Organizations today face the challenge of not only storing large data volumes but also being able to ingest, access and analyze the data to get insights on demand. That’s why they’re turning to observability solutions backed by scalable S3-compatible data lakes.
See how to start a data lakehouse with Vertica EON mode and Cloudian, extend the data lakehouse with Vertica external tables and Cloudian, and protect Vertica datasets with data backup to Cloudian.
The modernization of the data analytics architecture started in the cloud, but not everyone is able to or willing to move their data to the cloud, for data gravity, security, and/or compliance reasons. Organizations can now implement an S3 data lakehouse and get the same benefits with greater control.
As a data management company, Cloudian has always been interested in how organizations manage their data. A lot of attention has been paid to the WHY and HOW of data interactions, as well as WHERE data is stored. One particularly interesting combination of why, how and where is data analytics.
Enterprise data analytics architectures based on traditional data warehouse platforms–running on appliances and/or traditional storage infrastructure solutions–cannot keep up with the scale, speed, or efficiency required by dynamic enterprises. They can also get expensive very quickly. To gain a competitive advantage, customers are increasingly looking to the cloud model where data warehouse platforms connect directly to and analyze data sitting in an S3 data lake.
Cloudian HyperStore is able to meet the demands of modern applications with a flash based Object Storage offering.
Cloudian HyperIQ™, our new native observability tool, goes beyond conventional monitoring to make Cloudian’s geo-distributed object storage systems even more intelligent. Customer-Driven Design As a product manager, it is a rare opportunity to drive a product from concept to launch. Eighteen months ago I started gathering feedback from our customers to learn what they would … Read More
