Software Alternatives, Accelerators & Startups

Altair Monarch VS Delta Lake

Compare Altair Monarch VS Delta Lake and see what are their differences

Altair Monarch logo Altair Monarch

Altair Monarch is a self-service data preparation software that streamlines both reporting and analytics processes.

Delta Lake logo Delta Lake

Application and Data, Data Stores, and Big Data Tools
  • Altair Monarch Landing page
    Landing page //
    2023-01-22
  • Delta Lake Landing page
    Landing page //
    2023-08-26

Altair Monarch videos

Altair Monarch

More videos:

  • Review - Daily Debit Reconciliation Using Altair Monarch™

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 Altair Monarch and Delta Lake)
Data Dashboard
59 59%
41% 41
Development
0 0%
100% 100
Office & Productivity
57 57%
43% 43
Data Extraction
100 100%
0% 0

User comments

Share your experience with using Altair Monarch and Delta Lake. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Delta Lake seems to be more popular. It has been mentiond 31 times since March 2021. 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.

Altair Monarch mentions (0)

We have not tracked any mentions of Altair Monarch yet. Tracking of Altair Monarch recommendations started around Mar 2021.

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

What are some alternatives?

When comparing Altair Monarch and Delta Lake, you can also consider the following products

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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

Trifacta - Data Transformation Platform.

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

Tableau Prep - Tableau Prep is comprised of two products: Prep Builder and Prep Conductor.

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.