What is Redash acquired by the commercial company behind Spark?
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At the Spark AI summit Keynote on June 24, 2020, Ali Ghodsi, the CEO of DNB, announced that it has acquired Redash, the company behind Redash's open source products!
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Through this acquisition, Redash has joined Apache Spark, Delta Lake and MLflow, creating a larger and more prosperous open source system, providing the data team with the best tools in its class. Why did Digital Brick acquire Redash?
What is Redash?
Redash is a collaborative visualization and dashboard platform designed to allow anyone, regardless of their technical level, to share insights within or across teams. Users who have been using SQL can use Redash to explore, query, visualize, and share data from any data source. Millions of users in thousands of organizations around the world use Redash to make data-driven decisions every day.
Redash mainly includes the following features:
•Query editor: Use the schema browser and code hints to quickly write SQL and NoSQL queries.
• Visualization and Dashboard: Use drag and drop to create beautiful visual interfaces and merge them into a single dashboard.
•Share: By sharing the visual dashboard and its associated queries, collaboration can be easily achieved, and peer review of reports and queries is supported.
• Progress refresh: Automatically update charts and dashboards in user-defined intervals.
•Alarm: Define conditions and send out corresponding alarms when data changes.
•REST API: Everything can be done through UI and REST API.
• Supports a wide range of data sources: Provides an extensible data source API, and provides a large number of common SQL, NoSQL databases and platform data source interfaces.
Let's take a look at the visual interface of Redash
Easily perform SQL queries on data in Delta Lake or any other data source
Visualize the results
Share the calculated results
Redash and Databricks
Databricks heard about Redash for the first time through some early customers. As time goes by, more and more users are asking for the improvement of the integration between Databricks and Redash. So earlier this year, Digital Brick invited Arik Fraimovich, founder and CEO of Redash, to visit Databricks to discuss how the two projects work together and how to make data easier to analyze. It can be seen from this that many things are driven by customer needs, and customer needs are the most important.
From the previous introduction to Redash, it can be seen that Redash and Digital Brick’s products have many functions in common. Their core values are to make it easier for data practitioners to collaborate around data and make all teams Data can be accessed democratically, so this is also a big reason why Digital Brick acquired Redash.
After Databricks integrates Redash, data scientists and data engineers can easily query and visualize data in Delta Lakes and other data sources.
Redash and the existing Databricks platform can achieve seamless integration: All data centers operated by Databricks can use Redash; in addition, identity management and data governance are unified without additional configuration; finally, the catalogs and metadata of these two products are also It's all shared.
Databricks' vision is to provide a unified data analysis platform to help every data team in the company solve the world's most difficult problems-including data analysts, data engineers, data scientists and machine learning engineers. By providing each team with the tools they need for their own work and having a shared platform where they can collaborate, each data team can achieve success together.
After the acquisition of Redash, Databricks will better build lakehouse, which combines the best functions of the data lake and data warehouse. In a unified architecture, each team can work together on the same data source.