Databricks relies on low-code / no-code

Databricks, a company specializing in data lakehouse architecture, announces the acquisition of the German start-up 8080 Labs. This young growth is at the origin of Bamboolib, a data science tool based on a user interface allowing rapid exploration and transformation of data. With the arrival of this low-code / no-code specialist in its ranks, Databricks will be able to integrate new functionalities into its lakehouse platform.

An acquisition for a gradual entry into the world of low-code / no-code

After acquiring Redash in June 2020, the Databricks company valued at more than $ 38 billion announces that it has acquired a low-code / no-code specialist: the German start-up 8080 Labs. In recent years, Google, Amazon or even Salesforce had already embarked on the field of low-code / no-code. This technology allows people who are not used to coding, to develop applications without having to master all the steps and all the complexity of computer programming.

In the same category

MEPs adopt moratorium on police use of facial recognition

“Adding simple functionalities to Databricks is a crucial step in enabling as many people as possible within a company to easily analyze and explore large volumes of data, whatever their expertise” says Ali Ghodsi, co-founder, and CEO of Databricks. Indeed, with the arrival of the German start-up, the objective is to make the Databricks platform more accessible and easier to use for both experts and data scientists.

Features designed by 8080 Labs at the service of Databricks

“We founded 8080 Labs to bring simplicity to complex data operations and to make the power of data science and machine learning accessible to data teams whatever their skills” says Tobias Krabel, co-founder of 8080 Labs. The low-code / no-code features of the Bamboolib tool will be associated with the “glass box” approach of the AutoML solution. Thus, users of the Databricks platform will be able to perform various operations, from data analysis to transformation and machine learning workfolws.

Tobias Krabel specifies that with “From open source roots and an incredible vision to reshape the data landscape with the lakehouse architecture category, we see endless opportunities with Databricks and couldn’t be more excited to join Databricks on this adventure”. For the company founded by the creators of Apache Spark, this acquisition reinforces Databricks’ desire to foster a global culture of innovation. It is also his latest addition to a growing group of talented engineers in the Europe Middle East & Africa (EMEA) region.

Databricks, a constantly evolving company

Earlier this year, the Cubonacci team, an Amsterdam-based data science solutions start-up, also joined Databricks to support the development of scalable and secure data storage and machine learning capabilities. The largest city in the Netherlands is now home to Databricks’ second largest engineering center.

Note that the group recently raised $ 1.6 billion, bringing its valuation to $ 38 billion. This funding will be used to accelerate the adoption and development of its lakehouse platform internationally. The company should soon open an R&D center in Berlin.

The company is on track to generate nearly $ 1 billion in 2022, which would be a growth rate of over 75% from this year.

Source link

LEAVE A REPLY

Please enter your comment!
Please enter your name here