Enterprises of every size are moving applications and infrastructure to the cloud. Maintaining operational awareness is difficult enough within a single cloud…
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GigaOm Radar for GitOps
In the GigaOm report “ Key Criteria for Evaluating GitOps Solutions,” we defined GitOps as “an approach to supporting continuous delivery that…
Read MoreGigaOm Radar for Extended Detection and Response (XDR) Solutions
Enterprise cybersecurity is typically composed of multiple security solutions from various vendors combined with a security information and event management (SIEM) and/or…
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Relational Databases in the Cloud: Masters of Federation
Relational database management systems (RDBMSes) have been around for a long time, and they are very much still with us. The on-premises…
Watch NowGigaOm Radar for DDI
An integrated DDI solution provides increased visibility into potential IP conflicts in real time, provides context for audits and reporting, offers a…
Read MoreGigaOm Radar for Security Information and Event Management
The security information and event management (SIEM) solution space is mature and competitive. Most vendors have had well over a decade to…
Read MoreKey Criteria for Evaluating Security Orchestration, Automation, and Response Solutions
Depending on the size of an organization, security information and event management (SIEM) tools can produce tens of thousands of alarms per…
Read MoreGigaOm Radar for Endpoint Detection and Response
The endpoint is, in some ways, an unusual problem forced upon organizations and security teams. Endpoints are portals through which sensitive data…
Read MoreGigaOm Radar for Evaluating Network as a Service
Modern networks must be agile and flexible. They must adapt to the rapidly shifting needs of the market and the enterprise. Conventional…
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…
Read MoreGigaOm Radar for AIOps Solutions
The last year proved to be one of explosive growth in AIOps tooling and solutions. Since our 2021 Radar report on AIOps,…
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Transactional and Analytical Workloads
Competitive data-driven organizations rely on data-intensive applications to win in the digital service economy. These applications require a robust data tier that can…
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The Data Warehouse in Multi-Cloud and Hybrid Cloud
Enterprises from every industry and at every scale continue to work to leverage data to achieve their strategic objectives—whether those are to…
Read MoreEnterprise Readiness of Cloud MLOps: A GigaOm Benchmark Report
MLOps is a practice for collaboration between data science and operations to manage the production machine learning (ML) lifecycles. As an amalgamation of machine learning…
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