Apache Hive vs Trifacta: What are the differences?
Apache Hive: Data Warehouse Software for Reading, Writing, and Managing Large Datasets. Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage; Trifacta: Develops data wrangling software for data exploration and self-service data preparation for analysis. It is an Intelligent Platform that Interoperates with Your Data Investments. It sits between the data storage and processing environments and the visualization, statistical or machine learning tools used downstream.
Apache Hive and Trifacta can be primarily classified as "Big Data" tools.
Some of the features offered by Apache Hive are:
- Built on top of Apache Hadoop
- Tools to enable easy access to data via SQL
- Support for extract/transform/load (ETL), reporting, and data analysis
On the other hand, Trifacta provides the following key features:
- Interactive Exploration
- Automated visual representations of data based upon its content in the most compelling visual profile
- Predictive Transformation
Apache Hive is an open source tool with 2.71K GitHub stars and 2.65K GitHub forks. Here's a link to Apache Hive's open source repository on GitHub.
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