Best Big Data Platforms

Google Cloud Platform excels in managing and analyzing big data through tools like BigQuery, a serverless data warehouse for fast querying and analysis. GCP also offers services such as Dataflow, Dataproc, and Pub/Sub, which allow businesses to efficiently process and analyze large datasets. With the added benefit of $300 in free credits for new customers to run, test, and deploy workloads, organizations can start exploring big data solutions without the financial commitment, accelerating their data-driven insights and innovations. The platform’s highly scalable architecture enables companies to process terabytes to petabytes of data quickly and at a fraction of the cost of traditional data solutions. GCP's big data solutions are designed to integrate well with machine learning tools, creating a comprehensive environment for data scientists and analysts to gain valuable insights.

Seerene’s Digital Engineering Platform is a software analytics and process mining technology that analyzes and visualizes the software development processes in your company. It reveals weaknesses and turns your organization into a well-oiled machine, delivering software efficiently, cost-effectively, quickly, and with the highest quality. Seerene provides decision-makers with the information needed to actively drive their organization towards 360° software excellence. Reveal code that frequently contains defects and kills developer productivity.​ Reveal lighthouse teams and transfer their best-practice processes across the entire workforce.​ Reveal defect risks in release candidates with a holistic X-ray of code, development hotspots and tests. Reveal features with a mismatch between invested developer time und created user value.​ Reveal code that is never executed by end-users and produces unnecessary maintenance costs.​