Data Pipeline to Cloud

2 Minute Read



Building a streaming data pipeline to cloud services is essential to moving enterprise datain real time between on-premises and cloud environments.

Extending data infrastructure to hybrid and multi-cloud architectures enables businesses to scale easily and leverage a variety of powerful cloud-based services. Data must be a key consideration when migrating applications to the cloud, to ensure that services have access to the data they need, when they need it, and in the format required. Data Pipeline to Cloud

Although adopting a cloud architecture offers significant benefits in terms of savings and flexibility, it also creates challenges in managing data across different locations. Using traditional approaches to data movement introduces latency for applications that demand up-to-the-second information. Batch ETL methods are also constrained by the number of sources and targets that can be supported.

The Striim platform simplifies the building of a streaming data pipeline to cloud, allowing organizations to leverage fully connected hybrid cloud environments across a variety of use cases. Examples include offloading operational workloads, and extending a data center to the cloud, as well as gaining insights from cloud-based analytics.

Taking advantage of Striim’s easy-to-use wizards to build and modify a highly reliable and scalable data pipeline to cloud environments, data can be moved continuously and in real time from heterogenous on-premises or cloud-based sources – including transactional databases, log files, sensors, Kafka, Hadoop, and NoSQL databases – without slowing down source systems. Using non-intrusive, real-time change data capture (CDC) ensures continuous data synchronization by moving and processing only changed data.

Striim feeds real-time data with full-context via the data pipeline to cloud and other targets, processing and formatting it in-memory. Filtering, transforming, aggregating, enriching, and analyzing data all occurs while the data is in-flight, before delivery of the relevant data sets to multiple endpoints.

Built-in data pipeline to cloud monitoring via interactive dashboards and real-time alerts allows users to visualize the data flow and the content of datain real time. With up-to-the-second visibility of the data pipeline to cloud infrastructure, users can quickly and easily verify the ingestion, processing, and delivery of their streaming data.

To read more about building a real time data pipeline to cloud using Striim, please go to:

If you would like to see how a data pipeline to cloud is built, please schedule a demo with one of our technologists.