What is Kylo?
It is an open source enterprise-ready data lake management software platform for self-service data ingest and data preparation with integrated metadata management, governance, security and best practices inspired by Think Big's 150+ big data implementation projects.
Kylo is a tool in the Big Data Tools category of a tech stack.
Kylo is an open source tool with 840 GitHub stars and 422 GitHub forks. Here’s a link to Kylo's open source repository on GitHub
Who uses Kylo?
10 developers on StackShare have stated that they use Kylo.
Pros of Kylo
Be the first to leave a pro
- Self-service data ingest with data cleansing, validation, and automatic profiling
- Wrangle data with visual sql and an interactive transform through a simple user interface
- Search and explore data and metadata, view lineage, and profile statistics
- Monitor health of feeds and services in the data lake. Track SLAs and troubleshoot performance
Kylo Alternatives & Comparisons
What are some alternatives to Kylo?
See all alternatives
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.
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.
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.
Hive facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. Structure can be projected onto data already in storage.