What is Trifacta?
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
Trifacta is a tool in the Big Data Tools category of a tech stack.
Trifacta is an open source tool with GitHub stars and GitHub forks. Here’s a link to Trifacta's open source repository on GitHub
Who uses Trifacta?
13 developers on StackShare have stated that they use Trifacta.
Microsoft Azure, Google Cloud Storage, Tableau, Snowflake, and AWS Data Pipeline are some of the popular tools that integrate with Trifacta. Here's a list of all 9 tools that integrate with Trifacta.
- Interactive Exploration
- Automated visual representations of data based upon its content in the most compelling visual profile
- Predictive Transformation
- Intelligent Execution
- Collaborative Data Governance.
Trifacta Alternatives & Comparisons
What are some alternatives to Trifacta?
See all alternatives
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.
It is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
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.