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Dynobase
Dynobase

1
4
+ 1
0
Pome
Pome

3
6
+ 1
0
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Pome vs Dynobase: What are the differences?

Pome: Postgres monitoring dashboard. Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly; Dynobase: Professional GUI Client for DynamoDB. Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

Pome and Dynobase belong to "Database Tools" category of the tech stack.

Pome is an open source tool with 1.08K GitHub stars and 40 GitHub forks. Here's a link to Pome's open source repository on GitHub.

- No public GitHub repository available -

What is Dynobase?

Accelerate your DynamoDB workflow with faster data exploration, code generation, bookmarks, and more. It allows to export all operations into CLI and popular languages SDK formats. No more writing queries, just copy and paste straight into your favorite IDE.

What is Pome?

Pome stands for Postgres Metrics. Pome is a PostgreSQL Metrics Dashboard to keep track of the health of your database. This project is at a very early stage and there are a lot of missing features, but I'm hoping to be able to make the project progress quickly.
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              What are some alternatives to Dynobase and Pome?
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              Spring Data
              It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
              Microsoft SQL Server Management Studio
              It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
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