Ascend & AWS
Ascend.io + AWS
Combining the power of the world’s largest cloud with the world’s most advanced data orchestration platform.
Ascend.io + AWS For Intelligent Data Orchestration
Streamlined Data Engineering
With its unprecedented level of automation, Ascend.io unlocks the value of all the major native AWS data services, including Redshift, Sagemaker, Kinesis, Aurora, and all the variants of RDS.
Seamless Integration with the Full Data Stack
Ascend.io also seamlessly integrates with third-party ISV platforms that are now available on AWS, such as Qubole, Databricks, Snowflake, Looker, Tableau, and many others. Ascend.io + AWS unlocks this ecosystem with an ease of transaction through the marketplace, and as a result, the enterprise has a broad array of technology choices to meet its business needs.
Why Use Ascend.io on AWS?
SELF-SERVICE DATA PIPELINES
Ascend.io on AWS raises team productivity of data engineers, data scientists, and data analysts with self-service data pipelines by replacing the complexity of data engineering with low-code, declarative configurations, and a choice of compute engines including Databricks, Qubole, Spark, Snowflake, and more. This allows more of the data team to participate in the development of their data pipelines and eliminates data engineering bottlenecks.
Designed to ingest data specifically for Ascend.io-enabled data pipelines, the extensive connector framework is capable of ingesting data from all AWS native databases and streams, warehouses, and APIs, as well as a vast range of third-party databases, applications and platforms. This often eliminates complex ingestion and staging machinery, reducing cost and streamlining data operations.
Based on a completely new, data-centric paradigm, Ascend.io’s DataAware intelligence governs data lineage for all pipelines with full history linking data and code, and allocates costs to pipeline operations so data teams know exactly where to tune their code. As a result, data engineers are relieved of writing 95% of the code that is typical for data pipelines built from scratch or with simple orchestration tools.