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A powerful tool to clean, transform, and prepare data of any size
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What is Bumblebee?

It is the easiest and most powerful tool to clean, transform, and prepare data of any size for Analysis, Visualization, Reporting, and Machine Learning. All in a spreadsheet-like interface.
Bumblebee is a tool in the Big Data Tools category of a tech stack.
Bumblebee is an open source tool with 121 GitHub stars and 32 GitHub forks. Here’s a link to Bumblebee's open source repository on GitHub

Who uses Bumblebee?


Bumblebee Integrations

Bumblebee's Features

  • Explore data using an ergonomic UI
  • Clean and transform datasets with more than 100 functions available
  • Prepare data for Machine Learning
  • Join and concatenate your datasets with a visual interface

Bumblebee Alternatives & Comparisons

What are some alternatives to Bumblebee?
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.
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
Apache Flink
Apache Flink is an open source system for fast and versatile data analytics in clusters. Flink supports batch and streaming analytics, in one system. Analytical programs can be written in concise and elegant APIs in Java and Scala.
Apache Hive
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.
See all alternatives
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