Supporting Multiple Tenants with Bucket-Level Object Storage Policies
The ability to create and manage multiple control plane configuration sets (or storage policies) is needed to support multiple tenants and use cases in an object storage system.
Building and Protecting Data Lakehouse Projects with Cloudian and Vertica
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.
VMware Cloud Service Providers Can Expand Their Business with Ransomware Protection
By helping their customers protect against ransomware, VCSPs can grow their footprint with existing clients and attract new ones. It’s easy with Object Lock technology.
Meeting Hybrid Cloud Demands: Microsoft AzureStack HCI and Cloudian HyperStore
Microsoft and Cloudian enable organizations to leverage the benefits of public cloud while keeping some infrastructure, applications and data on-premises, behind the firewall and fully under the organization’s control.
On-prem S3 Data Lakehouse for Modern Analytics and More
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.
Cloudian Enhances MSP Partner Program
Organizations face a range of challenges in managing and protecting their data, providing new market opportunities for service providers. Cloudian’s enhanced MSP program ensures MSP partners are well-positioned to capitalize on these opportunities by delivering greater value-add to their customers and driving increased growth and profit.
From Data Warehouse to Data Lakehouse: The Evolution of Data Analytics Platforms
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.
HyperBalance Brings Adaptive Data Management to Cloudian HyperStore Scale-Out Object Storage
Explosive growth in data is driving new data management solutions in the market, Object storage solutions such as Cloudian HyperStore are becoming the go-to choice to handle massive amounts of structured and unstructured data. Designed for massive scale-out deployments that are geographically dispersed, object storage is becoming the means to future-proof your data growth. To prove the need for easy data management at scale, we have only to look at the trendline for how much data is being created worldwide each year.
Cloudifying Enterprise Data Analytics with VMware Tanzu Greenplum and Cloudian Object Storage
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.
Modern Performant Applications Require Modern Storage
Modern, cloud-native applications have been steadily expanding beyond development environments to on-premises production workloads. For enterprises, one of the primary drivers for making this move has been to ensure performance and avoid the cost and complexity of moving large workloads to the cloud. As a result, organizations require a modern storage foundation that can fully support cloud-native environments and emerging technologies, such as Kubernetes, serverless computing and microservices which are significant components of these environments.
