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 Data Pipelines
Today’s organizations are grappling with a growing volume of data—data of various types and formats that are stored in an increasing number…
Read MoreGigaOm Radar for Data Science
As an enterprise area of focus, data science is one of the more sophisticated facets of data analytics. It requires the basics…
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…
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Commissioned Research
Log 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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Commissioned Research
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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Commissioned Research
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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Commissioned Research
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…
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Commissioned Research
Enterprise 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…
Read MoreKey Criteria for Evaluating Intelligent Virtual Assistants
Intelligent virtual assistant (IVA) technology has transformed automated telephone response systems, such as those typically used in call centers for the first…
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Commissioned Research
SQL Transaction Processing and Analytic Performance Price-Performance Testing
The fundamental underpinning of an organization is its transactions. They must be done well, with integrity and performance. Not only has transaction…
Read MoreGigaOm Radar for Data Science Platforms: Cloud Providers, Data Platform Vendors, and Enterprise Incumbents
This Radar report will help enterprise buyers become familiar with data science platforms and vendor offerings. Most enterprise organizations now work with…
Read MoreGigaOm Radar for Data Science Platforms: Pure-Play Specialist and Startup Vendors
This Radar report will help enterprise buyers become familiar with data science platforms and vendor offerings. Enterprise customers manage massive amounts of…
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Commissioned Research
Ransomware: Why It’s Time to Think of it as a Data Management Problem
Over the last couple of years, ransomware has taken center stage in data protection, but very few people realize it is only…
Read MoreGigaOm Radar for Streaming Data Platforms: Streaming Data Specialist Vendors
This Radar report will help enterprise buyers become familiar with streaming data platforms and vendor offerings. The vendors reviewed in this Radar…
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