Software Alternatives & Reviews

HortonWorks Data Platform VS Delta Lake

Compare HortonWorks Data Platform VS Delta Lake and see what are their differences

HortonWorks Data Platform logo HortonWorks Data Platform

The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

Delta Lake logo Delta Lake

Application and Data, Data Stores, and Big Data Tools
  • HortonWorks Data Platform Landing page
    Landing page //
    2023-09-28
  • Delta Lake Landing page
    Landing page //
    2023-08-26

HortonWorks Data Platform videos

Why You Need Hortonworks Data Platform 3.0

More videos:

  • Review - Hortonworks Data Platform 3.0 – Faster, Smarter, Hybrid Data

Delta Lake videos

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

Category Popularity

0-100% (relative to HortonWorks Data Platform and Delta Lake)
Data Dashboard
63 63%
37% 37
Development
39 39%
61% 61
Big Data
100 100%
0% 0
Office & Productivity
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Delta Lake seems to be a lot more popular than HortonWorks Data Platform. While we know about 31 links to Delta Lake, we've tracked only 1 mention of HortonWorks Data Platform. 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.

HortonWorks Data Platform mentions (1)

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 / 3 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 / 10 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
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What are some alternatives?

When comparing HortonWorks Data Platform and Delta Lake, you can also consider the following products

Google Cloud Dataproc - Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost

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

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

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.

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

Cloud Dataprep - Cloud Dataprep by Trifacta is a data prep & cleansing service for exploring, cleaning & preparing datasets using a simple drag & drop browser environment