The Amazon Redshift Connector
Archive Amazon Redshift analytic datasets to cost-optimized Lakehouse storage. Stop paying Redshift node costs for data you must retain but no longer actively query.
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Amazon Redshift Archiving for Compliance Retention and Cost Reduction
Archon’s Amazon Redshift Connector extracts tables, schemas, and historical analytic datasets from Redshift provisioned clusters and Redshift Serverless and archives them into open Parquet/Delta Lake format on S3-based Lakehouse. Built for data engineering and compliance teams managing multi-year retention obligations on Redshift without incurring ongoing node or compute costs.
Redshift’s automated snapshots are retained for a maximum of 35 days. For regulatory obligations spanning years, Archon provides a separate, immutable compliance archive layer, queryable via Athena, Spark, or Archon Analyzer, without requiring Redshift compute to access it.
- JDBC / Redshift Data API extraction for provisioned clusters and Serverless
- Tables, schemas, views, materialized views, and STL/STV access logs captured
- Redshift distribution style and sort key metadata preserved
- Cross-schema query via Archon Analyzer or Athena, no Redshift compute consumed
- SEC, FINRA, HIPAA, GDPR, and SOX retention policy support
Capabilities
Everything You Need for Amazon Redshift Data Operations
Beyond 35-Day Snapshot Retention
Redshift automated snapshots are retained for 35 days maximum. For SEC, FINRA, HIPAA, and SOX retention obligations spanning years, Archon provides a separate, WORM-immutable archive layer that satisfies regulators without Redshift compute.
Redshift Cluster Cost Optimization
Aged Redshift tables that remain in provisioned clusters at full node cost, but are queried rarely, are candidates for Archon archiving. Offload to S3 Lakehouse Parquet at a fraction of Redshift RA3 node pricing while maintaining queryability.
Cluster Consolidation and Decommissioning
Organizations consolidating Redshift clusters post-merger or migrating to Snowflake use Archon to archive historical datasets before cluster decommissioning, preserving the full data history without the cluster costs.
Audit Trail and Access Log Preservation
Redshift STL and STV query logs, user connection records, and COPY/UNLOAD audit records are archived with full temporal integrity, satisfying SOC 2 Type II and security audit requirements.
Use Cases
How Enterprises Use the Amazon Redshift Connector
01 Financial Services Regulatory Reporting Retention
Banking and financial services organizations with Redshift-based regulatory reporting warehouses satisfy SEC, FINRA, and Basel III multi-year retention mandates through Archon's permanent Lakehouse archive, without ongoing Redshift node costs.
02 Redshift Cluster Cost Reduction
Large Redshift deployments accumulate cold tables that inflate node costs without active query value. Archon offloads those tables to S3 Lakehouse at a fraction of provisioned cluster pricing with no loss of query access via Athena or Archon Analyzer.
03 Cluster Consolidation Post-Merger
Post-acquisition Redshift cluster consolidations require complete schema and data history archived before source clusters are decommissioned. Archon extracts the full data and delivers a unified Lakehouse archive.
04 Analytics Continuity on Archived Data
Data science and analytics teams maintaining access to historical Redshift datasets query archived data via Athena, Databricks, or Archon Analyzer, without Redshift compute spend or cluster reactivation.
Technical Specifications
| Specification | Details |
|---|---|
| Connection Method | JDBC (Redshift JDBC driver) / Redshift Data API / UNLOAD to S3 |
| Supported Versions | Redshift Provisioned (all node types), Redshift Serverless |
| Data Scope | Tables, schemas, views, materialized views, STL/STV logs, COPY/UNLOAD audit records |
| Output Format | Parquet, Delta Lake, Avro, CSV, TSV |
| Metadata Handling | Distribution style, sort keys, column encodings, schema structure |
| Transformation Rules | 1,000+ built-in; Redshift-specific data type normalization supported |
| Retention Management | SEC 17a-4, FINRA 4511, HIPAA, GDPR, SOX retention schedules |
| Legal Hold | Cluster, schema, and table-level hold orchestration with audit trail |
| Deployment | AWS (S3 Lakehouse) · On-premises · Multi-cloud |
| Security & Compliance | TLS 1.3 in transit · AES-256 at rest · WORM |
How It Works
Up and Running in 4 Steps
01
Connect to Redshift
Authenticate via JDBC or Redshift Data API to provisioned clusters or Redshift Serverless. Archon auto-discovers all databases, schemas, tables, views, and STL/STV log structures. 02
Map & Configure
Define schema and table scope, distribution style and sort key handling, access log capture strategy, and regulatory retention schedules. 03
Validate & Preview
Run a dry-run against sample Redshift schemas. Quality report flags distribution anomalies, data type normalization issues, and STL log extraction gaps. 04
Archive & Monitor
Execute full extraction to S3 Lakehouse via UNLOAD or JDBC. Data queryable via Athena or Archon Analyzer without Redshift compute.FAQ
Common Questions About the Amazon Redshift Connector
- 1. Does Archon satisfy compliance retention requirements that Redshift snapshots cannot?
Yes. Redshift snapshots max out at 35 days. Archon provides permanent, WORM-immutable archiving satisfying SEC, FINRA, HIPAA, and SOX retention mandates spanning years.
- 2. Can Archon use Redshift UNLOAD for high-throughput extraction?
Yes. Archon supports UNLOAD to S3 for high-throughput bulk extraction, maximizing bandwidth while minimizing Redshift compute consumption during extraction.
- 3. Does Archon archive Redshift STL and STV system log tables?
Yes. Archon extracts Redshift STL query logs, STV lock wait records, and connection logs, preserving the full access audit trail for security and compliance.
- 4. Is archived Redshift data queryable via Amazon Athena without Redshift compute?
Yes. Archon archives to open Parquet on S3, directly queryable via Athena using standard SQL without any Redshift cluster or Serverless costs.
- 5. Does Archon support Redshift data sharing archiving across accounts?
Yes. Archon can extract from Redshift data share consumer databases, archiving shared data with full metadata linkage to the producer database schema.
Ready to archive your Amazon Redshift data and retire the dependency?
Talk to an Archon connector specialist at archondatastore.com. Free consultation, no commitment, reply within 24 hours.
