Autoscaling Lakebase Postgres
Choosing a database instance size before you know the workload is an old building pattern...
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Choosing a database instance size before you know the workload is an old building pattern...
Источник: Компьютерра - Журнал о науке и технологиях МБД Tantor XData позволяет построить частную инфраструктуру database-as-a-service (DBaaS) непосредственно в дата-центре заказч...
Cloud giant expresses love for DuckDB by buying its main support and development company
Enterprises rely on mission-critical operational databases where performance slowdowns simply aren’t an option. Yet when even a few agents execute dense reasoning loops, the unpred...
Serverless data management without egress fees, sort of
Every Postgres vendor calls itself "managed." Few of them agree on what that word...
Entire database engineering careers have been spent on a single question: How do you scale an OLTP workload without compromising the system of record that owns the data? Exadata an...
We are thrilled to announce the general availability of the AlloyDB Omni Red Hat RPM orchestrator, that brings production-ready security, resiliency, and low-downtime operations to...
Agents that interact with a traditional OLTP database often create bottlenecks at the storage layer. New deployments...
Databases have traditionally been designed either for analytical data or for operational data. But database engine CedarDB supports both, and its approach has gained relevance with...
For most of the history of data warehousing, running a serious analytical query meant talking to a server somewhere: a cluster, a managed warehouse, or at minimum a separate databa...
Recently, I completed the Oracle Autonomous AI Database 26ai learning path, and it gave me a great perspective on how databases are evolving in the AI era. For years, databases we...
As customers modernize to lakehouse architectures, they are standardizing on open formats such as Apache Iceberg to create a shared data estate across compatible engines. This enab...
В зрелых корпоративных экосистемах вроде Java или .NET инструменты для работы с базами данных опираются на стандартизированные на уровне среды выполнения интерфейсы (Service Provid...
Run ad hoc SQL analytics on your Amazon DynamoDB data with DuckDB. A zero-ETL integration replicates your table into Apache Iceberg tables on Amazon S3 Tables, and an AWS Lambda fu...
DuckDB runs analytical SQL in-process with no server to manage. Learn how the embedded analytics engine works and when data analysts should use it.
Amazon CloudWatch Database Insights now extends to self-managed databases. Monitor self-managed PostgreSQL on Amazon EC2 alongside your Amazon Aurora and Amazon RDS fleet from a si...
Cornerstone OnDemand built Orion AI, a multi-agent system on Amazon Bedrock and Strands Agents, to turn database operations from reactive firefighting into proactive automation. A...
Moeve standardized how it runs dbt across multiple data lakes by building a centralized, serverless launcher on Amazon Athena, AWS Step Functions, AWS Fargate, Amazon DynamoDB, and...
Spanner Omni, the deploy-anywhere version of Spanner, is now generally available, ready to power your most demanding production workloads in your on-premises data center or on othe...
Lakebase is a fully managed Postgres database, built for the operational realities...
Operational databases like Postgres are built to reliably execute highly concurrent...
Learn how Datacor built a self-service rental analytics experience for gas and welding distributors by embedding Amazon Quick Sight dashboards and natural language querying into it...
Discover how Oracle's new Exadata Database Service enhances AI capabilities on AWS, offering businesses powerful tools for data management and analytics. Explore the features and b...
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