In an evergrowing data World, at LeanXcale, we believe in companies willing to make fast and informed decisions to gain a competitive advantage.

LeanXcale accelerates data batch processing

Data-driven companies must process increasing amounts of data

Business units' activities rely on batch processes.

According to IDC Research, the globally generated data will reach 175 zettabytes by 2025. In addition, a study by Forrester Research found that batch processing is the most common method for processing big data for more than 57% of organizations. Batch data pipelines are a powerful way to quickly handle large volumes of data, making data-driven decisions that push growth and profitability.

Processing corporate-required data quantities make batch processes slow

Often batch data pipelines cannot end on time.

The increasing amount of data that companies need to process is making batch processes slow, and often they cannot be completed on time. So, this operational risk can cause decision-making delays and uncertainty that negatively impact business units' performance.

How can data-driven companies ensure the data pipelines timely execution?

Companies cannot guarantee execution in the time window.

Ensuring the timely execution of data pipelines is becoming a significant challenge for data-driven companies. Companies need to adopt new technologies and approaches to overcome this challenge. But finding the optimal long-term solution becomes a crucial question.

LeanXcale speeds up 10x data batch processing

Its innovative technology accelerates any current or future volumetry

LeanXcale is a cutting-edge SQL database that significantly speeds up data batch processing. Its innovative technology accelerates any current or future volumetry, making it a highly efficient and valuable solution for data-driven companies that rely on large amounts of data.