Google Datastudio vs InsightBase
Overview
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Detailed Comparison
It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions. | It allows you to chat with your database using AI. It's an AI-driven business intelligence and data analytics tool for CEOs, founders, managers, and any other non-technical people who need to analyze their database data. |
Easily access a wide variety of data. Data Studio’s built-in and partner connectors makes it possible to connect to virtually any kind of data
Turn your data into compelling stories of data visualization art. Quickly build interactive reports and dashboards with Data Studio’s web based reporting tools
Share your reports and dashboards with individuals, teams, or the world. Collaborate in real time. Embed your report on any web page | A powerful and easy-to-use platform;
Ask question in plain English, No coding or SQL required;
10x faster than traditional tools;
Express your data in beautiful charts and graphs |
Statistics | |
Stacks 202 | Stacks 0 |
Followers 170 | Followers 1 |
Votes 16 | Votes 0 |
Pros & Cons | |
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Integrations | |
What are some alternatives to Google Datastudio, InsightBase?
dbForge Studio for MySQL
It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.
dbForge Studio for Oracle
It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.
dbForge Studio for PostgreSQL
It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.
Metabase
It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
dbForge Studio for SQL Server
It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.
Liquibase
Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.
Sequel Pro
Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.
DBeaver
It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
dbForge SQL Complete
It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.
Knex.js
Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.
