Connector Database / DynamoDB
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your DynamoDB data with AI-powered assistant.
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Generate automated reports and business intelligence insights from your DynamoDB data—as fast as you can ask them.
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Unify your DynamoDB data with DuckDB-powered data warehouse including Google Sheets, S3, Google Analytics and Attio.
Extracts items and metadata from your AWS DynamoDB tables. It auto-discovers tables, can scan full tables, and optionally captures ongoing inserts, updates, and deletes via DynamoDB Streams. This enables analysis of operational NoSQL datasets, building CDC-driven pipelines, and creating historical views from change events.
Represents a DynamoDB table and its structure, including key schema, item counts, and stream configuration; enables dataset inventory, growth tracking, and modeling partition/primary keys for analytics.
Represents individual records stored in DynamoDB tables; supports building analytical datasets, data profiling, and computing business KPIs from operational data.
Captures row-level changes (INSERT, MODIFY, REMOVE) via DynamoDB Streams; enables CDC pipelines, near-real-time reporting, change volume trends, and historical reconstruction of data.
Authenticates by assuming an IAM role in your AWS account (AWS STS AssumeRole) using your account ID, role name, and an External ID; optionally via a proxy role.
Connect to DynamoDB 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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