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Delta Lake VS Apache Kylin

Compare Delta Lake VS Apache Kylin and see what are their differences

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Delta Lake logo Delta Lake

Application and Data, Data Stores, and Big Data Tools

Apache Kylin logo Apache Kylin

OLAP Engine for Big Data
  • Delta Lake Landing page
    Landing page //
    2023-08-26
  • Apache Kylin Landing page
    Landing page //
    2023-06-29

Delta Lake videos

+ Add

A Thorough Comparison of Delta Lake, Iceberg and Hudi

More videos:

  • Tutorial - Delta Lake for apache Spark | How does it work | How to use delta lake | Delta Lake for Spark ACID
  • Review - ACID ORC, Iceberg, and Delta Lake—An Overview of Table Formats for Large Scale Storage and Analytics

Apache Kylin videos

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Extreme OLAP Analytics with Apache Kylin - Big Data Application Meetup

More videos:

  • Review - Apache Kylin: OLAP Cubes for NoSQL Data stores
  • Review - Installing Apache Kylin in Cloudera Quickstart VM Sandbox

Category Popularity

0-100% (relative to Delta Lake and Apache Kylin)

Delta Lake

Apache Kylin

Development
100 100%
Development
0% 0
Databases
54 54%
Databases
46% 46
Office & Productivity
100 100%
Office & Productivity
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Delta Lake and Apache Kylin. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Delta Lake seems to be a lot more popular than Apache Kylin. While we know about 31 links to Delta Lake, we've tracked only 1 mention of Apache Kylin. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Delta Lake mentions (31)

  • Delta Lake vs. Parquet: A Comparison
    Delta is pretty great, let's you do upserts into tables in DataBricks much easier than without it. I think the website is here: https://delta.io. - Source: Hacker News / 4 months ago
  • Getting Started with Flink SQL, Apache Iceberg and DynamoDB Catalog
    Apache Iceberg is one of the three types of lakehouse, the other two are Apache Hudi and Delta Lake. - Source: dev.to / 5 months ago
  • [D] Is there other better data format for LLM to generate structured data?
    The Apache Spark / Databricks community prefers Apache parquet or Linux Fundation's delta.io over json. Source: 5 months ago
  • Databricks Strikes $1.3B Deal for Generative AI Startup MosaicML
    Databricks provides Jupyter lab like notebooks for analysis and ETL pipelines using spark through pyspark, sparkql or scala. I think R is supported as well but it doesn't interop as well with their newer features as well as python and SQL do. It interfaces with cloud storage backend like S3 and offers some improvements to the parquet format of data querying that allows for updating, ordering and merged through... - Source: Hacker News / 11 months ago
  • The "Big Three's" Data Storage Offerings
    Structured, Semi-structured and Unstructured can be stored in one single format, a lakehouse storage format like Delta, Iceberg or Hudi (assuming those don't require low-latency SLAs like subsecond). Source: 11 months ago
View more

Apache Kylin mentions (1)

  • Apache Kafka Use Cases: When To Use It & When Not To
    A Kafka-based data integration platform will be a good fit here. The services can add events to different topics in a broker whenever there is a data update. Kafka consumers corresponding to each of the services can monitor these topics and make updates to the data in real-time. It is also possible to create a unified data store through the same integration platform. Developers can implement a unified store either... - Source: dev.to / over 1 year ago

What are some alternatives?

When comparing Delta Lake and Apache Kylin, you can also consider the following products

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Spring Batch - Level up your Java code and explore what Spring can do for you.

GeoSpock - GeoSpock is the platform for data lake management, providing a unified view of the data assets within an organization and making it easily accessible.

Apache Druid - Fast column-oriented distributed data store

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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