Why PostgreSQL CDC Breaks in Production
PostgreSQL CDC doesn’t fail because of WAL. It fails because of gaps between snapshot, checkpoints, and ordering. Real failure modes and what actually works in production.
PostgreSQL CDC doesn’t fail because of WAL. It fails because of gaps between snapshot, checkpoints, and ordering. Real failure modes and what actually works in production.
A database backup is usually made for recovery. Sometimes you only need to know what is inside it.
You can inspect an Access .mdb or .accdb file in a browser on Mac, Linux or Windows. What a viewer shows, and when you still need Access.
Three ways in, one rule underneath: Snowflake ingestion appends. How COPY INTO, Snowpipe and Snowpipe Streaming work today, and what it takes to keep a table current from MySQL or PostgreSQL.
Two real business questions typed in plain English against a live MySQL database in DBConvert Streams — and the five-table joins text-to-SQL wrote to answer them. What it got right, and the decision it made without telling me.
Some dialect differences fail loudly. The dangerous ones return different numbers with no error. Real error messages, a live verified example, and the AI loop that proves a translation.
Pasting schemas into ChatGPT works for one-off queries. For real database work, connect the AI read-only to your database via MCP or in-app AI Chat.
Set up PostgreSQL CDC with logical decoding - replication slots, WAL, and the failure modes that break change data capture in production.
A database migration can complete successfully while the actual values are wrong. Here’s how to compare MySQL and PostgreSQL directly before cutover.
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 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.
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
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
Binlog setup is the easy part. What actually breaks MySQL CDC in production: the initial load, staying in sync during migration, and silent divergence.
data-engineering
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.
release
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.
postgresql
Why PostgreSQL tools hardcode schema names, why dynamic detection fails, and what we learned while building DBConvert Streams 2.0’s schema navigation engine.
snowflake
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.
database migration
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.
CDC
Change Data Capture (CDC) tracks modifications made to database information in real-time, ensuring data consistency across multiple systems. Unlike traditional replication methods that copy entire databases, CDC captures only incremental changes, making it more efficient and less disruptive.
deployment
Set up real-time database replication in minutes with DBConvert Streams. Combine CDC, bulk migration, and blazing-fast performance—no vendor lock-in.
dbconvert streams
A practical, no-BS guide to migrating schemas between MySQL and PostgreSQL—covering type mapping, constraints, foreign keys, comments, and all the messy real-world edge cases. Based on real migrations with DBConvert Streams.
etl
The 'T' in ETL didn't disappear — it just got better timing. Learn why cloud warehouses enabled ELT, when ETL still makes sense, and how DBConvert Streams gives you both patterns in one platform. Plus: see custom SQL transformations during migration in action.
dbconvert streams
Learn how to configure your database access properly for DBConvert Streams deployments — whether on localhost or in the cloud. This guide covers IP whitelisting, firewall rules, and server configuration.