About Endrias Bridge — Enterprise Database Migration

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What is Endrias Bridge?

Endrias Bridge is a production-grade database migration tool built for database engineers and cloud architects. It automates the end-to-end migration process — from schema conversion and data transfer to CDC-based live replication and post-migration validation — across heterogeneous database platforms and cloud environments.

Unlike SaaS migration services that require uploading credentials to a third-party cloud, Endrias Bridge runs entirely on your own infrastructure. Data never leaves your environment. The tool works on-premises, on any cloud VM, or as a Docker container — fully air-gap capable, no internet required to run.

Microsoft SQL Server Azure SQL Database Azure SQL Managed Instance AWS RDS for SQL Server PostgreSQL MySQL / MariaDB Oracle Database MongoDB DynamoDB Snowflake Google BigQuery SQLite

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Core Capabilities

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Three Sync Modes

Full copy, watermark incremental, and SQL Server CDC streaming with <1 second change latency. Auto-selected per table based on schema.

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Checkpoint Resume

Per-table row-level checkpoint persisted to disk. Resume any interrupted migration from the exact last committed PK — no re-running completed tables.

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Schema Conversion

Automatic type mapping across engines. Handles temporal tables, computed columns, identity columns, FK cycles, self-referential FKs, and schema drift detection.

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Pre-Flight Validation

3-step connectivity check before any data moves. Configuration Health Check with 8 automated verifications — connection, permissions, CDC, disk, ODBC, bcp.exe.

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Migration Reports

Per-run HTML report with row counts, index rebuild status, schema object coverage, timing, and post-migration comparison results.

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Live Replication Tab

CDC stream and scheduled watermark sync with per-table dashboards, LSN tracking, drift detection, and sync history.

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HA & Multi-AZ

Connects to Always On AG listeners, RDS Multi-AZ endpoints, Azure Failover Group listeners, and Azure SQL Geo-Replication — no special config needed.

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BACPAC Seed

SqlPackage-based BACPAC export/import for RDS. BCP acceleration for large tables. FK chain ordering, CDC catch-up after import.

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What Problems It Solves

Cross-platform migrations between heterogeneous database engines

Cloud modernization and lift-and-shift to AWS RDS, Azure SQL, or GCP

Near-zero-downtime cutovers using CDC streaming

Data center consolidation across different SQL platforms

Migration assessment and compatibility analysis before any data moves

Resuming failed or interrupted migrations without re-running from scratch

Schema drift detection during live CDC replication

Billion-row and TB-scale table migration with parallel workers and BCP

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How It Was Built

Every feature in Endrias Bridge was driven by a real problem encountered in production database migrations. The architecture was designed from the start to handle the edge cases that cause migration projects to fail: FK cycles, temporal tables, schema drift, large LOB columns, identity column seeding, and network interruptions.

Core Migration Engine

PK-range chunking strategy, FK cycle detection via BFS, index disable/rebuild orchestration, and per-table checkpoint resume. Supports SQL Server, PostgreSQL, MySQL, Azure SQL, and AWS RDS.

Schema Conversion Layer

Type mapping engine covering 200+ cross-engine type pairs. Handles temporal tables, computed columns, sysname, BIGINT overflow detection, and CREATE OR ALTER for idempotent runs.

CDC Streaming

250ms LSN poll of sys.fn_cdc_get_max_lsn() — near-zero idle CPU. Net-change application with schema drift detection every 20 cycles. Watermark fallback for non-CDC sources.

BACPAC Seed for RDS

SqlPackage export/import pipeline with BCP acceleration, FK chain ordering, stale-file retry, CDC catch-up after import, and Import Only mode for pre-staged files.

v1.2.0 — Public Release

Windows installer, Docker support, trial license system, Read Replica Manager, full documentation suite, and configuration health check. Published to GitHub.

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Product Roadmap

Endrias Bridge is actively developed. The roadmap is driven by real migration use cases. Upcoming releases expand cloud target support, add Zero-ETL pathways, and deepen HA and DR integration.

Feature	Category	Status
Core migration engine — SQL Server, PostgreSQL, MySQL, Azure SQL, AWS RDS	Engine	Shipped v1.2.0
CDC streaming replication tab with per-table dashboard	Replication	Shipped v1.2.0
BACPAC Seed + BCP acceleration for RDS	RDS	Shipped v1.2.0
Read Replica Manager — AWS RDS + Azure SQL	HA / DR	Shipped v1.2.0
Configuration Health Check (8 automated verifications)	Diagnostics	Shipped v1.2.0
RDS SQL Server Read Replicas & Disaster Recovery failover	HA / DR	Shipped v1.2.1
Azure SQL Managed Instance — Auto-Failover Groups & replica UI	Cloud	Shipped v1.2.1
Google Cloud SQL (PostgreSQL, MySQL) & AlloyDB source/target	Cloud	Shipped v1.2.1
Analytical Health Dashboard — Grafana-style KPI cards, sparklines, activity log	Monitoring	Shipped v1.2.1
CDC Event Viewer — real-time INSERT/UPDATE/DELETE capture per table	Replication	Shipped v1.2.1
Load Window selector (1/5/14/30 days) for large DB incremental migration	Migration	Shipped v1.2.1
GitHub Actions CI/CD — auto-build exe + GitHub Release on tag push	DevOps	Shipped v1.2.1
NoSQL targets: Redis, MongoDB, Cassandra, Elasticsearch, Snowflake	NoSQL	Shipped v1.2.1
S3 Data Lakes — export to Parquet / CSV / JSON	Data Lake	Shipped v1.3.0
Amazon Redshift replication	Analytics	Shipped v1.3.0
Azure Event Hubs streaming sink (CDC JSON events)	Streaming	Shipped v1.3.0
Azure Storage Account export (Parquet / CSV / JSON)	Cloud	Shipped v1.3.0
Zero-ETL: Snowflake, Google BigQuery, Aurora PostgreSQL	Zero-ETL	Shipped v1.3.0
AI-assisted schema compatibility analysis (Claude Haiku)	Intelligence	Shipped v1.3.0

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Mission

To help organizations migrate data faster, safer, and smarter — reducing complexity and accelerating digital transformation.

Endrias Bridge will continue expanding to support modern cloud architectures, automation, AI-assisted migration analysis, and next-generation database modernization strategies. Built by SQL Engineers, for DBAs — with production environments and enterprise scale in mind.