Flookup
Google Sheets + MonkeyLearn
FuzzyWuzzy
SheetHacks by Polymer Search
Textalytic
Phiona.com
SyncWith for Google Sheets
Logic Sheet
acho.io
Predictly.co
LabelMe Annotation Tool
Airtable
Annotate
HelloGuru
Workstream.io
Glui
Flookup is lightweight data cleaning suite for Google Sheets. It can be used to:
Acho is a data platform for integrating, transforming, and analyzing data from flat files, databases and apps with no coding required. Connect data with hundreds of millions of rows, and update it for real time analytic dashboards, applications and third party integrations.
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Flookup's answer
Flookup's answer
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.
Flookup's answer
Flookup's answer
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.
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.
I use Acho for storing and editing my data files. It's amazingly fast, and intuitive to use. The dashboard is still in beta but works pretty well with the data sync feature.
Based on our record, acho.io 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.
The company I work at called Acho built a solution that combines ETL + DW + DMBS. If your data needs to be consumed by end production beyond SQL queries (BI, spreadsheets, reports, distribution...), it could be pretty powerful. It all depends on the production goal. If you simply want data on cloud, you probably wouldn't even need replication. Source: over 2 years ago
I'd probably consider an online DB GUI like Acho for this. Not sure if they connect with Azure Blob directly. Then your stack can be BLOB landing --> Matillion 'ELT' --> Snowflake tables ---> versioned table for each team member on Acho ---> Extracts by end users (no SQL needed). Source: over 2 years ago
Google Sheets + MonkeyLearn - Power up your Google Sheets with text analysis
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FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
LabelMe Annotation Tool - LabelMe is an annotation tool writen in Javascript and Perl for online image labeling.
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Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
