Remove Big Data Remove Healthcare Remove Processing Remove Storage
article thumbnail

Kubernetes in the wild report 2023

Dynatrace

Redis is an in-memory key-value store and cache that simplifies processing, storage, and interaction with data in Kubernetes environments. Big data : To store, search, and analyze large datasets, 32% of organizations use Elasticsearch. Databases : Among databases, Redis is the most used at 60%.

article thumbnail

What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321
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

Expanding the Cloud: Introducing the AWS Asia Pacific (Mumbai) Region

All Things Distributed

In addition, Change Healthcare. previously known as Emdeon) uses Amazon SNS to handle millions of confidential client transactions daily to process claims and pharmacy requests serving over 340K physicians and 60K pharmacies in full compliance with healthcare industry regulations. . We want you to start using it today.

AWS 90
article thumbnail

Dutch Enterprises and The Cloud

All Things Distributed

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129
article thumbnail

Should You Use ClickHouse as a Main Operational Database?

Percona

Processed 4.15 The data is partitioned and sorted by created_utc so queries which include created_utc will be able to using partition pruning: therefore skip the not-needed partitions. Processed 4.15 Processed 8.19 Processed 8.19 Processed 4.15 Processed 3.05 Processed 8.19 count()?? ?