I just returned from SAP Sapphire 2025 in Orlando, and while SAP painted a compelling vision of an AI-powered future, I…
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Commissioned Research
GigaOm Benchmark Report: SAP Build vs Custom Development
This GigaOm Benchmark report commissioned by SAP. In this GigaOm benchmark study, we compared SAP Build to a traditional custom development…
Read MorePreparing for a Billion Developers
With the vision of a billion developers, AI is evolving from a specialized tool to a platform that democratizes coding. As…
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GigaOm Radar for Data Catalogs
Data catalogs house the operational, technical, and business metadata used to describe, contextualize, and understand an organization’s data assets. These centralized…
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GigaOm Radar for Data Observability
Data observability platforms provide continual insight into the current health of an organization’s data to ensure it’s of high quality, fully…
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GigaOm Radar for Data Pipelines
Data pipelines are solutions that manage the movement and/or transformation of data, readying it for storage in a target repository and…
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Commissioned Research
CxO Decision Brief: Advancing Data Governance with Commvault Cloud Cleanroom Recovery
This GigaOm CxO Decision Brief was commissioned by Commvault. Data executives are primarily concerned with data management, emphasizing the governance, quality,…
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Commissioned Research
CxO Decision Brief: Data Fabric Solutions and SAP Datasphere
In the intricate landscape of modern data management, where information is strewn across cloud services and on-premises storage, the adoption of…
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GigaOm Radar for Data Catalogs
Data catalogs manage the metadata that helps users quickly understand what data is available for their particular application or inquiry. As…
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Key Criteria for Evaluating Data Catalog Solutions
Data catalogs are metadata repositories that contain everything organizations need to define, understand, contextualize, and act on their data in a…
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GigaOm Radar for Data Observability
As an enterprise discipline, data observability provides prolonged, up-to-the-moment status updates about the overall health of an organization’s data. It reinforces…
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Key Criteria for Evaluating Data Observability Solutions
Data observability provides details about the health of data throughout an organization. Although it’s a more recent development, this discipline is…
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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…
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GigaOm Radar for Data Governance
Data governance refers to the curation and protection of an organization’s data. In recent years, two market factors have reshaped data…
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GigaOm Radar for Data Catalogs
The heterogeneity of the data ecosystem is becoming increasingly complex. Organizations are grappling with a diversity of data models, schemas, taxonomies,…
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Key Criteria for Evaluating Data Catalog Solutions
Data catalogs are foundational for implementing the roles, responsibilities, and rules organizations establish to govern their data and enable its long-term…
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GigaOm 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…
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GigaOm 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…
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Key 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…
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Key Criteria for Evaluating Customer Engagement Platforms
Modern customer relationship management (CRM) systems are evolving from siloed, modular suites of applications into highly integrated customer engagement platforms (CEPs)…
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Key Criteria for Evaluating Data Pipelines
In a data-obsessed world, the ability to leverage data for quick business insights is vital. At the same time, organizations must…
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GigaOm Radar for Data Pipelines
In a data-obsessed world, dealing with big data has its advantages and challenges. In order to mitigate the challenges and make…
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GigaOm Radar for Data Governance Solutions
In the era of digital transformation, organizations employ analytics to gain and maintain a competitive edge by constantly improving the value…
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GigaOm Radar for Automated Machine Learning (AutoML)
Automated machine learning (AutoML) is regarded as a “quiet revolution” in AI. But what makes AutoML revolutionary is not just automation…
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