🚀 Snowflake Accelerator

If you're launching a new Snowflake project or data product, get and test the outcome faster with Reseed. Even if you have the resources and maturity to fully automate data pipelines, Reseed gives you a parallel path where business analysts and analytics engineers can iterate on data formats, transformations, dashboards, and reports while Data Engineers and Cloud Engineers build the automation infrastructure.

🧩 Data Gaps

Almost every business has at least one dataset that doesn't come from your enterprise systems. Sometimes referred to as "The Sheryl File" or "Mike's Spreadsheet", these files contain the real-world context that ties systems together or captures insights that never made it into an ERP or CRM, but are critical to your analytics or AI workflows. Reseed lets you capture and control these datasets in Snowflake.

🕸️ Data Mesh

Empower teams to own the data they create—without sacrificing quality, consistency, or governance. Reseed gives each domain the ability to publish and maintain its own Snowflake-ready datasets while ensuring organization-wide standards are automatically enforced.

Domains can upload and manage their source files, validate them against shared rules, and deliver clean, governed outputs into secure Snowflake locations. Central teams define the expectations; local teams handle the delivery; Reseed keeps everyone aligned.

The result is a practical, operational Data Mesh: distributed ownership with centralized visibility, consistent quality, and instant availability for analytics, apps, and downstream systems—all without building pipelines or maintaining infrastructure.

🔄 Reverse ETL

Deliver clean, governed data back to the people who need it. Push prepared files to secure, read-only stage locations where teams can browse, read, and download the latest approved datasets—without relying on email attachments or shared drives.

Perfect for distributing approved budgets, official contact lists, product offerings, internal service catalogs, or any reference data that must stay consistent across departments. With Reseed, everything is delivered inside Snowflake's secure perimeter, with fine-grained access controls ensuring only authorized users can access the datasets.

And because these files can be generated directly by your existing transformations running in Snowflake, they're always fresh and effortless to keep current—making Reverse ETL a simple extension of the pipelines you already maintain.

🛠️ Overrides and Exclusions

Sometimes data needs correction — fast.

Reseed empowers authorized users to safely supplement, override, or exclude specific records from your data sources, on the ad-hoc and unpredictable schedules that real-world operations demand.

Every change is validated, logged, and governed inside Snowflake, giving you agility without sacrificing control.

🧰 Pipeline Fallback

Even the most reliable pipelines experience interruptions. With Reseed, data engineers and analysts have a built-in safety valve: when an automated flow is delayed or fails, authorized users can manually upload the data and keep operations moving.

Reseed gives you more options, more control, less downtime, and less frantic troubleshooting.

🔐 Row-Level Security

Snowflake's row-level security often relies on lookup tables that map users or roles to an attribute such as branch, department, or region that they have access to. Managing these mappings typically requires writing INSERT, UPDATE, and DELETE SQL statements — work that demands precision but frequently interrupts engineers and administrators who could be focused on higher-impact initiatives.

With Reseed, system administrators can simply upload a validated seed file to refresh security mappings. Each update is controlled, auditable, and completed in seconds. No writing SQL to production systems, and you can even retain, review, rollback-to, and reuse prior versions.

💼 Distributed Spreadsheet Data Collection

(e.g., Budget Requests, Equipment Audits, Contact or Address Verification)

You don't need a new SaaS tool for every workflow. Reseed lets you collect data from departments or stakeholders using the tools they already know — like Excel or Google Sheets.

For example, in a budget request process, simply define a file structure such as Fiscal Year, Account, Request, and Justification, then invite staff to upload their files directly. Each participant only sees their own dataset, while administrators can view and manage all submissions.

No email attachments. No extra subscriptions. No pipelines to maintain. The data is born in Snowflake — validated, organized, and ready for downstream workflows and analysis. If you're comparing approaches, you can also review the full Excel to Snowflake guide.

☁️ SaaS Data Exchange

When your SaaS product relies on customer-supplied data, implementation can slow to a crawl while teams exchange spreadsheets and fix formatting issues. Reseed eliminates that friction by providing secure, self-service access to a dedicated seed folder inside Snowflake — for your implementation team or even for customers directly.

Participants upload and validate their datasets instantly with automatic schema checks and full audit visibility. No email attachments, no version confusion, no rework loops. What once took days now happens in seconds.

🐸 Tech Leapfrog

Not every organization needs a full cloud or data engineering team to benefit from Snowflake and start their analytics and AI journey. Reseed lets small businesses and lean data teams leapfrog traditional cloud setup and get straight to loading data and seeing results.

Keep the tools your staff already know — spreadsheets — while Reseed handles validation, structure, and loading behind the scenes in Snowflake. Analytics and AI without the infrastructure.