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About

Coral is an open-source query layer that allows AI agents and developers to access data across APIs, databases, and file systems using SQL. The platform turns connected sources such as GitHub, Slack, Linear, Datadog, Sentry, Stripe, and PagerDuty into readonly tables that can be explored and joined together. Instead of building custom integrations, ETL pipelines, or API wrappers, teams can use Coral to query multiple systems from one runtime. Coral supports CLI and MCP access, making it usable with tools such as Claude Code, Codex, and other agent frameworks. The platform handles authentication, pagination, rate limits, schema mapping, caching, and semantic hints to improve accuracy and reduce cost. Coral helps engineering teams give AI agents safer, faster, and more useful context for production workflows.

About

DynoTable is a local-first DynamoDB GUI, a desktop client for Amazon DynamoDB on macOS (Apple Silicon), Windows and Linux (.deb/.rpm). Its SQL Workbench runs real SELECT queries with JOINs, GROUP BY and aggregations (SUM, AVG, COUNT DISTINCT, HAVING) over live tables. Every query previews its plan before it runs, showing Scan vs Query, the index and an RCU estimate, so you see the cost first. Smart Tables join tables on a primary key or any global secondary index and recompute live, with no schema migration or ETL. A built-in AI agent runs on your own Amazon Bedrock keys. It reads your schema, drafts queries and proposes writes, and no prompt, schema or row leaves your AWS account. Claude Code, Cursor and Codex connect over MCP. External agents never write directly; every change lands in a staging window you review and commit. DynoTable talks straight to AWS with your own credentials, so it can only do what your IAM policy allows, and works with AWS SSO, aws-vault and DynamoDB Local.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Coral is designed for software developers, AI agent builders, DevOps teams, SRE teams, security teams, and engineering organizations that need SQL-based access to data across APIs, databases, file systems, and operational tools

Audience

Backend, full-stack and DevOps engineers and data teams building on AWS DynamoDB, from solo developers and startups to enterprise teams running production workloads in SaaS, e-commerce and fintech.

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$249/month
Free Version
Free Trial

Pricing

$9/seat/month billed annually
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Coral
Founded: 2024
United Kingdom
withcoral.com

Company Information

DynoTable
Founded: 2026
Spain
dynotable.com

Alternatives

Coral

Coral

Cohere AI

Alternatives

Coral

Coral

Vox Media
Backpack

Backpack

Coral
Darcy AI

Darcy AI

Edgeworx
iCoral

iCoral

iInterchange Systems
Cloud BI

Cloud BI

Perfsys

Categories

Categories

Integrations

Amazon DynamoDB
Claude Code
Datadog
GitHub
Linear
Model Context Protocol (MCP)
OpenAI Codex
PagerDuty
Sentry
Slack
Stripe

Integrations

Amazon DynamoDB
Claude Code
Datadog
GitHub
Linear
Model Context Protocol (MCP)
OpenAI Codex
PagerDuty
Sentry
Slack
Stripe
Claim Coral and update features and information
Claim Coral and update features and information
Claim DynoTable and update features and information
Claim DynoTable and update features and information