Software Alternatives & Reviews

Plaid VS Azure Databricks

Compare Plaid VS Azure Databricks and see what are their differences

Plaid logo Plaid

Infrastructure that powers financial technology by enabling applications to connect with users' bank accounts.

Azure Databricks logo Azure Databricks

Azure Databricks is a fast, easy, and collaborative Apache Spark-based big data analytics service designed for data science and data engineering.
  • Plaid Landing page
    Landing page //
    2023-01-12
  • Azure Databricks Landing page
    Landing page //
    2023-04-02

Plaid videos

Plaid - Polymer (Album Review)

More videos:

  • Review - BBC x Adidas PHARRELL Human Race NMD Trail Plaid Review & On Feet
  • Review - Iron Clays Poker Chips and Plaid Deck Review - Poker Gift Guide

Azure Databricks videos

Azure Databricks is Easier Than You Think

More videos:

  • Review - Ingest, prepare & transform using Azure Databricks & Data Factory | Azure Friday
  • Review - Azure Databricks - What's new! | DB102

Category Popularity

0-100% (relative to Plaid and Azure Databricks)
Personal Finance
100 100%
0% 0
Technical Computing
0 0%
100% 100
Other Fin Tech
100 100%
0% 0
Business & Commerce
0 0%
100% 100

User comments

Share your experience with using Plaid and Azure Databricks. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Plaid and Azure Databricks

Plaid Reviews

Top 20 Best Plaid Alternatives in 2022
When you use the platform’s main features and a live set of API keys, you don’t have to pay anything upfront. Plaid is an all-in-one financial solution that lets you build your own financial services. The program includes classified transaction data, account login, optimized mobile forms, an ACH authentication tool, form autofill, income validation, and custom integration,...

Azure Databricks Reviews

10 Best Big Data Analytics Tools For Reporting In 2022
Azure Databricks is a data analytics tool optimized for Microsoft’s Azure cloud services solution. It provides three development environments for data-intensive apps, namely Databricks SQL, Databricks Machine Learning, and Databricks Data Science & Engineering.The platform supports languages including Python, Java, R, Scala, and SQL, plus data science frameworks and...
Source: theqalead.com

Social recommendations and mentions

Based on our record, Plaid seems to be a lot more popular than Azure Databricks. While we know about 78 links to Plaid, we've tracked only 2 mentions of Azure Databricks. 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.

Plaid mentions (78)

  • Can someone's Venmo/PayPal balance be approved to show up in a 3rd party app?
    Oh this is a https://plaid.com/ use case I think. - Source: Hacker News / 9 months ago
  • Need help finding simulation business bank accounts + credit cards
    My company made a financial dashboard for small businesses that aggregates information from financial institutions into a simplified view. The problem I need to solve: our only way of showing what it looks like when in use, is by connecting our own bank accounts + credit cards, but of course that exposes our personal info. I'd like to setup a demo account using fake financial data that simulates a real world... Source: 10 months ago
  • Need A Solution to Amex Business Credit Card Data
    I have been looking into this and found Plaid, Yodlee, and Flinks. I am not 100% if any of these will work. Source: 11 months ago
  • (Canada) Does anyone know of an API service that will users to connect with their personal bank and return things like their bank feed?
    Yeah I fully expect to pay, but I am sure there are companies that do this. It's simply reading data, I am not touching anything within the user's bank account. Places like Australia are quite big on open banking I believe, that allows, with proper verification, to access bank account information. I've just found one company plaid.com, it doesn't have all the institutions I was hoping for but the majority of big... Source: 11 months ago
  • Intuits Mint is garbage this year, need other recs for tracking expenses.
    Switching platforms won't help. Every money visualization app on the market uses plaid to fetch their data, so every app will have the same data quality issues. Source: 11 months ago
View more

Azure Databricks mentions (2)

  • Top 30 Microsoft Azure Services
    In the big data space, Azure offers Azure Databricks. This is an Apache Spark big data analytics and machine learning service over a Distributed File System. The distributed cluster of nodes running analytics and AI operations in parallel allow for fast processing of large volumes of data and integration with popular machine learning libraries such as PyTorch unleash endless possibilities for custom ML. - Source: dev.to / almost 3 years ago
  • ZooKeeper-free Kafka is out. First Demo
    https://azure.microsoft.com/en-us/services/databricks. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing Plaid and Azure Databricks, you can also consider the following products

Verafin - Verafin provides compliance, anti-money laundering, and fraud detection software.

IBM Cloud Pak for Data - Move to cloud faster with IBM Cloud Paks running on Red Hat OpenShift – fully integrated, open, containerized and secure solutions certified by IBM.

QuoteMedia - Financial web tools that allow users to access real-time​ stock quotes, with live charts and NASDAQ level 2 data.

MicroStrategy - MicroStrategy is a cloud-based platform providing business intelligence, mobile intelligence and network applications.

Digital Insight - Digital Insight provides digital banking solutions to mid-market banks and credit unions.

Arcadia Enterprise - Arcadia Enterprise is the ultimate native BI for data lakes with real-time streaming visualizations, all without adding hardware or moving data.