SQLyogWebyog
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Related Products
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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.
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About
A Powerful MySQL Development and Administration Solution. SQLyog Ultimate enables database developers, administrators, and architects to visually compare, optimize, and document schemas. SQLyog Ultimate includes a power tool to automate and schedule the synchronization of data between two MySQL hosts. Create the job definition file using the interactive wizard. The tool does not require any installation on the MySQL hosts. You can use any host to run the tool. SQLyog Ultimate includes a power tool to interactively synchronize data. Run the tool in attended mode to compare data from source and target before taking action. Using the intuitive display, compare data on source and target for every row to decide whether it should be synchronized in which direction. SQLyog Ultimate includes a power tool to interactively compare and synchronize schema. View the differences between tables, indexes, columns, and routines of two databases.
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Not Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Supported
Mac
Supported
Linux
Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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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.
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Audience
Database developers, administrators, and architects who want a database management solution to visually compare, optimize, and document schemas and data
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$9/seat/month billed annually
Free Version
Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Not Supported
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Company InformationDynoTable
Founded: 2026
Spain
dynotable.com
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Company InformationWebyog
United States
webyog.com/product/sqlyog/
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Alternatives |
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Categories |
Categories |
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Integrations
Amazon Athena
Not Supported
Amazon Redshift
Not Supported
Amazon Web Services (AWS)
Not Supported
Apache Cassandra
Not Supported
Collate
Not Supported
Google Cloud BigQuery
Not Supported
Google Cloud SQL
Not Supported
Greenplum
Not Supported
IBM Cloud
Not Supported
IBM Db2
Not Supported
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Integrations
Amazon Athena
Supported
Amazon Redshift
Supported
Amazon Web Services (AWS)
Supported
Apache Cassandra
Supported
Collate
Supported
Google Cloud BigQuery
Supported
Google Cloud SQL
Supported
Greenplum
Supported
IBM Cloud
Supported
IBM Db2
Supported
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