Tag: AWS Cloud Storage

Customers expect database solutions to be both scalable and equipped with robust recovery mechanisms to address unexpected data disruptions. Unintentional transactions or system failures can impact the business. Recovering to a specific point-in-time with point-in-time-recovery (PITR) is indispensable for some customers with critical workloads or compliance requirements AWS Backup simplifies protecting Amazon Aurora databases with […]

Faced with increasing amounts of data and a tightening economic climate, enterprises are looking to save money on their storage costs by moving rarely needed data to archival storage options. The least costly options require your internal systems to support receiving data back in hours or days, often called asynchronous retrievals. With this time delay, […]

Enterprises may want to customize their data sets for different requesting applications. For example, if you run an e-commerce website, you may want to mask Personally Identifiable Information (PII) when querying your data for analytics. Although you can create and store multiple customized copies of your data, that can increase your storage cost. You can […]

With ransomware a top concern for customers, backups are essential to data recovery and business continuity. Customers want a simple method, preferably in a user console, for enabling immutability for backup vaults holding the encrypted data copy. The write-once, read-many (WORM) model applied to backup data provides immutability to recover from accidental or malicious deletions. […]

For many stateful containerized applications, such as those using Kubernetes orchestration, each stateful pod (the smallest deployable container object) may require dedicated persistent storage. A block storage solution is a good fit due to its high performance, low latency, and persistence attributes. If a compute instance has more compute resources to spare, you can only […]

ChaosSearch is an Amazon S3-native database built on a serverless, stateless compute architecture within AWS that delivers live search, SQL, and Generative AI analytics. At ChaosSearch, the speed and performance of our architecture is important to us and our customers because time to results is the difference between success and failure, and we rely on […]

Deep learning processes often need to read full datasets, which are usually hundreds of gigabytes in size, before they can perform intelligent data processing. High data retrieval speed and low latency from storage are crucial for enterprises running these performance-critical workloads. Akridata, an AWS independent software vendor (ISV) partner, helps make artificial intelligence (AI)-assisted unstructured-data […]

Machine learning presents a number of new challenges to data teams, calling for technology solutions that can support training and fine-tuning performance-critical workloads with high performance. Data version control is one of the facets of high-performing ML pipelines, as it allows efficient experimentation and full ML pipeline reproducibility at scale. lakeFS by Treeverse, an AWS […]

ClickHouse is a columnar database management system (DBMS) designed for blazing-fast real-time analytics. It was built to address the needs of interactive analytical applications requiring up-to-the-second analytics. To do that, it must support real-time data ingestion at the rate of hundreds of millions of events per second and run complex analytical queries, such as filtering, […]

Organizations are modernizing their data lakes on Amazon Simple Storage Service (Amazon S3) to handle the ever-growing data volume and speed while meeting the demands of analytics, machine learning (ML), artificial intelligence (AI), and generative AI applications. To enable a data-driven culture and remain innovative, the data platform must allow for data-centric collaboration across business […]