Software Alternatives, Accelerators & Startups

data.world VS Flookup

Compare data.world VS Flookup and see what are their differences

data.world logo data.world

The social network for data people

Flookup logo Flookup

Fuzzy lookup, highlight and remove duplicates from your datasets
  • data.world Landing page
    Landing page //
    2023-09-26
  • 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

data.world

Website
data.world
$ Details
-
Platforms
-
Release Date
2015 January
Startup details
Country
United States
State
Texas
City
Austin
Founder(s)
Brett Hurt
Employees
50 - 99

Flookup

$ Details
paid Free Trial $50.0 / Annually (Flookup Professional | 01 User)
Platforms
Browser Web Cross Platform
Release Date
2018 April

data.world 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

Category Popularity

0-100% (relative to data.world and Flookup)
Data Dashboard
100 100%
0% 0
Data Cleansing
0 0%
100% 100
Data Integration
100 100%
0% 0
Spreadsheets
0 0%
100% 100

Questions and Answers

As answered by people managing data.world 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

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Reviews

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

data.world Reviews

We have no reviews of data.world yet.
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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.

    ๐Ÿ Competitors: FuzzyWuzzy
    ๐Ÿ‘ Pros:    Fast|Easy to use|Accurate|Dynamic
    ๐Ÿ‘Ž 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.

Social recommendations and mentions

Based on our record, data.world seems to be more popular. It has been mentiond 24 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.

data.world mentions (24)

  • Is data at every company still an absolute mess?
    I'll be sure to check out data.world propose to use it if it makes sense, thanks. Source: about 1 year ago
  • GIS data for a project. I apologize for the banality of my request and for my English.
    Just google qgis datasets. There are so so many interesting sets you will find. Check out qgis.org, or data.world for starters. Source: over 1 year ago
  • Best way to open source a my dataset?
    But, I'm also aware that there are dedicated platforms to catalog and share data (e.g. https://www.dolthub.com/, https://data.world/), and that uploading data on Github, in general, doesn't seem best practise. Source: over 1 year ago
  • Alation vs. Atlan vs. Collibra
    The client is considering the 3 I mentioned, plus data.world. I need to research that one next. Microsoft Purview has already been considered. Source: over 1 year ago
  • Looking for christmas cost dataset by year and country.
    Im looking for Christmas cost dataset by year and country, Im looking in the data.world and other web pages and I cant found anything. Source: over 1 year ago
View more

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 data.world and Flookup, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

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

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

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

Trustgrid Data Mesh Platform - A number of software providers have moved to Data Mesh connectivity solutions as they seek to lower the operating costs of their applications.

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