article thumbnail

Speeding Up Restores in Percona Backup for MongoDB

Percona

Bringing physical backups in Percona Backup for MongoDB (PBM) was a big step toward the restoration speed. The speed of the physical restoration comes down to how fast we can copy (download) data from the remote storage. We aim to port it to Azure Blob and FileSystem storage types in subsequent releases. Let’s try.

Speed 81
article thumbnail

What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. What is a data lakehouse? How does a data lakehouse work?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice.

Cache 130
article thumbnail

AWS serverless services: Exploring your options

Dynatrace

This means you no longer have to provision, scale, and maintain servers to run your applications, databases, and storage systems. Instead of worrying about infrastructure management functions, such as capacity provisioning and hardware maintenance, teams can focus on application design, deployment, and delivery. Reliability.

article thumbnail

Mayastor: Lightning Fast Storage for Kubernetes

Percona Community

In this blog post we’re going to see those technologies at work to give us awesome block storage performance with flexibility and simple operations. It’s a new generation in storage software, designed for super high speed low latency NVMe devices. Why is SPDK exciting?

Storage 52
article thumbnail

The history of Grail: Why you need a data lakehouse

Dynatrace

A data lakehouse addresses these limitations and introduces an entirely new architectural design. This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). Grail is built for such analytics, not storage.

article thumbnail

Enhance data management with Grail: Ultimate guide to custom buckets and security policies

Dynatrace

Grail: Enterprise-ready data lakehouse Grail, the Dynatrace causational data lakehouse, was explicitly designed for observability and security data, with artificial intelligence integrated into its foundation. Buckets are similar to folders, a physical storage location. There is a default bucket for each table.