Amazon Redshift supports industry-leading security with built-in identity management and federation for single sign-on (SSO), multi-factor authentication, column-level access control, row-level security, role-based access control, Amazon Virtual Private Cloud (Amazon VPC), and faster cluster resize. Amazon Redshift lets you get insights from running real-time and predictive analytics on all your data across your operational databases, data lake, data warehouse, streaming data, and third-party datasets. Performance innovations are available to customers at no additional cost. With tens of thousands of customers running analytics on terabytes to petabytes of data, Amazon Redshift optimizes real-world customer workload performance, based on fleet performance telemetry, and delivers performance that scales linearly to the workload, while keeping costs low. Amazon Redshift offers leading price performance for diverse analytics workloads, whether it is dashboarding, application development, data sharing, ETL (Extract, Transform, Load) jobs or several others. Amazon Redshift Serverless automatically provisions and scales data warehouse capacity to deliver high performance for demanding and unpredictable workloads.
Thousands of customers choose Amazon Redshift to accelerate their time to insights because it is a powerful analytics system that integrates well with database and machine learning services, is streamlined to use, and can become a central service to deliver on all their analytics needs. Q: What are the top reasons customers choose Amazon Redshift? With its Massively Parallel Processing (MPP) engine and architecture that separates compute and storage for efficient scaling, and machine learning driven performance innovations (for example: AutoMaterialized Views), Amazon Redshift is built for scale and delivers up to 5x better price performance than other cloud data warehouses. Amazon Redshift Serverless enables your engineers, developers, data scientists, and analysts to get started easily and scale analytics quickly in a zero-administration environment. Amazon Redshift is deeply integrated with AWS database, analytics, and machine learning services to employ Zero-ETL approaches or help you access data in place for near real-time analytics, build machine learning models in SQL, and enable Apache Spark analytics using data in Redshift. Whether your growing data is stored in operational data stores, data lakes, streaming data services or third-party datasets, Amazon Redshift helps you securely access, combine, and share data with minimal movement or copying. See the IP address allow list page for more information.Tens of thousands of customers use Amazon Redshift every day to run SQL analytics in the cloud, processing exabytes of data for business insights. Failing to add your region-specific IP addresses to your allow list may lead to errors or non-performance when using sources. IP address allow listĪ list of IP addresses must be added to an allow list prior to working with source connectors. Support for database providers include Amazon Redshift. Platform can connect to different types of databases such as relational, NoSQL, or data warehouses.
You can ingest data from a variety of sources such as Adobe applications, cloud-based storage, databases, and many others.Įxperience Platform provides support for ingesting data from a third-party database. The Amazon Redshift source is available in the sources catalog to users who have purchased Real-Time Customer Data Platform Ultimate.Īdobe Experience Platform allows data to be ingested from external sources while providing you with the ability to structure, label, and enhance incoming data using Platform services.
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