Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
Most engineering teams spend nearly half their time maintaining brittle data pipelines instead of building products, and poor data quality costs the average enterprise millions per year. Darede Data Platform (DDP) solves this by giving companies a managed, serverless data lakehouse that ingests data from transactional databases, NoSQL stores, and APIs, and turns it into governed, analytics-ready data for BI dashboards and AI agents.
DDP is built on a medallion architecture (Bronze, Silver, Gold) that separates raw ingestion, validated and cleaned data, and curated data ready for consumption. It supports full, incremental, CDC and sequence-based extraction, native handling of deletes, complete historization with SCD Type 1 and 2, centralized metadata, and automatic schema evolution — capabilities that go well beyond simple replication tools. End-to-end observability, tracing, and data quality checks (validation, deduplication, consistency) run across all three layers, alongside enterprise-grade security including encryption, masking, IAM-based access control, and AWS Lake Formation governance. The platform is 100% serverless and elastic, scaling from a single-table proof of concept to dozens of enterprise data sources under the same operating model, with no fixed infrastructure cost. Darede's team delivers the implementation through a structured journey — source mapping, infrastructure provisioning via Terraform, onboarding of the first tables, assisted go-live, and ongoing expansion to new sources without re-architecting.
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This offering relates to AWS services including Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, Amazon DynamoDB, AWS Lake Formation, and AWS Identity and Access Management (IAM).
Highlights
Highlighted by the publisher on AWS Marketplace.
Turn fragmented data into decision-ready assets: connect transactional databases, NoSQL stores, and APIs into a single governed data lakehouse, without the multi-year platform build.
Free your data engineers from pipeline maintenance so they can focus on analytics and AI: DDP automates ingestion, transformation, and data quality checks that otherwise consume a large share of engineering time.
Scale cost predictably as your data footprint grows: a 100% serverless architecture with no fixed infrastructure cost means proof-of-concept and enterprise workloads run on the same model, at a cost that tracks actual usage.
Agent build and provenance
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