There are a number of different data pipeline solutions available, and each is well-suited to different purposes. For example, you might want to use cloud-native tools if you are attempting to migrate your data to the cloud.
The following list shows the most popular types of pipelines available. Note that these systems are not mutually exclusive. You might have a data pipeline that is optimized for both cloud and real-time, for example.
- Batch. Batch processing is most useful for when you want to move large volumes of data at a regular interval, and you do not need to move data in real time. For example, it might be useful for integrating your Marketing data into a larger system for analysis.
- Real-time. These tools are optimized to process data in real time. Real-time is useful when you are processing data from a streaming source, such as the data from financial markets or telemetry from connected devices.
- Cloud native. These tools are optimized to work with cloud-based data, such as data from AWS buckets. These tools are hosted in the cloud, allowing you to save money on infrastructure and expert resources because you can rely on the infrastructure and expertise of the vendor hosting your pipeline.
- Open source. These tools are most useful when you need a low-cost alternative to a commercial vendor and you have the expertise to develop or extend the tool for your purposes. Open source tools are often cheaper than their commercial counterparts, but require expertise to use the functionality because the underlying technology is publicly available and meant to be modified or extended by users.
Ronan Analytics is the leading provider of data pipelines. If you’re ready to learn more about how Ronan Analytics can help you solve your biggest data collection, extraction, transformation, and transportation challenges, please contact us.