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Compare Apache Beam vs SparkLight

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Overview

Description

Apache Beam is an advanced open-source unified programming model, specifically designed for defining both batch and streaming data-parallel processing pipelines. It supports data sets of ... Read More

SparkLight offers a streamlined process to quickly gain AI-driven intelligence that can help you make better business decisions. Its powerful AI platform gives you the tools to uncover ... Read More

Entry Level Pricing
  • Not Available
  • Starts from $199 , Billed Yearly
Free Trial Availability
  • No free trial
User Ratings
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Software Demo

Demo

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Features

Total Features

5 Features

2 Features

Unique Features
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      Pricing

      Pricing Option
          Starting From
          • Not Available
          • $199 , Billed Yearly
          Pricing Plans
          • Not Available
          • Individual

            • Start discovering and exploring patterns in your data for actionable business insights.

          • Team

            • Explorers have full access to insight discovery, plus collaboration capabilities.

            • Viewers can see projects and reports that are shared with them. For every Explorer, you are allowed 3 free Viewer accounts.

          • Enterprise

            • Empower your entire organization with advanced insight and collaboration capabilities.

            • Please contact us for customization and pricing information.

          Other Details

          Organization Types supported
          • Small Business
          • Freelancers
          • Large Enterprises
          • Medium Business
          • Individuals
          • Small Business
          • Freelancers
          • Large Enterprises
          • Medium Business
          • Individuals
          Platforms Supported
          • Installed - Windows
          • Browser Based (Cloud)
          • Mobile - iOS
          • Mobile - Android
          • Mobile - Windows
          • Installed - Mac
          • Mobile - BlackBerry
          • Browser Based (Cloud)
          • Installed - Windows
          • Browser Based (Cloud)
          • Mobile - iOS
          • Mobile - Android
          • Mobile - Windows
          • Installed - Mac
          • Mobile - BlackBerry
          • Browser Based (Cloud)
          Modes of support
          • 24/7 (Live rep)
          • Business Hours
          • Online
          • 24/7 (Live rep)
          • Business Hours
          • Online
          API Support
          • Available
          • Not Available
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          User Reviews

          User Ratings

          No reviews available for the product

          Rating Distribution

          Excellent

          18

          Very Good

          2

          Good

          0

          Poor

          0

          Terible

          0

          No reviews available for the product

          Positive Reviews

          No reviews available for the product

          No reviews available for the product

          Media and Screenshots

          Videos
          video-0

          3 Videos

          video-0

          2 Videos

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          Frequently Asked Questions (FAQs)

          Stuck on something? We're here to help with all the questions and answers in one place.

          SparkLight offers Free Trial, but Apache Beam does not.

          Apache Beam is designed for Large Enterprises, Medium Business and Small Business.

          SparkLight is designed for Large Enterprises, Medium Business and Small Business.

          The starting price of SparkLight begins at $199/User/Month when Billed Yearly, while pricing details for Apache Beam are unavailable.

          Some top alternatives to Apache Beam includes Spark NLP, Ascend, Qualified, Pluralsight Flow, Workvivo, Seqera Labs, SparkLight, Confluent, Datos Intelligence, Lenses, Databricks and Dataform.

          Some top alternatives to SparkLight includes involve.ai, Veritone Discovery, Easy Insight, Askdata, Qualified, Insight7, Workvivo, AI Surge, now ai and Data Suisse.

          Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].