Moving MySQL or PostgreSQL to Snowflake is easy. Trusting the result is the hard part. DBConvert Streams does the initial load + continuous CDC, then lets you compare source and target in the same app: row counts, data, and schema changes. dbconvert.com/snowflake/

Most database MCP servers stop at one connection. The useful questions don’t. Our standalone MCP can join PostgreSQL, MySQL, S3 and local CSV/JSON/Parquet in one read-only federated query. No staging import. Setup: streams.dbconvert.com/docs/mcp/sta...

Standalone MCP server | DBConvert Streams Docs

Run the DBConvert Streams MCP server on its own — from connection strings, with no DBConvert Streams installation behind it. Through npx, as a one-click Claude extension, or as a Docker image any MCP ...

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Migrating MySQL → PostgreSQL is two jobs. Tools move the data. Job two: every query in MySQL's dialect still needs rewriting. AI translates — old news. New: it proves the translation. One federated query, both live DBs, MATCH/DIFF per row. streams.dbconvert.com/blog/using-c...

MySQL vs PostgreSQL Syntax: AI Query Translation, Verified | DBConvert Streams

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.

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Row counts can match while migrated data is wrong. A 1¢ DECIMAL difference, timezone shift, or NULL conversion is enough. MySQL → PostgreSQL validation checklist: streams.dbconvert.com/blog/how-to-...

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.

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Change data capture in 40 seconds — one orders table open in MySQL and PostgreSQL side by side. Insert, update, delete on the source, each one appears on the target. Log-based CDC (binlog/WAL), no Kafka, no connectors, self-hosted. youtu.be/DIHYRll_sCU

Change Data Capture in 40 Seconds: MySQL → PostgreSQL

YouTube video by DBConvert

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A complete database migration should not end with “the job finished.” You should be able to verify: ✓ the generated target schema ✓ every converted column ✓ the source and target data side by side Here’s the full workflow in under 2 minutes: streams.dbconvert.com/data-migration

Migrating MySQL → PostgreSQL? Schema + data move clean. The work is the MySQL-isms: AUTO_INCREMENT, TINYINT(1)→boolean, unsigned ints, 0000-00-00 dates, ON DUPLICATE KEY→ON CONFLICT — plus stored procedures no tool converts. Honest breakdown 👇 dbconvert.com/blog/how-to-...

Migrate MySQL to PostgreSQL: Data Types & SQL Rewrites

A practical guide to moving MySQL to PostgreSQL: data-type mapping, copy-paste SQL rewrites (AUTO_INCREMENT, ENUM, unsigned, backticks), and low-downtime CDC cutover.

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Updated guide: Oracle → PostgreSQL migration. The clean split: schema and data can be automated, but SQL dialect, PL/SQL, views, validation, and cutover still need engineering work. No magic button, just the parts that actually matter. dbconvert.com/blog/how-to-...

Migrate Oracle to PostgreSQL: Data Types & SQL Rewrites

A practical guide to moving Oracle to PostgreSQL: data-type mapping, copy-paste SQL rewrites (ROWNUM, CONNECT BY, NVL), the PL/SQL reality, and cutover options.

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Wrapping queries as MCP tools is a weekend. Making a database MCP server safe for real data is the work: read-only by default, narrow tools, per-request scoping, bounded results. The tools are the easy part. The boundary is the product. #MCP #AI streams.dbconvert.com/blog/what-a-...

What a good database MCP server gets right

Connecting an AI assistant to a database over MCP is mechanically simple. Making it safe is not. Where the boundary lives, how much access you hand over, and what comes back - notes from building the ...

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"Show me the 5 most recent payments — anything look odd?" No SQL. Claude talks to a live PostgreSQL DB through DBConvert Streams MCP and catches a negative payment + a future-dated transaction on its own. Read-only by design. streams.dbconvert.com/mcp #MCP #PostgreSQL #MySQL

What is database synchronization? Updated our overview with clearer examples and diagrams for insert, update, delete, and mixed sync modes. dbconvert.com/blog/what-is...

What Is Database Synchronization? Database Sync Types

This article illustrated different database synchronization types. Insert, Update, Drop and Mixed Sync are described here.

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Before migration or CDC, there is usually a boring step nobody talks about: open the source, inspect tables, check DDL, preview files, run SQL, compare what exists. That inspection layer is what Data Explorer in DBConvert Streams is for. streams.dbconvert.com/blog/databas...

Database Explorer in DBConvert Streams

Browse databases, files, S3 storage, SQL results, and editable data grids in one free workspace.

streams.dbconvert.com

DuckDB made cross-source SQL feel simple. Postgres table + Parquet file + S3 path? Fine. The annoying part starts when the query needs to be repeated: - saved connections - credentials - schema checks - exports - validation - logs - reruns That is where "just a query" quietly becomes infrastructure.

Small DBConvert Streams 2.3.0 update: SQL Console results are now paged. Large SELECT / WITH queries no longer try to dump everything into the grid at once. Useful for DB browsing and federated SQL across PostgreSQL, MySQL, files, Parquet, or S3. streams.dbconvert.com/docs/databas... #SQL #DuckDB

Database migrations rarely fail because copying rows is hard. They fail around the boring edges: schema drift foreign keys snapshot boundaries CDC handoff retries checkpoint timing validation after the move The transfer is one part. The workflow around it is usually where the mess starts.