What users are saying about

Alteryx Analytics

Top Rated
111 Ratings

H2O

5 Ratings

Alteryx Analytics

Top Rated
111 Ratings
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Score 8.7 out of 101

H2O

5 Ratings
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Score 9.4 out of 101

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Likelihood to Recommend

Alteryx Analytics

Well suited: if an organization already has a lot of running ETLs or pipelines but need to systemize them, Alteryx is a good choice. It would be good to figure out how well Alteryx would be harmonized with the existing components, but in a general sense, it may be well harmonized. Less appropriate: Alteryx is good for "automation", but some data developers and analysts may prefer to remain and keep using SQL tools. One should be careful of not just adding "one more layer or tool" into the existing pipeline and make it more complicated to manage.
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H2O

Use H2O.ai whenever you need easy to use tool, when you must be cost efficient (you can not charge the client extra money for software licenses used), need a tool with lots of algorithms that are normally used in data analytics, or need to work on one machine (it is either not allowed to move data to cloud storage or simply not necessary to connect to Hadoop, etc.). Also, you can call H2O directly from Python which makes analysis more efficient.
Viktor Mulac profile photo

Feature Rating Comparison

BI Standard Reporting

Alteryx Analytics
7.6
H2O
Pixel Perfect reports
Alteryx Analytics
8.0
H2O
Customizable dashboards
Alteryx Analytics
5.8
H2O
Report Formatting Templates
Alteryx Analytics
9.0
H2O

Ad-hoc Reporting

Alteryx Analytics
8.5
H2O
Drill-down analysis
Alteryx Analytics
8.1
H2O
Formatting capabilities
Alteryx Analytics
8.2
H2O
Integration with R or other statistical packages
Alteryx Analytics
9.6
H2O
Report sharing and collaboration
Alteryx Analytics
7.9
H2O

Report Output and Scheduling

Alteryx Analytics
8.6
H2O
Publish to Web
Alteryx Analytics
8.0
H2O
Publish to PDF
Alteryx Analytics
8.5
H2O
Report Versioning
Alteryx Analytics
9.0
H2O
Report Delivery Scheduling
Alteryx Analytics
8.9
H2O

Data Discovery and Visualization

Alteryx Analytics
8.1
H2O
Pre-built visualization formats (heatmaps, scatter plots etc.)
Alteryx Analytics
8.0
H2O
Location Analytics / Geographic Visualization
Alteryx Analytics
7.7
H2O
Predictive Analytics
Alteryx Analytics
8.7
H2O

Access Control and Security

Alteryx Analytics
8.3
H2O
Multi-User Support (named login)
Alteryx Analytics
8.0
H2O
Role-Based Security Model
Alteryx Analytics
8.0
H2O
Multiple Access Permission Levels (Create, Read, Delete)
Alteryx Analytics
9.0
H2O

Mobile Capabilities

Alteryx Analytics
4.0
H2O
Responsive Design for Web Access
Alteryx Analytics
4.0
H2O

Pros

  • Cleaning datasets
  • Preparing data for analyzing
  • Customer data analytics
  • Transforming data from one format to other
Sanket Bharaswadkar profile photo
  • Excellent analytical and prediction tool
  • In the beginning, usage of H20 Flow in Web UI enables quick development and sharing of the analytical model
  • Readily available algorithms, easy to use in your analytical projects
  • Faster than Python scikit learn (in machine learning supervised learning area)
  • It can be accessed (run) from Python, not only JAVA etc.
  • Well documented and suitable for fast training or self studying
  • In the beginning, one can use the clickable Flow interface (WEB UI) and later move to a Python console. There is then no need to click in H20 Flow
  • It can be used as open source
Viktor Mulac profile photo

Cons

  • Poor documentation
  • Costly
  • Overkill for simple tasks
  • Not many options for data visualization
Sanket Bharaswadkar profile photo
  • No weaknesses found yet
  • This is not really a drawback, but rather a warning - the Drivereless AI is not a replacement for a data scientist yet, and will not replace data scientists in the next decade neither. The Driverless AI feature delivers reliable results only if the analyst is sure about the meaning of input data. The data quality is usually a major issue and no tool can detect the meaning of data in the input. Data scientists are also required for business interpretation of the findings. So be careful, and do not rely on this feature without a good understanding of what it really does in each step.
Viktor Mulac profile photo

Likelihood to Renew

Alteryx Analytics6.5
Based on 14 answers
I personally have moved to a different position that does not require data analysis tools. I really enjoyed working with Alteryx and think it is a great tool, but have moved to a different organization and role.
Mika Silverman profile photo
No score
No answers yet
No answers on this topic

Usability

Alteryx Analytics10.0
Based on 2 answers
Through a graphical UI one can perform engineering and development, other vendors do not have such a code-less interface.
Nick Lensing profile photo
No score
No answers yet
No answers on this topic

Reliability and Availability

Alteryx Analytics10.0
Based on 1 answer
I use many programs and compared to others, Alteryx virtually never goes down, freezes up or gives an application error. Over a 4 year time period that I have used this program, any of these may have happened 3 times. It is an incredibly stable program that I feel completely confident in.
Dan Chapman profile photo
No score
No answers yet
No answers on this topic

Support

Alteryx Analytics9.9
Based on 2 answers
Overall pretty good. Depending on the quality of the question posed the CS team will get back as they are available
Nick Lensing profile photo
No score
No answers yet
No answers on this topic

Implementation

Alteryx Analytics10.0
Based on 1 answer
There is really not much to it (the installation, that is). Once you get it installed, along with any of the add-ons (demographics, R, etc.), you are up and running almost immediately. There is really no additional setup. You can immediately begin blending data, running demographics, performing spatial queries, running predictive analysis, etc. And for many of these functions, the learning curve is quite easy.
Dan Chapman profile photo
No score
No answers yet
No answers on this topic

Breadth of Deployment

Our company kept it contained in the marketing department. Other departments may not understand it.
No photo available
No answers on this topic

Alternatives Considered

For analytics Alteryx outperforms others.
Nick Lensing profile photo
Both are open source (though H2O only up to some level). Both comprise of deep learning, but H2O is not focused directly on deep learning, while Tensor Flow has a "laser" focus on deep learning. H2O is also more focused on scalability. H2O should be looked at not as a competitor but rather a complementary tool. The use case is usually not only about the algorithms, but also about the data model and data logistics and accessibility. H2O is more accessible due to its UI. Also, both can be accessed from Python. The community around TensorFlow seems larger than that of H2O.
Viktor Mulac profile photo

Collaboration and Sharing

Alteryx Analytics7.2
Based on 16 answers
There are some formats that need to be worked on in Alteryx for example using "%" in reporting as you have to go through few extra steps to build such special characters and it makes it a little annoying. It also needs a small fix on when you share data in emails to make it better visualized.
Rishi Bavishi, CSSGB, CAPM profile photo
No score
No answers yet
No answers on this topic

Data Integration

Alteryx Analytics8.9
Based on 16 answers
Unless there's totally different kinds of datasets, it works with any flat file sheets and is very easy to play with data. If you have files in shared folders the run time depends on the size and speed of accessibility as well, but for most part it works really smooth.
Rishi Bavishi, CSSGB, CAPM profile photo
No score
No answers yet
No answers on this topic

Return on Investment

  • Alteryx has significantly improved employee efficiency. It's helped reduce turnaround time by ~30% already and we expect this to to do more as we leverage more of the tools.
  • Alteryx has also been used to automate repetitive processes to free up employees to focus on more of the analytical tasks.
  • The only negative to the business impact is how licenses are handed. They often expire without notice and can negatively affect clients.
Adrian Harvey, MBA profile photo
  • By using H2O the analyst can focus on analysis itself, not spend too much time with coding etc.
  • Reuse of algorithms and easy model sharing saves time and money
  • An easy learning curve assures low training costs
  • By moving to a paid version, even the Driverless AI, you will still need data scientists and analysts, but maybe not so many!
Viktor Mulac profile photo

Pricing Details

Alteryx Analytics

General
Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
No
Alteryx Analytics Editions & Modules
Alteryx Analytics
On-premise Edition
Alteryx Designer
$3,9951
Alteryx Designer with Spatial
$12,9951
Alteryx Designer with Data
$29,9951
Alteryx Server
$45,0002
1. per user, per year
2. per server, per year
SaaS Edition
Alteryx Analytics Gallery
$1,5001
1. per user, per year
Additional Pricing Details
The above prices are in USD for Alteryx products and are per-year subscription prices based on a 3-year contract, with annual payment.

H2O

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
H2O Editions & Modules
H2O
Additional Pricing Details