* Up to 10 columns and 250 rows
** Larger than 10 columns or 250 rows
The Starter Plan
Perfect if you only need to clean small datasets
(and you can Pay As You Go for your larger datasets too)
The Pay-As-You-Go Plan
Comes with some DataKleenr Credits bundled in
and is great for occasional or infrequent data cleaning
The Premium Plan
Best for frequent use and larger datasets
One single payment and all your data cleaning needs are covered for a whole year!
“Whether your need is for occasional or frequent data cleaning, for small or large datasets, we have a plan to suit you.
If our plans are not what you're looking for, drop us a line - I'm sure we can create a plan that is just right for your needs.”
The only difference between them is that in the PAYG plan there are some DataKleenr Credits bundled in.
In both of these plans your small datasets are free to clean, while larger datasets are funded by your PAYG credits.
Choosing between these plans simply depends on your dataset - is it small enough for the Free Plan or will you need some DataKleenr Credits?
The Premium Plan is different from the others. With the Premium Plan, one single payment is all you need to get all your data cleaning FREE for the whole year.
This plan is perfect for those who need to clean data on a rugular basis, such as statisticians, analysts and data scientists.
When you register for a DataKleenr plan you will get a licence and some credits. You use the credits to pay for your analyses on a Pay-As-You-Go basis, kind of like a mobile phone - you get credits, use them up, buy some more when you need them.
The number of credits that you need depends on the size of your dataset - the smaller your dataset, the fewer credits you will need.
|Free Plan||PAYG Plan||Premium Plan|
|Up to 250 rows & 10 columns||FREE||FREE||FREE|
|Up to 250 rows & >10 columns||10||10||FREE|
|251 to 1,000 rows||10||10||FREE|
|1,001 to 10,000 rows||30||30||FREE|
|10,001 to 100,000 rows||100||100||Get in touch|
|100,000+ rows||Get in touch||Get in touch||Get in touch|
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(in just the first 3 months since launch!).