ConnectWise PSA (formerly Manage) is a business management platform for companies that sell, service, and support technology. The platform is cloud-based and integrates automation, help desk and customer service, sales, marketing, project management, and business analytics. It is the hub of the ConnectWise suite.
$35
Per Tech Per Month
Tableau Desktop
Score 8.4 out of 10
N/A
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.
$1,380
per year (purchased via a Creator license)
Tableau Server
Score 7.6 out of 10
N/A
Tableau Server allows Tableau Desktop users to publish dashboards to a central server to be shared across their organizations. The product is designed to facilitate collaboration across the organization. It can be deployed on a server in the data center, or it can be deployed on a public cloud.
$12
Per User Per Month
Pricing
ConnectWise PSA
Tableau Desktop
Tableau Server
Editions & Modules
Subscription
$35.00
Per Tech Per Month
Tableau Creator License
$115
per month (billed annually) per user
Viewer
$12.00
Per User Per Month
Explorer
$35.00
Per User Per Month
Creator
$70.00
Per User Per Month
Offerings
Pricing Offerings
ConnectWise PSA
Tableau Desktop
Tableau Server
Free Trial
No
No
Yes
Free/Freemium Version
No
Yes
No
Premium Consulting/Integration Services
No
Yes
Yes
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
All pricing plans are billed annually. A Creator license includes Tableau Desktop, Tableau Prep Builder, and Tableau Pulse. Discounts sometimes available for volume.
When we first looked at getting a visualization software for analytics we looked into two options Microsoft Power BI and Tableau Desktop, and even though Power BI is more cost-effective we decided to go with Tableau Desktop as it had more options that we are looking for such as …
Microsoft PowerBI could potentially be a better fit for organizations on Office365, it's a close call though. Google Data Studio has potential but is still far behind Tableau on the "user-friendly" factor. Tableau still seems to dominate for the "recommended" analytics tool, …
Tableau is next generation tool where other two are old traditional BI tools Other tools are very slow and difficult to use, and required lot of technical expertise to use them. Tableau's look and feel is much nicer than those two.
Against the usual incumbents within the pharmaceutical industry, Tableau has much better and faster access to database data especially stored in the Oracle database, without needing any interim transformations or data universe needing to be created. Also it has comparatively …
If any changes had to be made to existing visualizations when we used QlikView, a lot of security constraints existed and I had to run to the IT team for every change I had to implement.
Tableau gives easy security change rights to the developer environment.
I feel like Tableau is easier to use and offers a greater selection of visualizations. I feel that the dashboards are easier to put together and offer a great amount of flexibility for the end-user. Tableau has an excellent user support group. I find the community to be …
My current work environment uses both Tableau Online, MicroStrategy & SSRS in parallel. Tableau is much closer to the SSRS in terms of visualization tool where as MicroStrategy is an enterprise data modeling and reporting tool.
Based on the use case we use different tools. Here …
I have used SSRS, Crystal Reports, Microsoft Excel, and Business Objects. Tableau offers more functionality than the rest and is pretty intuitive. I think SSRS is the easiest to use. Query speed is excellent with SSRS (at least when you are connected to SQL Server). Microsoft …
In comparison to Tableau, the other dashboarding/BI tools I've used feel clunky, are very slow to develop in, and seem to lack features of a more modernized tool like Tableau. In Pentaho Analyzer, for instance, trying to include multiple worksheets or reports in a single …
As far as I know, we do not currently use Domo, however I've seen some demos of their product. Domo is very good with cloud-based software and it also incorporates social media data. Domo is also good at using cloud-based excel file building vs. building spreadsheets on my …
Renowned digital analytics consultant, innovator, speaker, thought leader
Chose Tableau Desktop
I haven't used other tools for a number of years - when I made the selection my criteria were ease of use (including, slicing & dicing data at will), connectivity to various data sources (especially REST API - which Tableau doesn't support natively but now has a way to use …
Cass evaluated Domo, QlikView and Birst prior to selecting Tableau. It came down to cost (and by a significant margin); the others have relatively high implementation, hosting and other costs. Additionally, based on a recent Gartner "Magic Quadrant", Tableau exceeds all others …
I had the trial version of Tableau Desktop downloaded, installed, configured and was creating meaningful dashboards in almost 15 minutes. While other software we used had great features, none of them were able to compare with this trial experience. Tableau's user forums were …
Verified User
Engineer
Chose Tableau Desktop
Python is programming tools, while Tableau is an easy to use drag and drop data visualization tool. This may not be an apple to apple comparison. Compared to Excel, Tableua is way over the top when it comes to data visualization.
Tableau is by far the superior product when it comes to analysis, ease of use, and end user experience. People are usually more familiar with Excel so it can be difficult to break them out of their comfort zone. Lastly, when it comes to subscriptions, SSRS is the tool I prefer. …
The primary factors for choosing Tableau were the licensing costs; ability to view data from multiple data sources; the ease of infrastructure to setup; and ability for users to create and maintain their own worksheets without the need for IT assistance.
Verified User
Analyst
Chose Tableau Desktop
Tableau Desktop needs no to minimal coding experience. It easily integrates with various data sources. It is very easy to create usable smart reports.
We evaluated QlikView and Tableau for a Fortune 500 corporation 15 months ago in full disclosure. To be all too brief we found QlikView to be a very good tool but more IT dependent than Tableau. Newer features and functions may offset some this one significance.
Tableau is the most powerful and easy to use of the alternatives, as long as the data sources are properly connected. None of the other tools have allowed us to connect and integrate data into one report in the way that Tableau's data connectivity allows us to. Then the ability …
We have evaluated QlikView as well. QlikView is another tool in the "Self-Service BI" world. However, it's focus is mainly on creating ad-hoc data models and using these models to make visualizations. Tableau, on the other hand, will take an existing data model and make much …
The choice to use Tableau Server is really made for you if you already have adopted Tableau Desktop. If you're focused on an on-premise solution, Tableau is probably the way that you'll have to go. Looker and Mode are cloud-based (so is Tableau Online) and offer a true …
There were a lot of reasons why we chose Tableau and the least is the cost but also the way Tableau stores data in the columnar fashion instead of in Cubes. We went through a painstaking selection process and at the end, came down to a couple of vendors and we ended up with the …
We still use Microsoft Excel for much of the lighter, day-to-day pivot tables or calculations. We see Tableau as the future however and are slowly tying more and more of our standard work with Tableau. Smartsheet isn't a 1:1 example, but it was considered for importing …
I did not choose Tableau for my organization, but did choose my organization in part because they use Tableau! Fantastic flexibility combined with relative ease of visualization.
A comprehensive proof of concept study done. We evaluated different vendors and also consider strategic reports (like Gartner) to make a decision. Tableau was the winner. The developers especially liked it, because integrating it to the existing system was very easy.
Sisense was another tool I came across, but I chose Tableau over Sisense as an end-to-end tool for data visualisation and BI. Tableau is the complete data visualisation tool, which is what I was looking for. So, I chose Tableau. Plus, it's easy to use and there are no complex …
Tableau is better than Splunk in analyzing the unstructured data and displaying all relevant information to the user. I have used Splunk but it does not provide the information of every component of a system, it just drills down to log analytics. Tableau is beyond Splunk, as …
QlikView, Tibco Spotfire, SAS, and SAP. At the time, all cost more than Tableau for our (small) needs, SAS and SAP were in some ways overqualified in terms of breadth, and none of them had the ease of use of Tableau.
Tableau Server has many competitors, two primary ones would be SAP Business Objects and Microsoft PowerView through Tabular Analysis Services. I have worked with all three products. First and foremost, in terms of data visualization Tableau is the best by far. However there are …
This search turned up a number of candidates. I think the main alternative considered was SiSense. Tableau Server with Tableau Desktop was the most expensive solution but I was convinced it actually represented the best value.
Tableau by far has the most intuitive interface and best out of the box looks for presentation. The speed of development and ease of development is unbeatable.
QlikView can't connect to live data (in general) Licensing Costs of QlikView and Cognos are expensive. Cognos doesn't have excellent Graphics embedded within the tool
I've personally have used a vast majority of the Business Intelligence products on the marketplace. I've used all of the Oracle products over the past few years. I've used all of the products in the Microsoft stack, along with Cognos, Qlikview, etc. Each are effective if your …
Sr. Data Analyst and Tableau SME for North America
Chose Tableau Server
We also looked at Spotfire and Qilkview
Verified User
Administrator
Chose Tableau Server
Three "self service" BI tools were looked at: Tableau, Spotfire & Qlikview. To put it very simply, Spotfire had a lot of overlap with a tool that was already present at the bank, SAS. QlikView's biggest negative was that everything was brought in via RAM, and there are gigantic …
Vice President of Product Management & Engineering
Chose Tableau Server
We evaluated Tableau Server against all the major players out there. We had a bad experience with one of the major players and switched them out for Tableau. It was one of the best business decisions we have made due to our experience with Tableau and their team. Tableau offers …
BrightGauge lets us know when we have critical issues that need solving. A massive influx of tickets all at the same time triggers an investigation. Usually, it is tied to a server going down, which we can address. It would not be helpful for a small MSP or IT department with just a few daily tickets. The stats are better used to track a large amount of clients.
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).
Whole funnel and specific channel performance from upper to lower funnel metrics. The ability to view full channel performance for some time, such as weekly, monthly, or quarterly, has truly been monumental in how my team optimizes specific channels and campaigns. Daily performance tracking is a bit overwhelming, with load times and having to refresh specific live views over time. It can be challenging to do so at times, as extensive dashboards take much longer to load.
Tickets- Customers can email and a ticket is generated and falls under their profile for historical records. You can save documents and select if they are customer facing or only internal facing. The option as well to have communication in tickets whether its internal facing or customer facing is nice to have when you're trying to keep a record or important details for just internal means and the customer doesn't have to see all the jargon.
Procurement - It's great to have this integrate with Quosal Sell. Quotes being processed into opportunities and then into a sales order which connects to a ticket or project is pretty easy to use. It does have a learning curve but once you get the hang of it, it's straightforward. Everything is pretty connected, whether keeping track of products customers have purchased historically through us, to knowing what ticket is associated to an RMA.
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.
It's good at doing what it is designed for: accessing visualizations without having to download and open a workbook in Tableau Desktop. The latter would be a very inefficient method for sharing our metrics, so I am glad that we have Tableau Server to serve this function.
Publishing to Tableau Server is quick and easy. Just a few clicks from Tableau Desktop and a few seconds of publishing through an average speed network, and the new visualizations are live!
Seeing details on who has viewed the visualization and when. This is something particularly useful to me for trying to drive adoption of some new pages, so I really appreciate the granularity provided in Tableau Server
Annual or more than annualized data is desperately needed for MSPs to show trends, current limitation is previous 240 days for ConnectWise tickets
Alerts when datasets do not sync properly, I have to rely on my team to notice vs get an automated alert from BrightGauge
Small thing, but it would be nice to have more options on the report scheduler to enable a start date. If you wish to do it quarterly, you have to start the schedule exactly 3 months from the next run.
Tableau Server has had some issue handling some of our larger data sets. Our extract refreshes fail intermittently with no obvious error that we can fix
Tableau Server has been hard to work with before they launched their new Rest API, which is also a little tricky to work with
ConnectWise has uniquely positioned themselves with the Modern Office Suite to have direct integration with a nearly full suite of tools for MSPs. Although each tool may not necessarily be the absolute best tool on the market, the efficiencies leveraged through direct integration make the entire suite an obvious choice for most companies.
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.
It simply is used all the time by more and more people. Migrating to something else would involve lots of work and lots of training. The renewal fee being fair, it simply isn't worth migrating to a different tool for now.
I have been using ConnectWise since 2004 and I am impressed with the progress they have made. However, there are still bugs that don't work quite like they should. If I were to run reports and get consistent answers along with a couple other annoyances, then I would score CW as a 10
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.
Tableau Server takes training and experience in order to unlock the application's full potential. This is best handled by a qualified data scientist or data analytics manager. Tableau user interface layout, nomenclature, and command structure take time and training to become proficient with. Integration and connectivity require proper IT developer support.
We use the cloud version of ConnectWise and in the last 5 years it has never been down for us during business hours. I can only recall 1 time when it was not available during off hours when we wanted to use it.
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.
Our instance of Tableau Server was hosted on premises (I believe all instances are) so if there were any outages it was normally due to scheduled maintenance on our end. If the Tableau server ever went down, a quick restart solved most issues
Some tab for certain areas load speeds could be better. Dashboards can load slowly when they reference multiple reports. Some reports can load slowly based on the tables and views they are accessing. At times the SQL queries being performed in the background can actually timeout and a tab or screen will fail to load.
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
While there are definitely cases where a user can do things that will make a particular worksheet or dashboard run slowly, overall the performance is extremely fast. The user experience of exploratory analysis particularly shines, there's nothing out there with the polish of Tableau.
The front line support techs are wildly inconsistent when it comes to the level of support. Sometimes you get someone who just wants to throw links to University documentation at you, sometimes you get someone who truly tries to understand your issue and confers with peers and managers to find an answer, and sometimes you get someone who just wants to create a ticket and escalate immediately. If you ask three different techs the same question you will probably get three different answers, one of them being, "That's not possible."
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.
We have consistently had highly satisfactory results every time we've reached out for help. Our contractor, used for Tableau server maintenance and dashboard development is very technically skilled. When he hits a roadblock on how to do something with Tableau, the support staff have provided timely and useful guidance. He frequently compares it to Cognos and says that while Cognos has capabilities Tableau doesn't, the bottom line value for us is a no-brainer
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.
In our case, they hired a private third party consultant to train our dept. It was extremely boring and felt like it dragged on. Everything I learned was self taught so I was not really paying attention. But I do think that you can easily spend a week on the tool and go over every nook and cranny. We only had the consultant in for a day or two.
We are a telecoms company. Whilst CW were very happy to sell us their product and tell us how good it is for telecoms. All the training material is geared towards IT MSP's. The on-line training material was virtually useless. We found the implementation a bit of a joke. They tried telling us 12 hours of implementation time would be sufficient to launch the product. We erred on the side of caution and paid for 24 hours. This was quickly eaten away and we were nowhere near ready to go-live. I find the on-line chat facility is of much more use for us.
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
The Tableau website is full of videos that you can follow at your own pace. As a very small company with a Tableau install, access to these free resources was incredibly useful to allowing me to implement Tableau to its potential in a reasonable and proportionate manner.
Rather than letting them sell you a block of time for implementation, create a list of things that must be completed do declare the implementation complete. The implementer will have the discretion on what they set up and in what order. They will be trying to end their services in as little time as possible and may not get things set up right. You are best advised to hire a third-party wizard that has done many of these setups. Record the audio and video of all of your implementation sessions.
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.
Implementation was over the phone with the vendor, and did not go particularly well. Again, think this was our fault as our integration and IT oversight was poor, and we made errors. Would they have happened had a vendor been onsite? Not sure, probably not, but we probably wouldn't have paid for that either
Everyone but dynamics had holes in it. Dynamics is good, but it requires more development time. I spoke with some people that have CW and liked it. But when I inquired after our frustrations, I discovered they had a full time scheduling & logistics CW manager and the field people were using it purely like any other more simplistic ticket system. They said it would be impossible otherwise. The one big difference is the transparency of the sales effort. The other sales people were honest on the limitations or potential challenges and worked with us. They also worked with our agenda. At CW they don't have that option. The consulting time is eaten through a pre-formatted agenda which they communicate too you, not with you.
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.
Today, if my shop is largely Microsoft-centric, I would be hard pressed to choose a product other than Power BI. Tableau was the visualization leader for years, but Microsoft has caught up with them in many areas, and surpassed them in some. Its ability to source, transform, and model data is superior to Tableau. Tableau still has the lead in some visualizations, but Power BI's rise is evidenced by its ever-increasing position in the leadership section of the Gartner Magic Quadrant.
ConnectWise seems to have a good understanding of the IT service industry. During the required onboarding training, they even preach configuring only features that you need right now, as you can always scale up later. The feature set for the most part takes into considerations all aspects of an IT business, whether small or enterprise, or growing from one to the next.
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.
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.
Tableau does take dedicated FTE to create and analyze the data. It's too complex (and powerful) a product not to have someone dedicated to developing with it.
There are some significant setup for the server product.
Once sever setup is complete, it's largely "fire and forget" until an update is necessary. The server update process is cumbersome.