PostgreSQL Change Data Capture (CDC): Real-Time Replication with Logical Decoding

Set up PostgreSQL CDC with logical decoding - replication slots, WAL, and the failure modes that break change data capture in production.

How to verify a database migration before cutover

A database migration can complete successfully while the actual values are wrong. Here’s how to compare MySQL and PostgreSQL directly before cutover.

What a good database MCP server gets right

Wrapping a few queries as MCP tools is the easy weekend part. What makes a database MCP server safe to point at real data is everything around the tools: read-only by default, narrow tools, per-request scoping, and bounded results.

Database Explorer: From Schema Browser to Full Data Workspace

Database Explorer in DBConvert Streams is a free workspace for browsing databases, files, S3 storage, SQL results, and editable data grids before and after migration or CDC.

Embedded DuckDB Starts Simple. Then It Needs a Process Boundary.

Embedding DuckDB inside an API process is simple until native execution shares the same failure domain. A federated query crash showed why DBConvert Streams is moving interactive DuckDB work behind a supervised query worker.

DuckDB Solved the Query Engine. The Workflow Around It Is Still Messy.

DuckDB made cross-source SQL practical. But once queries need credentials, schema inspection, exports, and repeat runs, the workflow around the query becomes the hard part.

MySQL CDC: Real-Time Replication with Binlog

Binlog setup is the easy part. What actually breaks MySQL CDC in production: the initial load, staying in sync during migration, and silent divergence.

Why database tools are split - and that's the real problem

Database tools didn’t evolve as one system. They split into IDEs for working with data and pipelines for moving it — and now every workflow lives between them.

DBConvert Streams 2.0 🎉

DBConvert Streams 2.0 combines a free database IDE, federated SQL across databases and files, and real-time CDC — no Kafka, no tool switching, no pipeline glue.

Why Every Database Tool Uses Hardcoded Schema Names (And Why That's Actually Good Engineering)

Why PostgreSQL tools hardcode schema names, why dynamic detection fails, and what we learned while building DBConvert Streams 2.0’s schema navigation engine.

How We Solved the Snowflake Parquet Timestamp Corruption Problem

Timestamps from Parquet files were showing up as year 37366 in Snowflake. Here’s how we diagnosed and solved this issue in DBConvert Streams using Arrow and proper Snowflake configuration.

AWS Database Migration Service vs DBConvert Streams: A Comprehensive Comparison

Compare AWS DMS and DBConvert Streams across performance, flexibility, pricing, and ease of use. Find out which tool fits your database migration and replication needs best—without vendor lock-in.