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Azure Databricks VS Flookup

Compare Azure Databricks VS Flookup and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

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.

Flookup logo Flookup

Fuzzy lookup, highlight and remove duplicates from your datasets
  • Azure Databricks Landing page
    Landing page //
    2023-04-02
  • Flookup Landing page
    Landing page //
    2020-11-16

Flookup is lightweight data cleaning suite for Google Sheets. It can be used to:

  • Remove duplicates based on text similarity
  • Highlight duplicates based on text similarity
  • Fuzzy lookup or merge data
  • Extract unique values from fuzzy duplicates
  • Calculate percentage similarities between text entries
  • Remove unwanted words, diacritics and punctuation marks

Azure Databricks

Website
azure.microsoft.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-
Edit details

Flookup

Website
getflookup.com
Pricing URL
Official Flookup Pricing
$ Details
paid Free Trial $85.0 / Annually (Flookup Professional | 01 User)
Platforms
Browser Web Cross Platform
Release Date
2018 April
Edit details

Azure Databricks features and specs

No features have been listed yet.

Flookup features and specs

  • Unlimited data ingestion: Yes
  • Fuzzy matching: Yes
  • Removing duplicates: Yes
  • Highlighting duplicates: Yes

Azure Databricks videos

+ Add

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

Flookup videos

No Flookup videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Azure Databricks and Flookup)

Azure Databricks

Flookup

Technical Computing
100 100%
Technical Computing
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
Data Cleansing
0 0%
Data Cleansing
100% 100

Questions and Answers

As answered by people managing Azure Databricks and Flookup.

Which are the primary technologies used for building your product?

Flookup's answer:

  • Google Apps Script
  • Google Sheets
  • Google Firebase

Why should a person choose your product over its competitors?

Flookup's answer:

  • It comes with built-in privacy.
  • It is very fast and efficient.
  • It is easy to use and intuitive.
  • It is safe to use with its instant "backup and restore" feature-by-affiliation.
  • It comes with a lifetime of upgrades.
  • It is very affordable.

What's the story behind your product?

Flookup's answer:

Flookup was created out of necessity. I was part of a team working on a project that involved cleaning and standardising thousands of rows of data. This data was some of the "dirtiest" we had ever come across and the process of cleaning it usually took about a week for each team member to complete manually. It took a few attempts but, eventually, I was able to develop a usable version of Flookup... and its impact was so significant that our task times were reduced to an average of 30 minutes, with our error rate never exceeding 1% after that.

How would you describe your primary audience?

Flookup's answer:

  • Data Analysts
  • Data Scientists
  • Statisticians
  • Librarians
  • Data Entry Clerks
  • Sales professionals

Who are some of the biggest customers of your product?

Flookup's answer:

  • ComX
  • Shopify
  • Salesforce
  • Zillow

What makes your product unique?

Flookup's answer:

Flookup features an intuitive set of functions and a finetuned fuzzy matching algorithm capable of tackling the most challenging and untidy datasets found online. It has excelled not only in Western projects but also in projects across Africa, South America and even those involving Asian languages like Chinese.

User comments

Share your experience with using Azure Databricks and Flookup. For example, how are they different and which one is better?
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Reviews

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

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

Flookup Reviews

  1. Great time saver!

    Flookup helps complete laborious fuzzy matching or lookup tasks quickly and efficiently. It is also the most affordable deduping solution online; useful for removing or highlighting duplicates from mailing lists, contacts and leads.

    🏁 Competitors: FuzzyWuzzy
    👍 Pros:    Fast|Easy to use|Accurate|Dynamic
    👎 Cons:    Requires an internet connection
HIGHLIGHTING DUPLICATES: GOOGLE SHEETS VS FLOOKUP
The result will be duplicates that have been identified despite differences in spelling. Please note that you can also choose to highlight duplicates by sound similarity by clicking Extensions > Flookup > Highlight duplicates > By sound and following steps similar to the ones above.
Source: www.getflookup.com

Social recommendations and mentions

Based on our record, Azure Databricks seems to be more popular. It has been mentiond 2 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.

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

Flookup mentions (0)

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

What are some alternatives?

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

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.

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

MyAnalytics - MyAnalytics, now rebranded to Microsoft Viva Insights, is a customizable suite of tools that integrates with Office 365 to drive employee engagement and increase productivity.

Google Sheets + MonkeyLearn - Power up your Google Sheets with text analysis

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

SheetHacks by Polymer Search - Discover the best tips & tricks for Google Sheets & Excel

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