Software Alternatives, Accelerators & Startups

Microsoft Office Access VS Delta Lake

Compare Microsoft Office Access VS Delta Lake and see what are their differences

Microsoft Office Access logo Microsoft Office Access

Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

Delta Lake logo Delta Lake

Application and Data, Data Stores, and Big Data Tools
  • Microsoft Office Access Landing page
    Landing page //
    2023-07-21
  • Delta Lake Landing page
    Landing page //
    2023-08-26

Microsoft Office Access videos

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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 Microsoft Office Access and Delta Lake)
Databases
83 83%
17% 17
Development
48 48%
52% 52
NoSQL Databases
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 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.

Microsoft Office Access mentions (0)

We have not tracked any mentions of Microsoft Office Access yet. Tracking of Microsoft Office Access 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 / 5 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 / 6 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: 6 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 / 12 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: about 1 year ago
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What are some alternatives?

When comparing Microsoft Office Access and Delta Lake, you can also consider the following products

LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

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

My Visual Database - Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.

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.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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