Precisely

MAY 23, 2024

The sudden popularity of cloud data platforms like Databricks , Snowflake , Amazon Redshift, Amazon RDS, Confluent Cloud , and Azure Synapse has accelerated the need for powerful data integration tools that can deliver large volumes of information from transactional applications to the cloud reliably, at scale, and in real time.

Data Integration 62

Data Integration Metadata Telecommunication Data Governance 62

Striim

NOVEMBER 30, 2022

When you run Striim on AWS, it lets you create real-time data pipelines for Redshift, S3, Kinesis, Databricks, Snowflake and RDS for enterprise workloads. When you run Striim on AWS, it lets you create real-time data pipelines for Redshift, S3, Kinesis, Databricks, Snowflake and RDS for enterprise workloads.

AWS 52

AWS Cloud Management Google Cloud 52

Monte Carlo

FEBRUARY 15, 2023

On the surface, the promise of scaling storage and processing is readily available for databases hosted on AWS RDS, GCP cloud SQL and Azure to handle these new workloads. Since the inception of the cloud, there has been a massive push to store any and all data. Cloud data warehouses solve these problems.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52