Oracle’s GoldenGate for replicating, filtering, and transforming data from one database to another is now available as an automated, fully-managed cloud service, with elastic scaling and pay-as-you-go pricing.
The enterprise software company says its new Oracle Cloud Infrastructure (OCI) GoldenGate service is the first cloud service of any major cloud provider to offer an elastic, pay-per-use solution for general purpose database replication, data integration, real-time data ingestion to cloud, and support for time-series analytics while data is in flight.
The product allows customers to ensure their valuable data is always available anywhere they need it, and analysable in real-time.
The new OCI GoldenGate service uniquely addresses event-based data integration for operational databases and analytic data stores.
The product provides operational data integration and data engineering for analytics while conventional tools are tuned to one or the other only. OCI GoldenGate can be applied to mission-critical operational data stores as well as real-time data warehouses, data lakes and streaming analytics.
The unified approach helps customers simplify their data architecture while avoiding fragmented and complex tooling. It also aligns the operational system of record to business analytics more closely than otherwise possible with legacy batch processing tools.
“Oracle GoldenGate is a highly trusted data integration solution for thousands of customers worldwide, including 84% of Fortune Global 100 companies,” said Juan Loaiza, executive vice president, mission-critical database technologies, Oracle. “Oracle is now delivering the enterprise-hardened GoldenGate technology as a cloud-native elastic service to provide customers with a simple-to-use, integrated, operational and analytic real-time data fabric. It cuts both the time and cost of creating a data integration solution in half compared to the options provided on competing clouds.”
The new service runs on Oracle’s latest GoldenGate 21c microservices architecture that provides for a global mesh of connected data resources. It can be seamlessly integrated into customer’s DevOps continuous integration and continuous development (CI/CD) pipelines.
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