Connector Database / SFTP
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your SFTP data with AI-powered assistant.
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Generate automated reports and business intelligence insights from your SFTP data—as fast as you can ask them.
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Unify your SFTP data with DuckDB-powered data warehouse including PostgreSQL, Salesforce and MySQL.
Extracts structured records from files on an SFTP server. You define one or more 'tables' by directory prefixes and filename regex patterns, and the integration streams rows from matching delimited files (e.g., CSV/TSV), adding source file and line metadata. It supports incremental sync using file modification time, custom delimiters/encodings, optional header sanitization and row skipping, and can decrypt GPG-encrypted exports and handle compressed files. This enables centralizing operational exports and file-delivered datasets for downstream analytics.
A logical dataset defined by an SFTP directory prefix and filename regex, representing a table to be loaded (e.g., orders, customers, events). Enables analysis of dataset freshness, volume trends, schema conformance, and downstream KPI modeling.
Authenticates to your SFTP server with a username and password or an SSH private key; optionally retrieves a GPG decryption key from AWS SSM Parameter Store to decrypt files
Connect to SFTP once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.
Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.
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I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.
Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.
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