Pentaho is a suite of open source business intelligence and analytics products, now offered and supported by Hitachi Data Systems since the June 2015 acquisition.
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Tableau Desktop
Score 8.1 out of 10
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Tableau Desktop is a data visualization product from Tableau. It connects to a variety of data sources for combining disparate data sources without coding. It provides tools for discovering patterns and insights, data calculations, forecasts, and statistical summaries and visual storytelling.
$75
per month per user
Pricing
Pentaho
Tableau Desktop
Editions & Modules
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Tableau
$75
per month per user
Tableau Enterprise
$115
per month per user
Offerings
Pricing Offerings
Pentaho
Tableau Desktop
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually.
More Pricing Information
Community Pulse
Pentaho
Tableau Desktop
Considered Both Products
Pentaho
Verified User
Anonymous
Chose Pentaho
Tableau is having some technical limitations in terms of reporting and integration. But, in the case of Pentaho, it is very effective in terms of cost and also very high user-friendly. I would strongly believe that it will add more value to the organization. That's the reason I …
With Pentaho and its open-source community version, we could start showing the power of the data process and the purpose of a data lake and data warehouse project in the company, without the need for any program language skills in the team or a developer team.
Perhaps Snowflake and SalesForce have some components which align with the Pentaho tools. The Pentaho tools have integrations with these technologies to add more value to the final users. Perhaps the only weakness I can honestly find in the Pentaho tools right now is the lack …
Variety of output of reports and data with clearer and more tangible visual charts. Pentaho has been able to give the user a better sense of visual reporting and a variety of charts. Good features of modules and user-friendliness along with agility and reasonable price and …
I chose Pentaho because it is an open-source and free ETL tool. In addition, JSON and XML-based data migration and conversion operations are very successful. In addition, it works in compliance with all database systems. Finally, we can make ETL packages using the windows Task …
The basic functionality of Pentaho is well matching the capabilities of some of the main competitors. We also selected Pentaho since part of the platform is open source and can be used without commercial licenses. Currently we use a mix of the open source components and the …
Pentaho ranks #3 out of the four. I would always choose Qlik Sense overall since it is so incredibly fast and adaptable. It also has built-in ETL and has a much greater community. If you don't like Qlik, Tableau would be a second choice but the company is difficult to work …
Since the Pentaho platform offers a range of broad functionality across data preparation and advanced analytics, it also can be easily integrated to support many data sources and machine-learning frameworks. Based on that fact, we selected Pentaho to be used in our internal …
In comparison with Excel, that can also work with queries pivots and dashboards, Pentaho offers much more stability from a database point of view, more security options and provides a more stable table, pivots and dashboard designs. We are also completing the business …
We evaluated many typical BI software vendors including Micro-strategy, JasperSoft and Tableau. Tableau would have been a top pick if it had better support for OEM. We had to compete against Tableau in many customers to try to get them to upgrade to use our analytics and found …
I have used Tableau, which also does a great job and has better integration features, but as a report generation/ ETL/ BI tool, I'd recommend Pentaho. I also prefer Pentaho as it is best suited for the current client base that the firm has. It fulfills specific needs with great …
I was not with the company when they selected Pentaho over any other tool. As per my experience, I would recommend Pentaho. One of the reasons are that it is open source. If you know JAVA, you can create your own plugins. I have found its customer support pretty good and quick. …
Pentaho is not as robust or as reputable as Microsoft ETL tools, but it is great for simpler ETL solutions. It has limitations and often lacks the ability for fine-tuning, but it gets the job done and is consistently reliable. Cheaper than other products, it's a great place to …
In terms of price, pentaho seems to be the clear winner for functionality that you get--especially with the community edition. If you don't need to license anything out, even the enterprise edition is fairly reasonably priced. With this in mind, it's a winner in the sense that …
We have done extensive exploration of the BI marketplace but had to eliminate many of the BI vendors due our business model and their licensing model being incompatible or cost prohibitive. We provide reporting to hundreds of clients and hundreds of thousands of end-users and …
Did not have any other products similar to what Pentaho offers out-of-the box for free. The closest was to write some scripts manually so in our case PDI has beat Python scripts.
As previously stated, Pentaho is an excellent tool for start ups and where CTOs are willing to invest in staff training. It may not be user friendly as Tableau or SAS, but once staff master it, development of new solutions becomes limitless.
We have experience with Informatica and Talend. I think that between Talend and Pentaho it's a close fight, although I prefer, personally, Pentaho Kettle (Larger community, more resources). I think that you can say informatica is better than both of them but it is way more …
Pentaho is more powerful than any other reporting tool that is commonly integrated with Odoo. The standard reports are in RML (report modeling language) but Webkit is also available. Both are good for particular types of reports. However, if you want to design a custom report …
We evaluated Panorama, Cognos, MicroSrategy, Jasper Reports, Talend and homegrown solutions. Though each were awesome in their own right, none of them provided a end to end integration like we wanted. Pentaho did the job for us and more. Knowing that Pentaho was built by a team …
Of all the open source tools we looked at Pentaho was the only one with a full suite of tools (i.e. ETL, reporting, dashboards, etc). A lot of the open source tools were either ETL (Talend) or reporting (Jaspersoft).
We used the Pentaho community edition because we were looking for an open source solution. There is a good community involved with Pentaho. I often found Pentaho to be more flexible than Crystal Reports or SSIS but sometimes less polished in the user interface.
Talend and Pentaho have a lot of the same functionality, but Talend's interface is not as intuitive. Talend generates code that is then executed while Pentaho is an engine based tool with highly optimized Java code templates that are compiled at runtime.
Both power bi and Tableau Desktop has its own pros and cons. Microsoft power bi is best to work with Microsoft products. however for fast connection with diverse range of integration with data sources Tableau Desktop is best. if you are cost sensitive power bi is best option …
Tableau is more flexible than these - I liked Qlikview old version a lot but have not used the Qlik Sense etc new ones. Tableau user logic is harder to understand than Looker Studio. However it's more trust worthy. Connecting internet sources to Tableau Desktop is much harder. …
Tableau Desktop is older and just better overall. It has more capabilities and is more useful to have. I don't think you could have Alteryx as a standalone product like you can with Tableau Desktop. You'd want another bi tool.
Tableau Desktop has a more easy to use drag and drop interface and is easier to learn. It also allows greater customization of charts than Power BI. However, Tableau Desktop costs more than Power BI which is bundled into our Microsoft contract at no additional charge. Power BI …
The visualizations are far and away more powerful and it is more user friendly than Power BI. It would take 3-4 times as long to create the types of reports in Excel that I can create in Tableau Desktop and there are a slew of ways I can present the data in Tableau Desktop that …
It has a better user interface compared to Microsoft Power BI. The Tableau integration process is quite simple and clear with the third-party application whereas Power BI is not easily integrated with other tools and requires a complex process to follow for integration. DAX …
When it comes to pricing, Tableau is kinda expensive but worth it as it has more features, not just features but really useful features that make our work easier especially as a project manager I need to pull up data almost every day in our meetings, and I find Tableau useful …
Tableau can create visually attractive customizable dashboards than can quickly by drag-drop while in power bi we can create simple dashboard. Power bi support lesser data source while in Tableau there is a lot of options When we talk about data handling tableau is a clear …
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other …
Tableau Desktop provides some state of the art feature and capabilities that are just awesome. Its support, online blog, and tutorials are better than its competitors. That was the best selling point for me.
With Tableau Desktop, it's easy to create a report in the
context quickly. It allows for the seamless management of the data sources,
which is convenient for the data users. Because it is simple to use, it is
It does have a lot of potential when using Microsoft other technologies - in integration/Embedded, Visuals and connectivity to data sources. Advanced analytics is also smooth when working on python/r scripts. Automated insights are better in Tableau/Alphaa AI. NLG/NLQ - …
For complex data visualization, Tableau Desktop shines. Even though it uses highly granular databases, it has a powerful engine that can process large amounts of data quickly and produce high-quality charts. It has the broadest range of APIs and is extremely simple. The …
We decided to use Tableau Desktop as that's fairly standard in the industry, it is being taught in college, and is widely known. Tableau Desktop is nice, but in my opinion, it is VERY expensive. Unless you are really making money off of decisions, then your ROI is going to be …
Using Tableau Desktop, we have found it the most actionable and user-friendly application ever. It has the broadest range of APIs and is exceptionally user-friendly. It can handle a large amount of data and produce smooth charts quickly. For data geeks, this is the ideal stack.
When compared to Power BI, Tableau has a more flexible deployment. You can install the desktop version without having to install the SQL server. Tableau got you covered end-to-end — from collaboration, analytics, content discovery, data prep & access, down to deployment. …
Tableau Desktop is preferred over other BI software because it allows for more data visualization, storytelling, and dashboards. Microsoft Power BI may be a better option if you need to perform data modeling, however. Tableau Desktop is an excellent tool for nearly all other …
We preferred Tableau over Power BI due to its user-friendly interface and interactive GUI. Since we work with large datasets, we observed that Power BI can deal with only a limited amount of data when compared to Tableau which creates complex visualizations in a time-efficient …
Tableau Desktop is the most user-friendly and actionable application we have used in comparison to others. It has the best API connection potential along with easy start-up. They seem to always be updating the platform to solve newer problems which help keep my company up to …
We also use Power BI for small projects and teams that can't afford to pay for Tableau licenses. Tableau has more features and is more robust compared to Power BI. They also provide better and faster support compared to Microsoft. It is the standard visualization tool, but …
For databases or types of data that have high granularity and details, Tableau Desktop is better to plot and help visualize every detailed behavior with a great performance. It's engine can process a massive amount of data and generate a smooth chart without spending too much …
Pentaho is very well suited to perform data extraction & data mining from various cloud storage & transform that data using various available data models. However, the software struggles when it comes to visualizing the extracted data in an appealing manner & can be difficult for end-users to get an understanding of data tables created using those models.
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).
The Visualizations graphics are really good and the color options help in designing attractive charts. They help to convey more information and can be made interactive.
You can add filters with offer you to plug and play with values and understand different outcomes.
You can drag and drop options while creating charts and dashboards. also it is a very fluid layout.
I think the relative obscurity of the tool is a downside, not as many developers, consultants or peers you can tap into.
Lack of a solid user community held us back, looking at Power BI and Qlik, they have huge user communities that help each other out. Would have liked that here.
Smaller company means smaller sales force, and the lack of a local presence made it hard to only interact online with the account rep. Other companies have someone local who often stops by with pre-sales developers to just pitch in free of charge when they have time.
I will use Pentaho until I find a better tool with a better, easier to use report designer client. For now, Pentaho has been the most powerful reporting tool for our clients because of its ability to connect to Odoo, integrate in Odoo (reports are accessible in Odoo) and the flexibility in report design and parameter integration
Because right now its the best option out there (disclosure: I haven't used Qlikview or some of the other direct competitors of Tableau). The big investment is in Tableau Server not desktop. For the cost of the license of Tableau desktop, its a pretty good deal. You can hook it up to pretty much any data source easily. You can easily share the visualizations with your team/colleagues easily. Tableau Desktop is generally easy to use for business users. But the more advanced stuff is better suited for a analyst or someone with a IT/CS background.
Even if Pentaho requires less technical skills to develop a pipeline or ETL project, its learning curve can be a bit slow since there are many ways to do the same thing as in any other platform. However, in Pentaho, some things can be confusing some moments for non-technical teams.
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
We are an Enterprise customer. They handle problems INSTANTLY when they are critical, including initiation an immediate WebEx screen share call when needed. Smaller/less-critical problems are handled within 1-2 days -- and NEVER fall off their radar, no matter how small. As needed, we can also leverage "professional services" from them -- much of which is included in our Enterprise contract. Finally, when a problem I have discovered turns out to be a bug..they create a JIRA for the fix, and make me a watcher. I love seeing notes come in showing me status updates of bugs filed because of something I found. They really are TOP-NOTCH.
The Tableau Desktop's support team has been very helpful and tend to response very quickly. After all you have paid very premium price for the product and it goes to the services. This makes using the tool much easier for these who doesn't have such experience to get help quickly.
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.
Course Taken: DI1000 Pentaho Data Integration Fundamentals Setup A week before your class started, the instructor will start sending out class material and lab setup instructions. This is helpful so that you understand how the environment is laid out and can start reviewing the content. Ultimately it saved about a 1/2 day trying to setup with 10 other people online which was great! The Course The 3-day course was laid out like many other technical classes with 15-30 minutes instruction and 15-60 minutes of lab exercises. The instructor was very knowledgeable with the functionality from version to version and answered questions as we went along. I was amazed at some of the functionality that was available that I was not using at the time and quickly implemented changes to many existing transformations and jobs. The novice users seemed to catch on quickly and more experienced users explained how some of the functionality was used in their home environments. Towards the end there was enough time so that we were able to ask very directed questions about our own environments. Overall, I really found the class to be informative and deliver enough information to be dangerous. My skills improved and I was able to design better and efficient transformations for the HIE. Course Description: https://training.pentaho.com/instructor-led-training/pentaho-data-integration-fundamentals-di1000
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
Get the right people in before starting implementation. Start small and build as you go approach is time consuming and involves lot of rework. Evangalize within the organization the capabilities and limitations equally so that correct delivery expectations are set. Set expectations with the Customer that the tool cannot replace proprietary software in terms of stability/usability and that timelines could change given the new ness of the product.
Time needs to be spent ahead of implementation to make sure data sources are set up and ready. Consultants need to understand the data sources and the goals before setting foot on-site. Installation is easy, learning to use it takes time. The training resources available are great.
Perhaps Snowflake and SalesForce have some components which align with the Pentaho tools. The Pentaho tools have integrations with these technologies to add more value to the final users. Perhaps the only weakness I can honestly find in the Pentaho tools right now is the lack of a powerful web interface for data transformations. There is a web component from which you can access existing data transformations created with the Pentaho Data Integration tool. Still, the web component only allows visualization of the data transformation and remote execution. A complete web interface with remote execution would be excellent, and I'm sure that we might see something like this available at some point in the future.
Tableau Desktop is clearly one of the best in the business. It has incredible capabilities, and many features are extremely useful. The intuitiveness of the dashboards and the graphical nature of the visualizations are widely used features and super helpful. One of the other benefits is that both programmers and non-programmers can equally explore and create their own opportunities, and seamless integration is possible.
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.