The DynamoDB GUI with real SQL — joins, GROUP BY & aggregates, PartiQL, plus an AI agent on your own AWS. Local-first for Mac, Windows & Linux.dynotable.comJoined July 2026
@martinhicks Scoring against the best-matching region instead of a pinned one is the fix that should’ve been obvious in hindsight and wasn’t. Nice work.
The “us-east-1 is not just another region” section deserves more attention than it gets. People pick a region for latency and never look at where the control planes actually live.
One thing worth adding to the checklist: know which of your tables are Global Tables and which just look like they are. Wrote up the replication model and the last-writer-wins behavior here if useful: dynotable.com/learn/dynamodb…
Because the modeling isn’t the hard part, the guessing is. You have to predict access patterns before you know your product. Bad ask for anything early stage.
Start with a simple PK/SK, add GSIs when a real query forces you. Premature single-table design has burned more people than it’s saved: dynotable.com/learn/when-not…
Do you know one DynamoDB partition key can hold a whole sorted collection? Add a sort key and related items live together, ordered, readable in a single Query. dynotable.com/learn/dynamodb…
The 24h Streams retention point is underrated. Pipeline breaks Friday night, you find out Monday, full rebuild.
Worth checking first though: is the ask actually real-time, or is it “let me query this thing without writing expressions by hand”? dynotable.com is SQL over the table directly. Still Query and Scan underneath, just no pipeline to babysit.
Fair stack. KV for the app, cache in front, columnar for analytics. Covers a huge amount.
Then someone asks for “users who did X then Y within 7 days, ranked by a friend’s score,” and you’re doing graph traversals and multi-way joins across three stores you’re now keeping in sync by hand.
The three-store setup is great until the thing you’re building is the relationships between the data, not the data.
An MCP server holding AWS credentials is a different problem than a toy stdio server. Safe meant OAuth inside a desktop app, scoped consent, a region pinned at approval. dynotable.com/blog/building-…
@amritwt The pricing model is the difference. A hosted Postgres bills for the instance whether you use it or not. DynamoDB on-demand bills per request, so a low traffic app rounds to cents. The tradeoff: you commit to access patterns up front and ad hoc queries stop being free.
@ignaziodes There is a query that settles it: sum ConsumedReadCapacityUnits and ConsumedWriteCapacityUnits over 30 days in CloudWatch, divide by what is provisioned. Tables everyone swears are steady usually idle nights and weekends. The metric ends the meeting.
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