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Big Data Software - Page 6

Last updated: April 2026

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131 software options

Diyotta logo
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Effortless Data Integration for Analytics Teams

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Diyotta is a data integration software that provides businesses with tools to automatically source, process, and analyze collected data on a centralized platform. Administrators can gain an overview of all synchronized data and variation trends through graphs & actionable analytics.

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Exponam logo
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Better Data

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The Exponam solution is a better way to share, move, store, and explore data. Use Exponam .BIG files with your existing technology architecture, in or out of the cloud, to make large and sensitive data exchange faster, more secure, and cheaper.

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Datazip logo
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No-code data engineering platform for data teams

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Datazip is a self-serve data engineering platform that helps analysts, operators, and data engineers streamline data centralization and visualization while gaining valuable insights. It includes ETL capabilities, a data warehouse, and versatile data transformation tools. Users can centralize, organize, and analyze as well as set up a data infrastructure to gain complete visibility into data pipelines.

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Kensho Link logo
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Machine learning solution to map entities in your database

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Kensho Link is a machine learning service that automates the process of entity linking with unique ID numbers drawn from S&P Global’s database to help clean up company databases and effeciently manage data integration and minimize manual processes.

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Kyligence Zen logo
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Next Generation Business and Decision Intelligence

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Kyligence Zen is the decision intelligence platform that provides accurate decision support for businesses, using one reliable source of metrics, designed for modern companies. It empowers decision makers with advanced, AI-powered business intelligence and data-driven decisions.

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Acceldata logo
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Data observability and agentic data management solution

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Acceldata helps enterprises run complex big data systems across clouds with efficiency and reliability. By improving visibility, performance, and costs, it turns large-scale data into a trusted asset that supports insights, growth, and AI readiness.

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