Load data into Amazon Redshift in minutes

Source
Destination
Renta ELT - managed data loading into Amazon Redshift. No data engineer, no custom scripts, no missed rows.

Amazon Redshift is AWS's fully managed cloud data warehouse for SQL analytics across large datasets.

Renta turns Redshift into a reliable analytical layer by automatically pulling data from 100+ sources - ad platforms, CRMs, databases and SaaS tools - normalizing the schema and writing ready-to-query tables.

Marketing, product, finance and data teams can focus on dashboards, attribution models and revenue analysis instead of maintaining fragile ETL scripts.

Start loading data into Redshift in 3 steps

Pick any connector - ad platforms, CRMs, databases, SaaS - and authorize the account in a couple of clicks. No code, no servers to maintain.

Connecting a data source in Renta for loading into Amazon Redshift.
1Connect a source

Pick any connector - ad platforms, CRMs, databases, SaaS - and authorize the account in a couple of clicks. No code, no servers to maintain.

Connecting a data source in Renta for loading into Amazon Redshift.
2Choose Amazon Redshift
3Configure and sync
Amazon Redshift loading capabilities

Renta replicates data into Redshift with production-grade reliability - typed, normalized and backed by a 99.9% SLA.

Incremental sync

After the initial historical backfill Renta only writes new and changed records to Redshift. This reduces warehouse load, refresh latency and the amount of data processed on each run.

Automatic schema

Renta creates tables, assigns Redshift-compatible column types and tracks schema changes on the source side. When a new field appears in an API, a column is added without breaking the pipeline.

Typing and normalization

Data types from every source are normalized to a single consistent format. Cross-source JOINs work without manual CAST or JSON parsing.

Upsert and deduplication

Renta uses source keys and update timestamps to prevent duplicates in Redshift. Records are updated by primary key, deletes are soft-flagged and retroactive changes are applied correctly.

Use cases

What teams build on top of Redshift data

  • Join ad platform, CRM and billing data in Redshift to calculate CAC, LTV, ROMI and payback by channel
  • Build executive reporting in Amazon QuickSight, Power BI or Tableau directly on top of fresh Redshift tables
  • Feed dbt models and data marts with clean source replicas maintained by Renta
  • Connect product, subscription and revenue data to understand retention, expansion and churn by cohort
  • Centralize marketing spend, pipeline and closed-won revenue for reliable attribution and forecasting
  • Run freshness checks and operational alerts on top of Redshift tables that Renta updates as often as every 15 minutes
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Amazon Redshift use cases powered by Renta data
Frequently asked questions
Launch analytics on Amazon Redshift today

Free for 7 days. No credit card required.

Automated data collection. 99.9% SLA.