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Datameer
Datameer

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Explore
Explore

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Datameer vs Explore: What are the differences?

Datameer: * Self-service data integration, preparation, analytics and visualization. It is a single application that helps you get any data into Hadoop, bring it together, analyze it, and visualize it as quickly and easily as possible. No coding required. Everything in it is self-service and intuitive, from our wizard-based data integration, to a spreadsheet with point-and-click analytics, to our blank canvas to for building custom visualizations; *Explore:** Free chart maker & visual exploration for spreadsheet data. It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.

Datameer and Explore can be categorized as "Business Intelligence" tools.

Some of the features offered by Datameer are:

  • Data integration
  • Data visualization
  • Dynamic data management

On the other hand, Explore provides the following key features:

  • Free online chart maker
  • Visual data exploration tool for all your spreadsheet data
  • Runs locally in your browser
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What is Datameer?

It is a single application that helps you get any data into Hadoop, bring it together, analyze it, and visualize it as quickly and easily as possible. No coding required. Everything in it is self-service and intuitive, from our wizard-based data integration, to a spreadsheet with point-and-click analytics, to our blank canvas to for building custom visualizations.

What is Explore?

It is a free online chart maker & visual data exploration tool for all your spreadsheet data (Excel, CSV, Google Sheets). It runs locally in your browser, and does not store your data in our servers - so, your data is absolutely safe.
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            What are some alternatives to Datameer and Explore?
            Tableau
            Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
            Apache Spark
            Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
            Metabase
            It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
            Metabase
            It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.
            Amazon Athena
            Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
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