Combine files. Get analytics. No SQL required.

Parsebase makes it easy to upload structured files, combine them, and run powerful analytics without writing SQL. Find anomalies, fix data issues, save queries, and export polished reports as PDF.

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Combine files
Merge multiple datasets for cross-file analytics
No SQL required
Point and click to get insights
Private
Your data stays private and is never shared

Workspace

My Sales and Shipments

Datasets: 2

payments_stripe.csv - columns: id, amount, currency, created_at, customer_email

shipments_vendor.csv - columns: order_id, shipped_at, carrier, tracking_id

Merge on order id and run analytics such as revenue by shipment region or delayed shipments per carrier

Saved queries

Exports

PDF, CSV

Anomalies found

Features

Designed for teams that need fast, private, and friendly analytics without hiring engineers.

Combine multiple files

Upload datasets separately and join them for cross-file queries. No manual ETL required.

Get analytics without SQL

Point and click filters, groups, and aggregations. Build charts and reports using an intuitive UI.

Private by design

We keep your data private and do not share it with third parties. Per-team isolation and access controls ensure confidentiality.

Find and fix anomalies

Automatic anomaly detection highlights suspicious rows and suggests corrective actions that you can apply in place.

Export and share

Export raw data or analytics as CSV or PDF. Share exported reports with stakeholders.

Save queries

Save common queries and dashboards for quick reuse and scheduling.

How it works

1

Upload

Upload structured files such as CSV or JSON. Upload multiple files that represent different parts of your business.
2

Combine

Join datasets across files using common keys for cross-file analytics. For example, merge payments and shipments to analyze fulfillment and revenue together.
3

Analyze and export

Interactively filter, group, and visualize. Save queries, detect anomalies, fix data, and export analytics as PDF or raw data formats.

Use cases

Accountants

Upload payment CSVs from Stripe and bank exports, then merge them with invoices to reconcile accounts and quickly spot discrepancies.

Small and medium business owners

Received a payment CSV file from your payment processor and an order shipment file from your delivery vendor? Upload these files separately and then merge them to analyze revenue by shipment region, delivery delays, and customer refunds.

Analysts and operations

Run cross-file analytics, detect anomalies, visualize trends, and export repeatable reports for stakeholders without needing engineering support.

FAQ

Do you have a free plan?

We are launching with paid plans only. For early access details email early@parsebase.io.

Can I edit schema before ingestion?

No. We parse and infer types automatically. After ingestion you can transform and fix data within the workspace.

Is my data shared?

No. Your data is private and not shared with anyone. Access controls keep your datasets secure.

Get early access

Parsebase is coming soon. If you are interested in early access, email us at early@parsebase.io.

General: hello@parsebase.io