DynamoDB Query Tool: Browser-Based DynamoDB Client
Last updated May 19, 2026 · By the SaturnSQL team
PartiQL, not full SQL
DynamoDB queries use PartiQL, AWS's SQL-compatible query language. It looks like SQL (SELECT, INSERT, UPDATE, DELETE) but cannot do joins across tables and has limits compared to a relational database. SaturnSQL passes PartiQL through to DynamoDB so the same rules apply.
SaturnSQL is a browser-based DynamoDB query tool for teams that want to write PartiQL against DynamoDB tables, share useful queries across the team, and schedule exports to Google Sheets. The AWS Console covers ad-hoc work for individuals, and Dynobase or NoSQL Workbench cover desktop power-user workflows. SaturnSQL is the team layer that none of those provide.
Working with relational databases too? See our editors for PostgreSQL, MySQL, SQL Server, and Redshift.
Why use SaturnSQL for DynamoDB
DynamoDB tooling has historically been a mix of the AWS Console (decent for ad-hoc, awkward for repeated workflows), the official NoSQL Workbench (a free desktop modeling tool, not really a daily query editor), and Dynobase (a polished paid desktop GUI for power users). None of those are particularly team-friendly, and none let you schedule a PartiQL query and have results land in a Google Sheet on Monday morning.
SaturnSQL fills the team and scheduling gap. Connect a DynamoDB account once with an IAM access key scoped to the tables you want to expose, share that connection with the team behind role-based access, and start writing PartiQL queries in a browser-based editor. Save the ones that matter to a shared library so the rest of the team is not rewriting the same scans every week.
Be aware of the language boundary: PartiQL is SQL-compatible, not full SQL. It supports SELECT, INSERT, UPDATE, and DELETE with familiar syntax, but joins across tables are not supported and some patterns still require native DynamoDB API calls (which SaturnSQL does not expose). If your DynamoDB workloads rely on Query and Scan with detailed conditions, PartiQL maps cleanly. If you were planning to join Users and Orders in a single query, that is a DynamoDB limitation, not a SaturnSQL one.
What you get
- ✓ Browser-based DynamoDB editor that runs PartiQL
- ✓ Shared query library across the team
- ✓ Scheduled queries to Google Sheets, including weekly summaries and daily exports
- ✓ CSV and Excel export for ad-hoc results
- ✓ Encrypted IAM credentials at rest
- ✓ Role-based access for analysts, engineers, and read-only stakeholders
- ✓ Multiple result tabs and query history
- ✓ Works with single-table-design and traditional table layouts
On the Pro plan (Coming Soon) an AI assistant drafts and explains PartiQL queries against your tables, including reminding you when a query would trigger an expensive scan. Pricing: €19/user/month on Starter, €29/user/month on Pro.
Comparison with AWS Console, NoSQL Workbench, and Dynobase
AWS Console DynamoDB explorer is the official browser-based option. Free, integrated with IAM and the rest of AWS, includes a PartiQL editor and item-level visual editor. Best for ad-hoc work by AWS Console users. Trade-offs: access is tied entirely to IAM, no shared query library across users, no scheduling, no Google Sheets export.
NoSQL Workbench is Amazon's free desktop tool focused on data modeling, schema visualization, and access pattern design. It can run operations against DynamoDB tables but is not really a daily query editor. Best for engineers designing or auditing DynamoDB table structures.
Dynobase is a paid native desktop GUI with deep features: profile switching, IAM helpers, bulk operations, visual table builders, and global secondary index management. Strong fit for solo power users who live in DynamoDB. Pricing starts around $19/month per user, desktop-only, no team-shared library or scheduling.
Pick SaturnSQL if you want a browser-based DynamoDB tool with shared PartiQL queries and scheduled Google Sheets exports. Pick AWS Console for free ad-hoc work by individuals. Pick NoSQL Workbench for data modeling. Pick Dynobase for solo power-user desktop workflows.
Setup overview
Sign up, create a DynamoDB connection, paste your AWS access key ID, secret access key, and region. For tighter security, create a dedicated IAM user or role with read-only access scoped to the specific tables you want to expose to SaturnSQL. Test the connection. The full walkthrough including IAM policy templates is in Connecting a database.
Use cases
Mobile and serverless backend ops. Many mobile and serverless backends run on DynamoDB. Engineering and support teams use a shared library of PartiQL queries to debug individual users, look up tenant state, and export activity logs without each engineer needing their own IAM key.
Daily session and event summaries. Schedule a daily PartiQL query against a DynamoDB events table and push aggregated counts to a Google Sheet, replacing a brittle Lambda + S3 + Sheets pipeline.
Single-table-design audits. Teams that adopted single-table design use SaturnSQL's shared library to keep "blessed" access-pattern queries documented and runnable by anyone, not just the engineer who designed the table.
Support escalation queries. Customer support runs read-only PartiQL queries through SaturnSQL (with role-based access) to find user records, check feature flags, or audit recent activity, without escalating every ticket to engineering.
Frequently asked questions
Can you query DynamoDB with SQL?
Not quite. DynamoDB supports PartiQL, AWS's SQL-compatible query language for both relational and NoSQL data. PartiQL covers SELECT, INSERT, UPDATE, and DELETE with familiar SQL syntax, but it is not full SQL. Joins across tables are not supported and some operations still require native DynamoDB API calls. SaturnSQL runs PartiQL queries against DynamoDB tables from the browser.
What is the best DynamoDB GUI?
The AWS Console has a built-in DynamoDB explorer with a PartiQL editor. NoSQL Workbench is Amazon's free desktop modeling tool. Dynobase is a paid desktop GUI focused on power-user features. SaturnSQL is a browser-based tool that lets teams share PartiQL queries, schedule them, and push results to Google Sheets, which the others do not do.
How does SaturnSQL compare to Dynobase?
Dynobase is a paid native desktop app for DynamoDB with deep features like profile switching, IAM helpers, and visual table builders. SaturnSQL is browser-based and team-focused: shared PartiQL query library, scheduled exports to Google Sheets, role-based access. Pick Dynobase for solo power-user workflows, SaturnSQL for team query sharing and scheduling.
Can SaturnSQL schedule DynamoDB exports to Google Sheets?
Yes. Write a PartiQL query, pick a destination Google Sheet, set a daily, weekly, or cron schedule, and results flow into the Sheet automatically. This is one of the more painful workflows to replicate elsewhere: there is no built-in DynamoDB to Sheets path in AWS, so teams typically write Lambda functions to do it.
What are the limitations of PartiQL on DynamoDB?
PartiQL on DynamoDB does not support joins between tables, and complex aggregations or subqueries are limited. Scans without partition key filters are still expensive (you pay for the data scanned), so the underlying DynamoDB pricing model still applies. SaturnSQL passes PartiQL through to DynamoDB, so any limit on the AWS side is also a limit in SaturnSQL.
Is there a free DynamoDB query tool?
Yes. The AWS Console DynamoDB explorer and PartiQL editor are free. NoSQL Workbench is a free desktop modeling tool from Amazon. SaturnSQL has a free tier with one connection, one saved query, and CSV export. For team-shared PartiQL queries and scheduled Sheets exports, SaturnSQL's paid plans start at €19/user/month.
Run PartiQL on DynamoDB from your browser