Astrato Analytics vs. Tableau Desktop

Astrato Analytics provides a feature-rich application that it easy to use for the non-technical user yet robust enough to create a sophisticated SaaS application. Astrato Analytics provides native integration to all the major large cloud data platforms and the implementation is very straight forward. The value provided through their feature-rich platform and competitive pricing is unmatched.

The best scenario is definitely to collect data from several sources and create dedicated dashboards for specific recipients. However, I miss the possibility of explaining these reports in more detail. Sometimes, we order a report, and after half a year, we don't remember the meaning of some data (I know it's our fault as an organization, but the tool could force better practices).

Incentivized

• Writeback to the database is simple and straightforward and allows us to build apps in the tool with a level of interation that is not possible with other BI tools
• Version control that is built into the workbooks allows us to quickly deploy changes without the fear of losing the older version and maintianing both a historcal updates and the ability to rollback
• Easy connectivity to a wide range of data platforms including Snowflake, Databricks, and Google Workspace within the same tenant allows us to leverage data from each of these platforms for specific use cases

• An excellent tool for data visualization, it presents information in an appealing visual format—an exceptional platform for storing and analyzing data in any size organization.
• Through interactive parameters, it enables real-time interaction with the user and is easy to learn and get support from the community.

Incentivized

• The product is still young, as a consequence, some features aren't as mature as competitors. Astrato has worked to catch up quickly, by rolling out new features regularly
• Better ability to control icons and themes from a central point, instead of having to add/change them on each report

Incentivized

• Pricing should be more user-friendly and usage-driven
• Making edits to the production reports is fairly tough and has a vast scope of additional capabilities
• Tableau Desktop should be able to differentiate itself from the Tableau server else there is no major meaning of two different products being offered

Our use of Tableau Desktop is still fairly low, and will continue over time. The only real concern is around cost of the licenses, and I have mentioned this to Tableau and fully expect the development of more sensible models for our industry. This will remove any impediment to expansion of our use.

Incentivized

It is a very intuitive system, a pleasure to use, practical and simple, for medium to advanced activities. BI supervisors are delighted with much of the functionality, but highlight some weaknesses that they still have, such as the loading speed in HEIC-type files.

Without a doubt, it is a tool that has become essential in our business routine.

Incentivized

Tableau Desktop has proven to be a lifesaver in many situations. Once we've completed the initial setup, it's simple to use. It has all of the features we need to quickly and efficiently synthesize our data. Tableau Desktop has advanced capabilities to improve our company's data structure and enable self-service for our employees.

When used as a stand-alone tool, Tableau Desktop has unlimited uptime, which is always nice. When used in conjunction with Tableau Server, this tool has as much uptime as your server admins are willing to give it. All in all, I've never had an issue with Tableau's availability.

Tableau Desktop's performance is solid. You can really dig into a large dataset in the form of a spreadsheet, and it exhibits similarly good performance when accessing a moderately sized Oracle database. I noticed that with Tableau Desktop 9.3, the performance using a spreadsheet started to slow around 75K rows by about 60 columns. This was easily remedied by creating an extract and pushing it to Tableau Server, where performance went to lightning fast

Incentivized

Very friendly, with online help, blog and community. The template documentation could be more complete, however.

Incentivized

Tableau support has been extremely responsive and willing to help with all of our requests. They have assisted with creating advanced analysis and many different types of custom icons, data formatting, formulas, and actions embedded into graphs. Tableau offers a weekly presentation of features and assists with internal company projects.

Incentivized

It is admittedly hard to train a group of people with disparate levels of ability coming in, but the software is so easy to use that this is not a huge problem; anyone who can follow simple instructions can catch up pretty quickly.

I think the training was good overall, but it was maybe stating the obvious things that a tech savvy young engineer would be able to pick up themselves too. However, the example work books were good and Tableau web community has helped me with many problems

Incentivized

Again, training is the key and the company provides a lot of example videos that will help users discover use cases that will greatly assist their creation of original visualizations. As with any new software tool, productivity will decline for a period. In the case of Tableau, the decline period is short and the later gains are well worth it.

Incentivized

To scale PowerBi, we would have needed a staff of technical folks and a substantial budget, and we still probably could not have created the robust SaaS application we did with Astrato Analytics. Astrato Analytics allowed for a staff of two to create and rollout a SaaS Application in under 60 days and provided hands on support to us as needed. There really is no comparison.

I have used Power BI as well, the pricing is better, and also training costs or certifications are not that high. Since there is python integration in Power BI where I can use data cleaning and visualizing libraries and also some machine learning models. I can import my python scripts and create a visualization on processed data.

Incentivized

Tableau Desktop's scaleability is really limited to the scale of your back-end data systems. If you want to pull down an extract and work quickly in-memory, in my application it scaled to a few tens of millions of rows using the in-memory engine. But it's really only limited by your back-end data store if you have or are willing to invest in an optimized SQL store or purpose-built query engine like Veritca or Netezza or something similar.

• The ability to unify multiple platforms in Astrato provides cost savings.

• Tableau was acquired years ago, and has provided good value with the content created.
• Ongoing maintenance costs for the platform, both to maintain desktop and server licensing has made the continuing value questionable when compared to other offerings in the marketplace.
• Users have largely been satisfied with the content, but not with the overall performance. This is due to a combination of factors including the performance of the Tableau engines as well as development deficiencies.

Incentivized