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 Kubernetes Data Protection
Kubernetes is the industry standard for container orchestration, and it’s being used by born-in-the-cloud startups and cloud-native enterprises alike. It’s found in…
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SQL Transaction Processing and Analytic Performance Price-Performance Testing
The fundamental underpinning of any organization is its transactions. They must be done well, with integrity and performance. Not only has transaction…
Read MoreGigaOm Radar for Hyperscale Compute Alternatives
Organizations today look to the cloud for their compute and data storage needs, embracing the public cloud for newly built cloud-native applications…
Read MoreGigaOm Radar for Hyperconverged Infrastructure: SMB Deployments
Hyperconvergence has quickly become a popular option for IT infrastructures, no matter the size of the company or the industry in which…
Read MoreGigaOm Radar for Primary Storage for Large Enterprises
Primary storage systems for large enterprises have adapted quickly to new needs and business requirements, with data now accessed from both on-premises…
Read MoreGigaOm Radar for Primary Storage for Midsize Businesses
Primary storage systems for midsize businesses have adapted quickly to new IT needs and business requirements, with data now accessed from both…
Read MoreGigaOm Radar for Primary Storage for Small Businesses
Primary storage systems for small businesses have adapted quickly to new needs and business requirements, with data now accessed from both on-premises…
Read MoreGigaOm Radar for User and Entity Behavior Analysis
Cybersecurity is a multidisciplinary practice experiencing a fast rate of change and growing complexity. In response, vendors are evolving their technology at…
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 Radar for Enterprise Business Intelligence
Business intelligence (BI) is today’s key enabler for analyzing data, deriving business insights from it, and sharing and publicizing those insights within…
Read MoreGigaOm Radar for Self-Service Business Intelligence
In recent years, self-service business intelligence (SSBI) has become an increasingly important tool for organizations of all sizes. Unlike enterprise BI (EBI),…
Read MoreKey Criteria for Evaluating Business Intelligence Solutions
Business Intelligence (BI) as a paradigm and product category has been around for decades. Arguably, though, it is enjoying its greatest popularity,…
Read MoreGigaOm Radar for Data Virtualization: Enterprise Vendors
The biggest obstacle that organizations face in using data to achieve mission-critical goals is the sheer variation in datasets that they encounter…
Read MoreGigaOm Radar for Data Virtualization: Pure-Play Vendors
The most challenging aspect of leveraging data for contemporary organizations isn’t the enormous quantity of data or the real-time speeds at which…
Read MoreGigaOm Radar for Data Quality Platforms: Detection of Data Quality Issues
The success of any data-related project depends on the quality of data. Enterprise customers manage massive amounts of data, and it’s imperative…
Read MoreGigaOm Radar for Data Quality Platforms: Data Quality Remediation
Data quality reflects the completeness, accuracy, reliability, and related attributes of data. There are numerous platforms for managing data quality designed to…
Read MoreLog and Telemetry Analytics Performance Benchmark
The number of connected devices, including the machines, sensors, and cameras that make up the Internet of Things (IoT), continues to grow…
Read MoreKey Criteria for Evaluating Data Virtualization Solutions
The diversity of the data ecosystem within modern enterprises is one of the most difficult aspects of managing data today. Companies struggle…
Read MoreKey Criteria for Evaluating Data Quality Platforms
Data quality reflects the completeness, accuracy, consistency, usability, reliability, relevance, traceability, precision, statistical normality, verifiability, and error-free status of data. Poor data…
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GigaOm Use Case Scenario for Decentralized Object Storage for Video
In the media and entertainment (M&E) industry, video productions invest heavily in large-scale infrastructures to store vast amounts of data, both in…
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