This Radar report will help enterprise buyers become familiar with non-relational or NoSQL databases and vendor offerings. SQL stands for structured…
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Key Criteria for Evaluating Cloud and Operational Database Solutions
Operational databases are the lifeblood of business computing and serve as the primary source of data used in analytics and machine…
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Dealing with Data System Complexity in Your Applications
Organizations build applications with transactional/operational databases, analytical databases, and business intelligence. Transactions happen at all hours and come from various sources.…
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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 Machine Learning Operations
Machine learning operations (MLOps) solutions streamline machine learning (ML) model development, deployment, and governance, enabling production ML at scale. They simplify…
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Key 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…
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GigaOm 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…
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GigaOm 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…
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Key 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…
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GigaOm 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…
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GigaOm 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…
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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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The Business Case for Data Fabric
The essential role of integration in your data fabric design
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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…
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Key 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…
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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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GigaOm Solution Profile: Sumo Logic
Sumo Logic Cloud SOAR is a comprehensive security orchestration, automation, and response platform that leverages AI and ML technologies for intelligent…
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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…
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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…
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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…
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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…
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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…
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