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Delta Lake

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163
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Kylo

13
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Delta Lake vs Kylo: What are the differences?

What is Delta Lake? Reliable Data Lakes at Scale. An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.

What is Kylo? Open-source data lake management software platform. 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.

Delta Lake and Kylo belong to "Big Data Tools" category of the tech stack.

Some of the features offered by Delta Lake are:

  • ACID Transactions
  • Scalable Metadata Handling
  • Time Travel (data versioning)

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

  • 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

Delta Lake and Kylo are both open source tools. Delta Lake with 1.87K GitHub stars and 363 forks on GitHub appears to be more popular than Kylo with 744 GitHub stars and 358 GitHub forks.

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What is Delta Lake?

An open-source storage layer that brings ACID transactions to Apache Spark™ and big data workloads.

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.

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What tools integrate with Delta Lake?
What tools integrate with Kylo?
What are some alternatives to Delta Lake and Kylo?
Snowflake
Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.
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.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
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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