The eCommerce industry is witnessing an unprecedented surge, with global sales projected to reach $8.5 trillion by 2026. But here’s the big question: Are businesses truly prepared to meet the skyrocketing expectations of today’s tech-savvy consumers? Well, in this hyper-digital era, how do brands not only attract users but ensure they stick around for the long haul? The answer lies in taking advantage of futuristic technologies that deliver next-gen experiences, speed, and innovation.

The promise of AI-driven development is undeniable – faster code, quicker releases, and unprecedented innovation. But here’s the catch: AI isn’t perfect, and the code it generates could be riddled with hidden flaws. In fact, within three years, over a third of all code will be AI-generated, and much of it may introduce more bugs into production than ever before.

Mobile application testing ensures the functional and non-functional quality of mobile application workflows. With a growing number of tools available, choosing the best one that fits your needs can be challenging.

Imagine you’re preparing to launch a new mobile application that promises seamless streaming. Everything’s in place, the design is sleek, the content is engaging, and marketing efforts are driving significant traffic.

Databricks is a cloud-based platform that simplifies ETL (Extract, Transform, Load) processes, making it easier to manage and analyze large-scale data. Powered by Apache Spark and Delta Lake, Databricks ensures efficient data extraction, transformation, and loading with features like real-time processing, collaborative workspaces, and automated workflows.

Microsoft offers three key ETL tools to handle data integration and transformation tasks: Azure Data Factory, SQL Server Integration Services (SSIS), and Power Query. Each tool is tailored for specific use cases, from large-scale cloud projects to self-service analytics.

In the current data intensive world we live in many customers deal with heavy volumes of data that reside in databases and streaming systems. There are many ways to move data from one cloud platform to another, but for efficient migration, ease of use/development, and near zero downtime, a tool that does continuous near real-time data movement and CDC (change data capture) is needed.

In Part 1 of this database replication resync time benchmark study, we discussed why minimizing your database replication resync times is of upmost importance when building mission-critical data products. In this Part 2, we share the breakdown of the tests that were carried out and the detailed results for each platform. The six platforms that we benchmarked for their CDC database replication resync times were.