Big Data Integration Platforms Resources
Articles, Glossary Terms, Discussions, and Reports to expand your knowledge on Big Data Integration Platforms
Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts, feature definitions, discussions from users like you, and reports from industry data.
Big Data Integration Platforms Articles
G2 Launches New Category for DataOps Platforms
Every transaction that we make creates data. From swiping your card while going grocery shopping, to closing a billion-dollar merger, each transaction creates several data points across the digital ecosystem. Although this is unstructured data, it's how we use these billions of data points to create and derive information that forms the underlying structure of data management and data science. Data value needs to be delivered to businesses as soon as possible, and converting this value into actionable insights is critical.
by Preethica Furtado
Big Data Integration Platforms Glossary Terms
Big Data Integration Platforms Discussions
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Question on: Matillion
What is Matillion ETL used for?What is Matillion ETL used for?
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ETL is central to data engineering, but legacy tools keep teams tied to code. Matillion’s Data Productivity Cloud powers Maia, the first true agentic data team, applying AI to modern ETL workflows. Maia autonomously builds, validates, and optimizes pipelines end-to-end, handling extraction, transformation, and loading across cloud platforms. Governance and security are embedded throughout, while failures are predicted and prevented proactively. Teams gain faster, more reliable delivery of trusted data, freeing engineers to focus on strategic projects rather than repetitive coding. Decision-makers get actionable insights sooner, and organizations can scale analytics and AI initiatives without bottlenecks. With Maia, ETL becomes a growth driver, not a maintenance burden.
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Question on: Cloudera Data Platform
What is Cloudera used for?What is Cloudera used for?
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Cloudera supports distributed processing using Apache Spark, Hive, and YARN, enabling fast processing of very large datasets.
Use cases
Batch processing and ETL (extract, transform, load)
Large‑scale data transformations
Log and event data processing
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Question on: Sesame Software
What is Relational Junction used for?What is Relational Junction used for?
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Relational Junction is utilized for secure and efficient integration and replication of data, seamlessly connecting various sources across cloud, hybrid, and on-premise environments. Its patented scalability guarantees extensive access to essential business data, allowing for a comprehensive view within chosen BI tools.
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Big Data Integration Platforms Reports
Grid® Report for Big Data Integration Platforms
Spring 2026
G2 Report: Grid® Report
Momentum Grid® Report for Big Data Integration Platforms
Spring 2026
G2 Report: Momentum Grid® Report
Enterprise Grid® Report for Big Data Integration Platforms
Spring 2026
G2 Report: Grid® Report
Momentum Grid® Report for Big Data Integration Platforms
Winter 2026
G2 Report: Momentum Grid® Report
Enterprise Grid® Report for Big Data Integration Platforms
Winter 2026
G2 Report: Grid® Report
Grid® Report for Big Data Integration Platforms
Winter 2026
G2 Report: Grid® Report
Momentum Grid® Report for Big Data Integration Platforms
Fall 2025
G2 Report: Momentum Grid® Report
Grid® Report for Big Data Integration Platforms
Fall 2025
G2 Report: Grid® Report
Enterprise Grid® Report for Big Data Integration Platforms
Fall 2025
G2 Report: Grid® Report


