Analytics and Data Science News for the Week of April 7; Updates from Atlassian, Databricks, and Grafana Labs

The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of April 7, 2022. In this week’s roundup, news from Atlassian, Databricks, Grafana Labs, and more.

Keeping tabs on all the most relevant data management news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy data science and analytics news items.

Top Analytics and Data Science News for the Week Ending April 7, 2022

Atlassian Debuts its New Data Lake and Analytics Tools

Using the technology from Chartio, a cloud-based data visualization and analytics solution that Atlassian acquired last year, they build Atlassian Analytics. The product offers a flexible hub that lets you connect to the Atlassian Data Lake and allows users to access data in a variety of ways. It touts out-of-the-box interactive dashboards, SQL visualization, no-code visualization, the ability to blend in data from other sources, and more.

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Databricks Unveils Delta Live Tables

Delta Live Tables is the first ETL framework to use a simple declarative approach to build reliable data pipelines and to automatically manage data infrastructure at scale. It combines both modern engineering practices and automatic management of infrastructure. It simplifies ETL development by allowing engineers to simply describe the outcomes of data transformations.

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Grafana Labs Nabs $240 Million in Series D Funding

With this round of investment, Grafana Labs CEO and Co-founder Raj Dutt said, “Our plans are simple: aggressively deliver on our product roadmap and our commitment to embracing the big tent — enabling our users to compose and visualize data from any source — while continuing to build out modern observability capabilities across metrics, logs, tracing, and more.”

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Tinybird Raises $37 Million in Series A Funding

Tinybird helps data teams deliver real-time answers at scale through analytical API endpoints. The product lets you ingest millions of rows per second from data streams, data warehouses, and CSV files. Users can also query and shape data using Pipes, a feature that lets you chain SQL queries. Tinybird is designed to reduce complexity without sacrificing performance as well.

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