data Cloud directly, using a fresh secure credential for every request.
Delta Sharing
Open sharing standard
An open data-sharing standard that works with any compatible system — and only pulls the rows you actually need.
Governance by design
Every query is access-limited, spend-capped, and logged.
Querying in place doesn't mean giving up control. Every connection is limited to the data you allow. Every query runs under a spending cap. Every query is written to your audit log.
Access control
Each connection defines the exact data sets and fields Flash is allowed to read. Anything outside that is rejected before it ever runs.
Per-query spending limit
You set a maximum spend per query. Flash reserves it, runs the query, and records the real cost — blocking anything that would go over the limit.
Full audit trail
Every query — the connection, the data accessed, the cost, and how long it ran — is written to your audit log, with retention, export, and access controls.
The power of your warehouse, in place
Warehouse-scale answers, without the pipeline.
Snowflake, Databricks, BigQuery and Salesforce Data Cloud are massively parallel (MPP) SQL engines — built to crunch billions of rows of behavior, transactions and model output with analytical SQL no marketing tool could hold or run. Zero-copy runs your query there: the warehouse's own parallel compute does the heavy lifting, and Flash reads only the result. You get warehouse-scale segmentation, propensity and enrichment at the speed of a live query — with no data copied out, no compute to stand up in Flash, and no pipeline to build or babysit.
MPP scale
The heavy analytical SQL runs on the warehouse's parallel engine over billions of rows — not squeezed through a marketing tool that was never built for it.
Live, in place
Query the current state of your warehouse the moment you ask; the answer is today's, not last night's export.
One source of truth
The models, metrics and definitions your data team maintains stay authoritative — marketing reads them, never a re-derived copy that drifts.
What you can do with it
Live warehouse data, in the hands of your campaigns.
Querying in place closes the gap between the models your data team builds and the campaigns your marketing team sends — with no pipeline in the middle.
Predicted-churn segments
Read your churn model's results live, build a Flash segment from them, and send a win-back campaign the same day — not next week.
Personalization from your warehouse
Pull lifetime value, product affinity, or predicted next purchase from Snowflake straight into your emails — no manual export.
Marketing suppression lists
Suppress members who converted, opted out, or hit a service hold — using the freshest data from your warehouse, not a lagged copy.
Cross-channel enrichment
Enrich Flash member records with offline or marketplace signals from your data warehouse — one customer view, every channel.
Custom SQL audiences
Write SQL against your warehouse to define an audience your marketing tools could never express — a deep cohort, a propensity band, a multi-table join — and use it in Flash like any other segment. The heavy query runs on the warehouse's parallel engine, not in Flash.
One source of model truth
Read the same RFM, lifetime-value, propensity and product-affinity scores your data team already maintains in the warehouse — so marketing acts on the numbers the business trusts, never a re-derived copy.
Why not a data pipeline?
Querying in place vs. building a data pipeline.
Where data lives
Data pipeline
A copy lives in another system, under that system's controls.
Flash Zero-Copy
No copy. Data stays in your warehouse. Flash holds only a short-lived snapshot.
Freshness
Data pipeline
Hours to days — dependent on the sync schedule.
Flash Zero-Copy
Live — queried as you build a segment or personalize a message, not on a schedule.
Compliance burden
Data pipeline
Every copy has to be governed for privacy, access, and data-location rules.
Flash Zero-Copy
One source of truth. No extra copies to govern, audit, or delete.
Engineering effort
Data pipeline
Pipelines to maintain, data to re-sync, jobs to backfill.
Flash Zero-Copy
One connection to set up. No pipeline to operate.
What changes for the business
Your data team's models are in the warehouse. Your marketing team's campaigns are in Flash. Zero-copy closes the gap — without weeks of engineering work in between.
Live
warehouse data in segments — not yesterday's export
No pipelines
nothing to build, operate, or break
Audited
every query access-limited, spend-capped, and logged
Query your warehouse in place — no pipeline, no copy.
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