Navicat vs dbt

Overview

Navicat

Stacks126

Followers260

Votes8

dbt

Stacks517

Followers461

Votes16

dbt vs Navicat: What are the differences?

Developers describe dbt as "A command line tool that enables data analysts and engineers to transform data in their warehouse more effectively". dbt - Documentation. On the other hand, Navicat is detailed as "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.

dbt and Navicat can be categorized as "Database" tools.

According to the StackShare community, Navicat has a broader approval, being mentioned in 9 company stacks & 11 developers stacks; compared to dbt, which is listed in 5 company stacks and 8 developer stacks.

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CLI (Node.js)

Manual

Advice on Navicat, dbt

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	dbt
Powerful database management & design tool for Win, Mac & Linux. With intuitive GUI, user manages MySQL, MariaDB, SQL Server, SQLite, Oracle & PostgreSQL DB easily.	dbt is a transformation workflow that lets teams deploy analytics code following software engineering best practices like modularity, portability, CI/CD, and documentation. Now anyone who knows SQL can build production-grade data pipelines.
-	Code compiler; Package management; Seed file loader; Data snapshots; Understand raw data sources; Tests; Documentation; CI/CD
Statistics
Stacks 126	Stacks 517
Followers 260	Followers 461
Votes 8	Votes 16
Pros & Cons
Pros 8 Fast	Pros 5 Easy for SQL programmers to learn 3 Reusable Macro 2 CI/CD 2 Modularity, portability, CI/CD, and documentation 2 Faster Integrated Testing Cons 1 Only limited to SQL 1 Very bad for people from learning perspective 1 People will have have only sql skill set at the end 1 Cant do complex iterations , list comprehensions etc .
Integrations
PostgreSQL MariaDB MySQL	Exasol Snowflake Materialize Presto Amazon Redshift Google BigQuery PostgreSQL Apache Spark Dremio Databricks

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