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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Commissioned Research
Analytics in the Cloud: Minimize Pain, Maximize Success
There can be no doubt: the cloud is king. Following the cautious, initial adoption of cloud services a few years ago, the…
Read MoreGigaOm Radar for Data Virtualization
Enterprises need a way to consolidate data from disparate sources without forcing assets to be physically moved or transformed. Data virtualization platforms provide this capability, while helping organizations manage, manipulate, and present a unified view of data to the downstream consumer. This GigaOm Radar report analyzes the top data virtualization platforms and provides IT decision makers the tools they need to assess an investment into a data virtualization solution.…
Read MoreGigaOm Radar for Video Conferencing Platforms
The world has changed. Almost overnight, the COVID-19 pandemic forced millions of workers worldwide out of their offices and into their dining…
Read MoreKey Criteria for Evaluating Data Virtualization
The runaway growth of data in the enterprise puts organizations in a tough spot. To help them manage, manipulate, query, and present a unified view of the data estate, organizations must turn to data virtualization platforms that help consolidate disparate data sources logically, without forcing data to be physically moved or transformed. This Key Criteria report explores the workings of solutions in this sector and provides guidance around key solution criteria and characteristics to drive better decision making.…
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Commissioned Research
Cloud Data Pipeline Services: Foundational Platforms with Expandable Capabilities
Cloud Data Pipelines have matured and evolved to meet the increasing volume, diversity, and velocity of data flowing through the enterprise. In this report, GigaOm Analysts Andrew Brust and Yiannis Antoniou explore the basics of data pipeline platforms, including their legacy as ETL products and their evolution to the modern era of cloud-based, ELT-supporting extensible frameworks. They then analyze cloud data pipeline services from Microsoft, Amazon, and Google—Azure Data Factory, AWS Glue and AWS Data Pipeline, and GCP Dataflow and GCP Cloud Data Fusion.…
Read MoreKey Criteria for Evaluating Video Conferencing Platforms
In the wake of the COVID-19 pandemic, organizations worldwide have scrambled to deploy and manage video conferencing platforms that have emerged as a strategic IT asset. This report explores the challenges facing IT decision makers, and explores the specific technologies and product criteria that are most important in assessing potential solutions.…
Read MoreGigaOm Radar for Cloud Database Platforms
Relational databases have been the enterprise’s go-to technology for storing transactional and analytical data for more than four decades. But as with…
Read MoreKey Criteria for Evaluating Cloud Database Platforms
For more than four decades, if an enterprise wanted to store transactional or analytical data, it would turn to a relational database.…
Read MoreGigaOm Radar for Evaluating Data Warehouse Platforms
For decades data warehouses have been the trusted technology for large-scale data storage and analytics in the enterprise. And that role has…
Read MoreKey Criteria for Evaluating Data Warehouses
Data warehouses have long been the enterprise’s trusted technology for large scale data storage and analytics. The platforms have become even more…
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