Software Alternatives, Accelerators & Startups

Flookup VS Quandl - Financial Data API

Compare Flookup VS Quandl - Financial Data API and see what are their differences

Flookup logo Flookup

Fuzzy lookup, highlight and remove duplicates from your datasets

Quandl - Financial Data API logo Quandl - Financial Data API

Financial Services
  • 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
  • Quandl - Financial Data API Landing page
    Landing page //
    2021-10-18

Flookup

$ Details
paid Free Trial $10.0 / Monthly (Flookup Standard | 01 User)
Platforms
Browser Web Cross Platform
Release Date
2018 April

Flookup features and specs

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

Quandl - Financial Data API features and specs

No features have been listed yet.

Category Popularity

0-100% (relative to Flookup and Quandl - Financial Data API)
Data Cleansing
100 100%
0% 0
Currency Exchange
0 0%
100% 100
Spreadsheets
100 100%
0% 0
Finance
0 0%
100% 100

Questions and Answers

As answered by people managing Flookup and Quandl - Financial Data API.

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 Flookup and Quandl - Financial Data API

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.

Quandl - Financial Data API Reviews

We have no reviews of Quandl - Financial Data API yet.
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