The adoption of Kubernetes-enabled infrastructures and applications has revealed the challenge involved in enabling persistent, reliable data storage in an ephemeral compute…
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GigaOm Radar for Machine Learning Operations
Machine learning operations (MLOps) solutions streamline machine learning (ML) model development, deployment, and governance, enabling production ML at scale. They simplify each…
Read MoreGigaOm Radar for Cloud File Systems
File storage is a critical component of every hybrid cloud strategy, and enterprises often prefer it over block and object storage, in…
Read MoreKey Criteria for Evaluating Machine Learning Operations Solutions
In recent years, the market for machine learning operations (MLOps) has seen rapid growth as businesses seek support for becoming machine learning…
Read MoreGigaOm Sonar Report for Storage as a Service
Storage as a service (STaaS) is a subscription-based model for data storage that provides customers with a cloud-like experience in terms of…
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Cloud Analytics Platform Total Cost of Ownership
Organizations today need a broad set of enterprise data cloud services with key data functionality to modernize applications and utilize machine learning.…
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Cloud Parallel File Systems
The latest organizational initiatives involving artificial intelligence (AI), machine learning (ML), high performance computing (HPC), and containerized application spaces necessitate a robust…
Read MoreKey Criteria for Evaluating Disaster Recovery and Business Continuity as a Service Solutions
Disaster recovery (DR) provides rapid restoration of one or more applications or systems when the data center where they reside is, or…
Read MoreGigaOm Radar for Network Validation
With business-critical services on the line, managing the network holistically is essential for ensuring operational consistency. Many enterprises address network governance with…
Read MoreGigaOm Radar for Data Catalogs
In today’s technology environment, many organizations find themselves trying to analyze data dispersed across numerous, disparate sources, including databases, data warehouses, data…
Read MoreKey Criteria for Evaluating Data Catalogs
In today’s technology environment, many organizations find themselves trying to analyze data dispersed across numerous disparate sources, including databases, data warehouses, data…
Read MoreEmpowering Users to Mine the Data Lake, Energize a Data Catalog and Return Big ROI
As the Internet of Things (IoT), online platforms, and digital tracking of customers, assets, and stock levels begin to proliferate, so does…
Read MoreKey Criteria For Evaluating Data Catalogs
Data catalogs have come of age. In the present technology environment, where data is fragmented, spread, and distributed everywhere; across corporate data…
Read MoreEnterprise Data Governance with Modern Data Catalog Platforms
Data catalogs, a category of product in the broad field of data governance, are emerging in popularity. That popularity has been brought…
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