Systems | Development | Analytics | API | Testing

Consumption-based Pricing: Ensuring Every Customer's Value and Success

Consumption-based, aka usage-based, pricing is hardly new. Anyone with an electricity, gas, or water bill knows that the amount you pay each month varies depending on your usage. More recently, disruptive companies have pushed other industries (transportation, hospitality, communications, and insurance) to transform by providing usage-based products and services via software applications. As consumers, we see this all around us, when we hail an Uber or choose a short-term rental on AirBnB.

Which Stitch Alternative Should You Choose? Top 7 Stitch Alternatives

Stitch is a popular cloud-based Extract, Load, Transform (ELT) tool. Stitch seamlessly moves data between databases, warehouses, data lakes, SaaS services, and other applications with no code required whatsoever, making it a valuable weapon for data integration. However, the platform has limited data transformation capabilities and, away from its free tier, charges users for the amount of data they use per month, which often works out to be more expensive than other pricing models in the ETL/ELT space.

Troubleshooting Databricks

The popularity of Databricks is rocketing skyward, and it is now the leading multi-cloud platform for Spark and analytics workloads, offering fully managed Spark clusters in the cloud. Databricks is fast and organizations generally refactor their applications when moving them to Databricks. The result is strong performance. However, as usage of Databricks grows, so does the importance of reliability for Databricks jobs - especially big data jobs such as Spark workloads. But information you need for troubleshooting is scattered across multiple, voluminous log files.