Tag: Amazon Aurora

Feed: DB-Engines.com Blog. Author: Paul Andlinger. Blog > Postby Paul Andlinger, 12 December 2019Tags: Amazon Aurora, Amazon DynamoDB, Amazon Redshift, DBaaS, Firebase Realtime Database, Google BigQuery, Google Cloud Firestore, Microsoft Azure DocumentDB, Microsoft Azure Search, Microsoft Azure SQL Data Warehouse, Microsoft Azure SQL DatabaseCloud-based database management systems are continuously increasing in popularity. We analyze the trends and show the big players. About three years ago we were writing about the popularity of cloud-based DBMS’s. At that time the popularity of those systems just had increased to 1.6% of the overall popularity of all DBMS’s. We think it is time to ... Read More

Feed: AWS Government, Education, & Nonprofits Blog. Author: AWS Public Sector Blog Team. FINRA CAT, LLC, a subsidiary of Financial Industry Regulatory Authority (FINRA), announced today it has selected Amazon Web Services (AWS) as its cloud provider for the Consolidated Audit Trail (CAT). The CAT will allow regulators to improve securities market surveillance by creating an extensive audit trail of order information for all U.S. equity securities and listed options across U.S. markets and trading venues. Leveraging AWS’s storage, compute, database, analytics, and security services, CAT ingests more than 100 billion market events per day, pulling together data from 22 stock ... Read More

Feed: Recent Announcements. This release is available in the US East (N. Virginia), US East (Ohio), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Tokyo), and EU (Ireland) regions. For additional release details, see the Release Notes. Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to three times better performance than the typical PostgreSQL database, together with increased scalability, durability, and security.  ... Read More

Feed: Recent Announcements. Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better throughput than standard MySQL and up to three times better throughput than standard PostgreSQL, together with increased scalability, durability, and security.  Learn more about AWS GovCloud (US) here or contact the AWS GovCloud (US) team with any questions.  ... Read More

Feed: Recent Announcements. Amazon Aurora combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open source databases. It provides up to five times better throughput than standard MySQL together with increased scalability, durability, and security.  ... Read More

Feed: Recent Announcements. Previously, gathering performance data on a database required configuration and maintenance of monitoring applications and related resources. Correlating performance data took hours without specialized expertise. To find a query of interest, such as a stuck or long-running SQL query, meant investigating each query one at a time. RDS Performance Insights allows non-experts and experts to identify top SQL loads and from where they originated on a visual dashboard in seconds. Now, RDS Performance Insights also collects SQL-level metrics such as average latency, calls per second, and rows returned per call. You can determine if a SQL query ... Read More

Feed: Recent Announcements. The Data API Client Library makes it easy to build applications with the Amazon RDS Data API, by providing support for data type translation and object mapping. You can use the Client Library to reduce the complexity of data type handling and write less code when invoking the Data API. For more information, including instructions on getting started with client library, read the documentation. The Data API enables you to focus on building your applications without worrying about managing database connections or connection pools. Instead, you can issue SQL commands against an Aurora Serverless cluster by simply ... Read More

Feed: Recent Announcements. Since Aurora makes direct calls to SageMaker and Comprehend that don’t go through the application layer, Aurora machine learning is suitable for low-latency, real-time use cases such as fraud detection, ad targeting, and product recommendations, where machine learning-based predictions need to be quickly made on large amounts of data. You can use any ML model available in SageMaker, or you can run sentiment analysis using Comprehend. There’s no additional charge beyond the price of the AWS services that you are using. Aurora machine learning is available for Amazon Aurora with MySQL 5.7 compatibility; the SageMaker integration is ... Read More

Feed: AWS Partner Network (APN) Blog. Author: David Walters. By Kam Lee, IoT Technical Specialist at IntelBy David Walters, IoT Partner Solutions Architect at AWSAdvances in the Industrial Internet of Things (IIoT) have made smart factories a reality through the application of artificial intelligence (AI) and cloud computing technologies that improve machine operation and manufacturing processes. To do this, purpose-built hardware at the edge needs to interface with operational technology (OT), which includes industrial machines and assets that often speak their own proprietary fieldbus protocols. The edge hardware translates the fieldbus protocols, processes that data, and connects to Amazon Web ... Read More

Feed: Recent Announcements. Aurora Global Database replicates writes in the primary region with typical latency of ... Read More