The DataHero Blog

What’s the Difference Between DataHero and Its Cloud Competitors?

May 12th, 2017

Startups and small companies have every reason to question whether the buzzphrase “big data” is too much, too soon — even though they need to make data-driven decisions just like larger or more mature companies.

Actually, the vast majority of U.S. companies might be hard pressed to afford the kind of infrastructure that qualifies as big data: About nine out of 10 firms in the U.S. employ 20 or fewer people.

Catering to the data needs of small businesses has become a booming product category we love to be part of. Yet we understand window shoppers might have a hard time discerning the differences between data analytics offerings in the cloud.

So, never fear, help is here: we’re about to show you how we compare to four other data analytics applications’ pricing, use cases, features and app integrations. Based on that, you’ll see how DataHero is best for marketing professionals at startups and small companies, while the others — well, we’ll tell you about them first so you get the contrast.

1. ReportDash


If your team is prepared to hit the ground running with a data analytics app installation, then ReportDash might work out for you.

And here’s why: There’s no free trial to test whether there’s a good fit, and furthermore the company appears to offer less help documentation compared to others in the data analytics category.

Unless you have a good inhouse IT team willing to support you or experienced inhouse data scientists, you might encounter a challenging adaptation process.

That said, once you figure out how to use it, the salient feature is a report scheduler that allows you to send automated, automatically updated reports to your team on a consistent basis.


Google Analytics, Google Adwords, Google Search Console, Facebook Insights, Facebook Ads, Bing Ads, Twitter Insights, Instagram Insights, Youtube Insights, LinkedIn Insights, SurveyMonkey Insights, MailChimp Insights, AWeber Insights, Constant Contact Insights, Campaign Monitor Insights, VerticalResponse Insights, Google Drive, Dropbox, CSV, XLSX, and JSON


For $19 a month, you can have 15 users and two integrations. For $79 a month, you can have 75 users and 10 integrations. For $149 a month, you can have 150 users and 25 integrations.

2. Tableau

How Tableau compares to DataHero as a cloud data analytics offering

Tableau markets itself to large companies that want to share large amounts of data across the enterprise, and provide views to users with different skill sets. However, some of the data tools require you to sit different departments down and explain the data and how it’s relevant to each of them.


Google Analytics, Salesforce, SAP, AWS, and many more—check out the complete list here.


Tableau’s fully hosted version costs $42 per user, per month; pricing of the public cloud and desktop option were not available to us as of this writing.

3. Airtable


Airtable is for people who want a project management view of their data, with a little storage to go with it. However, the app provides different views tables that are essentially linked spreadsheets and simple charts. You can’t really graph nor map anything with the interface so far. It’s also not the go-to app for measurements over time.


Asana, Basecamp, Box, Dropbox, Email, Eventbrite, Evernote, Facebook, Github, Gmail, Google Calendar, Google Contacts, Google Drive, Instagram, LinkedIn, MailChimp, Meetup, Pocket,, Slack, SMS, SoundCloud, Stripe, Trello, Tumblr, Twilio, Twitter, WordPress, Wunderlist, Youtube, Zendesk, and Zapier


A free plan has unlimited bases and users per month, but only 1,200 records per base; $12 and $24 per user per month gets more space; and an enterprise plan (price not listed) comes with even more space and priority support.

4. Amazon QuickSight

How DataHero compares to Amazon QuickSight software for cloud analytics

Even though its marketing messages include aiming at smaller businesses, we think Amazon QuickSight ultimately suits big data configurations. Think of it as the user friendly version of data analytics for companies with humongous amounts of information — only this is the top-layer app that you give to employees who don’t specialize in data science full time.


Amazon S3, Amazon RDS, Amazon Aurora, Amazon Athena, Amazon RedShift, MySQL, PostgreSQL, SQL servers, various SaaS applications, CSV, TSV, CLF, and ELF


The first user is technically free, and each additional user is either $9 monthly or $18 monthly (for enterprise solutions).

5. DataHero

DataHero is the best data analytics software for marketing professionals in small companies and startups

DataHero is ideal for marketing professionals at startups and small companies, because of the app’s self-service format and the fact that it has a completely free version.

The application’s easy integrations, drag-and-drop platform, and bright colors are highlly intuitive So is the app’s Data Decoder, which susses out patterns to give you a list of suggested charts — customers tell us that this helps them discover priceless insights.


Box, Braintree, CSV, Desk, Dropbox, Eventbrite, Excel, Facebook, Github, Google Analytics, Google Adwords, Google Drive, Google Sheets, Highrise, HubSpot, Intercom, Keenio, MailChimp, ManDrill, Marketo, Microsoft OneDrive, MixPanel, Office 365, Pardot, Quandl, Quickbooks, Recurly, Salesforce, SendGrid, Shopify, Stripe, SurveyMonkey, TSV, Zendesk, and Zuora


DataHero has a free version of the app that lets individual users create an unlimited number of charts with up to two MB of data per visual. And due to strong demand for our application, we’ve adjusted our paid tiers of service to combine additional features and customization at every level accompanied by price increases effective Monday, June 26, 2017. Existing subscribers’ prices won’t change until then, yet they are already seeing new features we’ve been adding over the past couple of months. See the graphic below for more details.

DataHero has the best prices for small companies and startups compared to other data analytics apps in the cloud.

Got Queries?

If you still have questions about the difference between providers in the data analysis sector, we hope you will ask us either in the comments section or via email, if not both. In fact, your question just might inspire a blog future post. We might already have somewhat of a sequel to this post planned for the first week in October of this year.

P.S. — If you liked this article, you just might enjoy taking DataHero for a spin. Please click here to get started.

By Alex Hsi

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