Dashbird vs Navicat

Overview

Navicat

Stacks126

Followers260

Votes8

Dashbird

Stacks25

Followers34

Votes6

Dashbird vs Navicat: What are the differences?

Developers describe Dashbird as "Monitoring and troubleshooting for serverless applications". Dashbird gives full visibility into serverless architectures. Failure detection, monitoring and debugging capabilities for AWS Lambda and event sources. Get up and running in 5 minutes without any performance overhead or code changes. On the other hand, Navicat is detailed as "Navicat is a comprehensive DB tool for MySQL, MariaDB, SQL Server, SQLite, Oracle and PostgreSQL development and management". Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.

Dashbird and Navicat belong to "Performance Monitoring" category of the tech stack.

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CLI (Node.js)

Manual

Advice on Navicat, Dashbird

Adam

IT Consultant

Jan 14, 2020

Decided

We were looking a tool that would allow us to do MySQL and PostgreSQL development/administration from a single tool. We decided on Navicat Premium because it can connect to MySQL, MariaDB, MongoDB, SQL Server, Oracle, PostgreSQL, and SQLite databases - and simultaneously. It's also compatible with Amazon RDS and Microsoft Azure, which we also use.

Moreover, we previously experienced the occasional freezing and crashing in MySQL Workbench. It also suffered from a poor design, with certain features being a bit difficult to find. Meanwhile, phpMyAdmin lacked schema visualization tools and seemed better suited to lightweight day to day transactions than some of the big jobs that we needed to do.

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Comments

Detailed Comparison

Navicat	Dashbird
Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.	Dashbird gives full visibility into serverless architectures. Failure detection, monitoring and debugging capabilities for AWS Lambda and event sources. Get up and running in 5 minutes without any performance overhead or code changes.
-	Monitoring; Alerting; Full text search; Live tailing; Debugging; Reports; X-ray Tracing
Statistics
Stacks 126	Stacks 25
Followers 260	Followers 34
Votes 8	Votes 6
Pros & Cons
Pros 8 Fast	Pros 3 Easy setup 1 Great overview in seconds 1 Actionable insights 1 Good centralized view for the tech leads
Integrations
PostgreSQL MariaDB MySQL	Amazon DynamoDB AWS Lambda Amazon SQS Amazon Kinesis Slack Amazon SNS Amazon CloudWatch Amazon Elasticsearch Service AWS Step Functions Amazon Kinesis Firehose

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