The PostgreSQL Connector
Archive PostgreSQL schemas, tables, and historical data at the point of application decommission, version migration, or compliance mandate. Open format. No runtime required post-archive.
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PostgreSQL Data Archiving, Done Right
Archon’s PostgreSQL Connector extracts tables, schemas, sequences, materialized views, audit tables, and historical snapshots from PostgreSQL 9.x through 16.x and archives them into open Parquet/Delta Lake format. Built for engineering and compliance teams retiring PostgreSQL-backed applications, migrating to cloud-managed databases, or satisfying multi-year data retention mandates.
PostgreSQL is the backbone of thousands of enterprise applications. When those applications are retired, upgraded, or migrated, the database history doesn’t disappear from your compliance obligations. Archon extracts and immutably preserves that data; schema structure, relational integrity, and all so you can decommission the server without decommissioning your regulatory defensibility.
- JDBC extraction from PostgreSQL 9.6 through 16
- Tables, schemas, views, materialized views, sequences, and audit logs captured
- WAL-derived change history and audit table records preserved
- Cross-schema query via Archon Analyzer, no PostgreSQL runtime post-archive
- GDPR, HIPAA, SOX, and PCI DSS retention policy support
Capabilities
Everything You Need for PostgreSQL Data Operations
Full Schema and Relational Data Extraction
Archon extracts PostgreSQL tables, views, materialized views, sequences, and schema structure, preserving relational integrity, foreign key relationships, and column-level constraints. No pg_dump wrappers or custom extraction scripts required.
WAL and Audit Table Change History
WAL-derived change records and application audit tables are extracted and archived with full temporal integrity, providing a complete field-level change history for compliance audits and eDiscovery requirements.
Version Migration Historical Data Preservation
PostgreSQL version upgrades (9.6 to 16, for example) use Archon to archive inactive historical data from the source version before migration, reducing migration scope and satisfying compliance retention independently.
Cloud Migration Data Offloading
Organizations migrating to Aurora PostgreSQL, Cloud SQL for PostgreSQL, or Azure Database for PostgreSQL use Archon to offload historical tables to Lakehouse before cutover, reducing destination database sizing and cost.
Use Cases
How Enterprises Use the PostgreSQL Connector
01 Application Retirement
PostgreSQL-backed applications at end-of-life are decommissioned after Archon archives the underlying database, including schema structure, audit tables, and historical transaction records. The archive is permanently accessible without any PostgreSQL runtime.
02 Version Migration
PostgreSQL 9.6, 10, and 11 have reached end-of-life. Organizations upgrading to current releases use Archon to archive historical data from the source version before migration, ensuring compliance retention independently of the migration path.
03 Cloud Migration Historical Data Offload
Active PostgreSQL workloads migrating to Aurora or Cloud SQL use Archon to offload inactive historical tables to Lakehouse before cutover, reducing migration data volume and destination database compute sizing.
04 GDPR and HIPAA Compliance Retention
Consumer-facing and healthcare applications running on PostgreSQL satisfy GDPR Article 5 and HIPAA §164.530(j) retention mandates through Archon's WORM-immutable archive, with PII controls applied at the point of ingestion.
Technical Specifications
| Specification | Details |
|---|---|
| Connection Method | JDBC (PostgreSQL JDBC driver) |
| Supported Versions | PostgreSQL 9.6, 10, 11, 12, 13, 14, 15, 16 |
| Data Scope | Tables, schemas, views, materialized views, sequences, audit logs, WAL-derived records |
| Output Format | Parquet, Delta Lake, Avro, XML, CSV, TXT, TSV, Excel |
| Metadata Handling | Schema structure, constraints, indexes, foreign keys, column definitions |
| Transformation Rules | 1,000+ built-in; schema normalization supported |
| Retention Management | GDPR, HIPAA, SOX, PCI DSS retention schedules |
| Legal Hold | Schema and table-level hold orchestration with audit trail |
| Deployment | On-premises · Cloud (AWS, Azure, GCP) · Hybrid |
| Security & Compliance | TLS 1.3 in transit · AES-256 at rest · WORM |
How It Works
Up and Running in 4 Steps
01
Connect to PostgreSQL
Authenticate via JDBC to PostgreSQL 9.6 through 16. Archon auto-discovers all databases, schemas, tables, views, materialized views, sequences, and audit tables. 02
Map & Configure
Define schema and table scope, WAL and audit table capture strategy, and jurisdiction-specific retention schedules. Configure PII masking for GDPR compliance. 03
Validate & Preview
Run a dry-run against sample PostgreSQL schemas. Quality report flags null primary keys, broken foreign key references, and materialized view refresh anomalies. 04
Archive & Monitor
Execute full extraction. Trusted timestamps applied per table and per row. Data searchable via Archon Analyzer immediately on ingestion.FAQ
Common Questions About the PostgreSQL Connector
- 1. Does Archon support PostgreSQL versions that have reached end-of-life?
Yes. Archon extracts from PostgreSQL 9.6 through 16 including EOL versions. Archiving that data is the mechanism for safely retiring those instances.
- 2. Can Archon archive PostgreSQL without pg_dump or DBA intervention?
Yes. Archon uses direct JDBC extraction with configurable parallelism: no pg_dump, no custom scripts, and no DBA involvement required.
- 3. How does Archon handle PostgreSQL materialized views?
Archon captures materialized view definitions and their current data state at the time of extraction. preserving both the query definition and the data snapshot in the archive.
- 4. Does Archon preserve PostgreSQL foreign key relationships in the archive?
Yes. Archon captures foreign key constraint metadata and preserves relational context in the archive, enabling cross-table queries that respect the original data relationships.
- 5. Can Archon archive PostgreSQL audit tables with temporal data (bitemporal or slowly changing dimensions)?
Yes. Archon handles temporal table patterns and slowly changing dimension structures, preserving the full historical state including validity period columns.
Ready to archive your PostgreSQL data and retire the dependency?
Talk to an Archon connector specialist at archondatastore.com. Free consultation, no commitment, reply within 24 hours.
