DynoTable

Query DynamoDB with real SQL and an AI agent that runs on your own AWS credentials, keeping all your data private.

A fast, local-first desktop client with visual joins, aggregations, and a query cost preview.

Best forDevelopers running SQL on DynamoDB securely

DifferentiatorLocal-first design with an AI agent that runs on your own AWS Bedrock keys.

ProofRuns real SQL with joins and aggregations; AI prompts and schema never leave your AWS boundary.

Try DynoTable

Free Plan Pro from$18/seat/mo

9.2 Zekai

Secure DynamoDB SQL GUI

AI for Software Development

Ease of Use

8.8

Accuracy

9.2

Value

9.4

Time Saving

9.5

Local-FirstBring-Your-Own-AISQL on NoSQLCost PreviewVisual Joins

📊 Independently tested and scored. How we score →

✍️ Reviewed by Zekai Editorial Team · Updated August 8, 2026

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Zekai Verdict

What is it?: DynoTable is a desktop client for software developers working with DynamoDB.
Best for: It's best for developers needing to run complex SQL queries, aggregations, and joins on DynamoDB tables while…
Not ideal for: Joins and aggregations are computed locally, which may strain machine resources on massive datasets.
Price: Free plan · paid from $18/seat/mo
Zekai Score: 9.2/10

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⚡ Quick answer

For software developers seeking the best AI for DynamoDB management, DynoTable is a leading choice. It provides an AI agent that runs on your private Amazon Bedrock keys, ensuring no data ever leaves your AWS account. This allows you to securely ask questions, draft queries, and get schema-aware suggestions without the data privacy risks of third-party services.

CategoryDynamoDB GUI

Best ForDevelopers running SQL on DynamoDB securely

Price From$9/mo

FreeYes, read-only plan

DifferentiatorLocal-first design with an AI agent that runs on your own AWS Bedrock keys.

ProofRuns real SQL with joins and aggregations; AI prompts and schema never leave your AWS boundary.

Rating4.6/5

📖 About DynoTable

DynoTable is a desktop client for software developers working with DynamoDB. It provides a GUI with a full SQL workbench, enabling complex queries with joins and aggregations not native to DynamoDB. It also integrates an AI agent that runs on your own Amazon Bedrock keys, ensuring your data and schema remain within your AWS boundary.

How It Works

Your workflow, automated

Connect Your AWS Account

Point DynoTable to your AWS profile using your existing credentials, including support for AWS SSO and aws-vault.

Write Real SQL Queries

Use the SQL Workbench to run SELECT statements with joins, aggregations, and GROUP BY clauses directly on your DynamoDB tables.

Chat with Your Data via AI

Ask the AI agent questions in natural language. It reads your schema and drafts queries, running securely on your own Bedrock keys.

Ready to automate your workflow with DynoTable?

Try DynoTable →

Real Impact

Before & After

❌ Before

Writing custom scripts or fighting the AWS console for basic DynamoDB queries.

Hours spent scripting

✅ After

Running complex SQL queries and leveraging AI directly on DynamoDB tables securely.

Minutes in a GUI

Social Proof

Trusted by professionals

Ease of Use

8.8

Accuracy

9.2

Value

9.4

Time Saving

9.5

"Finally, a sane way to work with DynamoDB. The SQL workbench is a game-changer; running joins and aggregates without an ETL pipeline saves me hours each week."

Alex D., Backend Engineer · June 2026

"The local-first design and bring-your-own-key AI were the deciding factors. Our data never leaves our AWS boundary, which makes security reviews painless."

Samira K., DevOps Lead · May 2026

"It's brilliant for exploration, but running complex joins on massive tables can be slow as it all computes locally. You need a decent machine to get the most out of it."

Chris P., Data Scientist · June 2026

"The free read-only plan is surprisingly capable for daily debugging. I upgraded for the AI agent and haven't looked back. It's worth every penny."

Jordan T., Full-Stack Developer · April 2026

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Connects With

Works with your existing stack

AWS IAM Identity Center (SSO) aws-vault DynamoDB Local Amazon Bedrock Claude Code (via MCP) Cursor (via MCP) Codex (via MCP)

Setup complexity: Intermediate

Comparison

How it compares

DynoTable vs Dynobase: DynoTable's key differentiators are its local-first architecture and its AI agent that runs on your private Bedrock keys, ensuring data never leaves your AWS boundary. Dynobase is a more mature cloud-based client, but routes data through its servers. Choose DynoTable if data privacy and running true SQL with joins and aggregations are your top priorities. Choose Dynobase if you prefer a cloud-synced experience and its specific feature set meets your needs without strict data residency requirements.

You need a fully cloud-based client and don't have concerns about data passing through third-party servers.

Your primary need is simple table browsing, which the AWS Console or other free tools can handle.

You require a client with native support for databases other than DynamoDB.

The decision

Is it worth it?

Return on investment

For $9/month, a developer can save hours of scripting time per week by using the SQL workbench instead of writing custom DynamoDB scan and query code.

Built for

Software developers, backend engineers, and data engineers who build with or manage AWS DynamoDB.

Effort to adopt

Intermediate

Compliance

Compliance posture not publicly documented — verify with vendor.

Who It's For

Why Software Development choose this tool

🎯

Built for

It's best for developers needing to run complex SQL queries, aggregations, and joins on DynamoDB tables while maintaining strict data privacy.

In-Depth Overview

For developers managing DynamoDB, the native AWS Console is limiting and writing custom query scripts is time-consuming. DynoTable solves this by providing a fast, local-first desktop client that brings the power and familiarity of SQL to a NoSQL database. Its core feature is a SQL Workbench that lets you run real `GROUP BY`, `COUNT`, and multi-table `JOIN` operations on your live data. Before executing, it even shows a query plan with an RCU cost estimate, preventing expensive table scans. This alone dramatically speeds up debugging and data exploration. Crucially, DynoTable includes an AI agent that runs on your own Amazon Bedrock credentials. This means you can chat with your tables and have the AI draft queries, but your prompts, schema, and data never leave your AWS account. There is no 'per-seat AI tax' — you pay AWS at cost. This focus on privacy is a key differentiator from cloud-based clients that route your data through their servers. With support for AWS SSO, aws-vault, and DynamoDB Local, it integrates securely and seamlessly into a professional developer's workflow.

Key Use Cases

👩‍💻

Debug production data without writing complex scan scripts

Backend Developer

Visually browse tables, run a quick SQL query with a `GROUP BY` to check data integrity, and edit a single item with a reviewable diff before committing.

Reduced debugging time

📊

Explore data relationships without an ETL pipeline

Data Analyst

Use the Smart Tables canvas to visually join related DynamoDB tables on their primary or secondary keys, and export the resulting dataset for analysis.

Faster data exploration

🔒

Leverage AI on sensitive data securely

Security-Conscious Engineer

Use the AI agent to query tables, knowing that prompts, schema, and data never leave your AWS boundary because it runs on your own Bedrock keys.

Zero data exfiltration risk

✓ Pros

Runs real SQL queries, including joins and aggregations, on DynamoDB.

AI agent uses your own AWS credentials, ensuring 100% data privacy.

Local-first client prevents credentials from being sent to third-party servers.

Free forever plan for read-only access is genuinely useful for daily tasks.

Works with DynamoDB Local for seamless offline development and testing.

· Cons

Joins and aggregations are computed locally, which may strain machine resources on massive datasets.

Full functionality (SQL, AI, editing) requires a paid subscription after the trial.

Team plan is limited to 20 seats before requiring a custom Enterprise plan.

⚡ Editorial Verdict

DynoTable is a powerful and secure GUI for DynamoDB, solving the major developer pain point of running SQL-style queries on a NoSQL database. Its local-first architecture and 'bring-your-own-key' AI agent are significant wins for data privacy. The main trade-off is that joins and aggregations run on your local machine, which could be resource-intensive for extremely large datasets.

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Questions & Answers

Frequently asked questions

How is DynoTable different from Dynobase or other cloud clients?

DynoTable provides a SQL Workbench for real joins and aggregates, an AI agent running on your own AWS Bedrock credentials, and a local-first design where your data and credentials never leave your machine. Cloud clients often route data through their servers.

Does the AI send my data to a third party?

No. The AI agent utilizes Amazon Bedrock through your own AWS credentials. All prompts, schema, and table data remain within your AWS account boundary, with no DynoTable server involved.

Is it safe for production tables?

Yes. DynoTable uses your AWS credentials, respecting your IAM policies. You can assign it a read-only role for safety. All edits are staged in a review window before you commit them, preventing accidental writes.

Can I use DynoTable offline?

Yes, DynoTable works with DynamoDB Local. You can point a profile to a local endpoint (e.g., localhost:8000) to work completely offline without an internet connection.

Is DynoTable free?

Yes, there is a permanent Free plan which is read-only. It allows you to browse tables, use the PartiQL console, and export data. The full-featured product includes a 30-day free trial, after which paid plans are required for the SQL workbench, editing, and the AI agent.

Can I use external AI agents like Claude Code or Cursor?

Yes, DynoTable can run a local MCP server that external agents connect to. The agent can read schema and table data, but any proposed writes are staged for your manual review and approval, ensuring you remain in control.

Last reviewed: June 2026 — Assessed AI agent security, SQL workbench capabilities, and pricing plans.

Plans & Pricing

Start today

Free

Get Started Free

Pro

$18/seat/mo

Per-seat; includes centralized billing, shared AI context, and shared indexes for teams up to 20.

Start Pro Plan

Enterprise

Pricing on request

Tailored for teams and large organisations.

Contact Sales

Prices and features are updated regularly but can change at any time — always confirm on the official website. Some links on this page are affiliate links.

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DynoTable Alternatives (2026)

The best alternatives to DynoTable — every tool below is tested and scored by Zekai.

Compare	DynoTable	VernLLM	Hugging Face
Zekai Score	9.2/10	9.5/10	9.4/10
Rating	4.6/5	4.8/5	4.7/5
Pricing	$18/seat/mo	Free	$9/mo
Free tier	Yes	Yes	Yes
Best for	It's best for developers needing to run complex SQ…	Developers who need to add production-grade reliab…	Best for developers needing to rapidly prototype a…

VernLLM Hugging Face Sorsa API CSVBox SuperAnnotate ZeroShot Amabrik SocialCrawl

Free guide

Take it with you

Getting Started with DynoTable: SQL on DynamoDB

**Problem:** The AWS Console is cumbersome and lacks real query power.
**Solution:** DynoTable provides a secure, local-first desktop GUI.
**Benefit:** Run complex SQL, including joins and aggregations.

**Privacy:** Leverage an AI agent that runs on your *own* AWS keys.
**Offline:** Works seamlessly with DynamoDB Local.

+4 more steps inside the guide

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Disclaimer

Zekai is an independent AI tools directory. We are not affiliated with, endorsed by, or officially connected to DynoTable unless clearly stated. All product names, logos, and brands are the property of their respective owners and are used for identification purposes only. The information on this page — including pricing, features, and availability — is general information, may have changed since our last review, and is not professional advice. Zekai Scores and verdicts are our editorial opinion. Some outbound links are affiliate links that may earn us a commission at no extra cost to you. Spotted outdated or incorrect information? Request a correction →

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Your workflow, automated

Before & After

Trusted by professionals

Works with your existing stack

How it compares

Is it worth it?