Tableau+ | Salesforce
Salesforce, Inc.External reviews
3,507 reviews
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Bulletproof UI and Integrations Make It Rock-Solid Reliable
What do you like best about the product?
It's bulletproof UI and integrations make it very reliable in our industry.
What do you dislike about the product?
A bit clunky and tech debt reside in it after years of lack of innovation and not integrating AI
What problems is the product solving and how is that benefiting you?
Displaying all of our business areas of growth (i'm in sales) and where sellers are also falling short.
In-Depth Reporting, but Report Building Can Be Complicated and Disconnect
What do you like best about the product?
The reporting is very in-depth and lets me capture information that isn’t otherwise captured in our CRM or other applications.
What do you dislike about the product?
Building the reports can be complicated at times, and they often disconnect from the source.
What problems is the product solving and how is that benefiting you?
Tableu allows us to capture data that we aren’t able to capture anywhere else, and it has become an important part of our business.
Powerful, Flexible BI Tool That Delivers Insights
What do you like best about the product?
A powerful and flexible BI tool for finding out what you want
What do you dislike about the product?
Speed can be an issue and the interface isn't the most intuitive
What problems is the product solving and how is that benefiting you?
Tableau is helping us find out buying behaviour and where to put our efforts
Powerful for the right team — but the complexity and cost demand honest expectations
What do you like best about the product?
I work as a data analyst on a mid-sized marketing team, and Tableau has genuinely changed how I spend my time. Before adopting it, I was spending roughly 6–8 hours a week building static reports in Excel to share with stakeholders. That's now closer to 90 minutes — the drag-and-drop interface and "Show Me" feature handle the layout work fast, and because filters and drill-downs are built in, stakeholders can interrogate the data themselves instead of sending me follow-up requests.
Connectivity has been the other major win. I regularly pull from Google Analytics, a Postgres database, and a couple of Excel sources simultaneously. Tableau's data blending handles this without me writing custom ETL pipelines — everything stays in one place, which saves me at least a few hours a week in prep work alone.
Performance at scale has also held up better than I expected. I'm working with datasets in the 10–50 million row range, and extract-based dashboards stay responsive where other tools I've tried (Looker, Power BI on the same infra) started to lag. Pricing is real, but when I factor in reporting time recovered and the quality of the analysis I can now hand to leadership, the ROI math works.
The onboarding resources — documentation, the community forums, Tableau Public — are genuinely good. Ask Data and the AI insights features have also surfaced a couple of things I'd have otherwise missed; they're not magic, but they're useful additions to the workflow.
Connectivity has been the other major win. I regularly pull from Google Analytics, a Postgres database, and a couple of Excel sources simultaneously. Tableau's data blending handles this without me writing custom ETL pipelines — everything stays in one place, which saves me at least a few hours a week in prep work alone.
Performance at scale has also held up better than I expected. I'm working with datasets in the 10–50 million row range, and extract-based dashboards stay responsive where other tools I've tried (Looker, Power BI on the same infra) started to lag. Pricing is real, but when I factor in reporting time recovered and the quality of the analysis I can now hand to leadership, the ROI math works.
The onboarding resources — documentation, the community forums, Tableau Public — are genuinely good. Ask Data and the AI insights features have also surfaced a couple of things I'd have otherwise missed; they're not magic, but they're useful additions to the workflow.
What do you dislike about the product?
The interface gets unwieldy once you move beyond basic dashboards. I've built dashboards with 15+ calculated fields, dynamic parameters, and nested dashboard actions — at that point, the UI stops feeling intuitive and starts feeling like archaeology. Fine-tuning spacing, alignment, and element sizing is tedious for a tool at this price point; you'd expect more layout precision.
Live connections are inconsistent. I've had dashboards with live connections to our Postgres instance slow to 20–30 second load times when other analysts are hitting the same DB. Extracts solve it, but requiring a workaround for a core feature is frustrating.
Pricing is hard to defend for smaller teams or individual analysts. We're a team of 6 with 4 Creator licenses — that cost is manageable for us but would be prohibitive for a solo analyst or a team of 2–3. There are capable alternatives at a fraction of the cost, and for simple reporting needs, Tableau is probably overkill.
Support has also been a consistent pain point. When I hit an edge case with a multi-source blend producing incorrect aggregations, the official support response took several days and ultimately pointed me to a community thread. For an enterprise product at this price, that's below expectations.
Ask Data handles simple natural-language queries fine ("show me revenue by region last quarter") but falls apart with anything involving custom date logic or blended fields. It's a v1 feature in practice, not a finished product.
Live connections are inconsistent. I've had dashboards with live connections to our Postgres instance slow to 20–30 second load times when other analysts are hitting the same DB. Extracts solve it, but requiring a workaround for a core feature is frustrating.
Pricing is hard to defend for smaller teams or individual analysts. We're a team of 6 with 4 Creator licenses — that cost is manageable for us but would be prohibitive for a solo analyst or a team of 2–3. There are capable alternatives at a fraction of the cost, and for simple reporting needs, Tableau is probably overkill.
Support has also been a consistent pain point. When I hit an edge case with a multi-source blend producing incorrect aggregations, the official support response took several days and ultimately pointed me to a community thread. For an enterprise product at this price, that's below expectations.
Ask Data handles simple natural-language queries fine ("show me revenue by region last quarter") but falls apart with anything involving custom date logic or blended fields. It's a v1 feature in practice, not a finished product.
What problems is the product solving and how is that benefiting you?
Three core problems, in order of impact:
Fragmented data sources. My data lives across Google Analytics, Postgres, and several Excel exports. Previously, combining these for analysis meant manual joins that took hours and introduced errors. Tableau's connectors and blending handle this in a single environment — I connect, blend, and analyse without touching a pipeline.
Static reports bottlenecking stakeholder decisions. Static exports meant every follow-up question from leadership triggered another report request. With interactive dashboards, our VP and department heads filter and drill into data themselves during weekly reviews. The conversation has shifted from "can you pull that?" to "here's what I found." That's a real change in how decisions get made — not a marginal one.
Large datasets making existing tools impractical. Working with 10M+ row datasets in Excel was unreliable — crashes, lag, corrupted files. Tableau's extract functionality handles this cleanly. It's not perfect at every scale, but it's a marked improvement over what we were doing.
The downstream effect is that the feedback loop between something happening in the business and leadership seeing it has shortened considerably. That responsiveness has tangible value, even if it's hard to put a precise number on.
Fragmented data sources. My data lives across Google Analytics, Postgres, and several Excel exports. Previously, combining these for analysis meant manual joins that took hours and introduced errors. Tableau's connectors and blending handle this in a single environment — I connect, blend, and analyse without touching a pipeline.
Static reports bottlenecking stakeholder decisions. Static exports meant every follow-up question from leadership triggered another report request. With interactive dashboards, our VP and department heads filter and drill into data themselves during weekly reviews. The conversation has shifted from "can you pull that?" to "here's what I found." That's a real change in how decisions get made — not a marginal one.
Large datasets making existing tools impractical. Working with 10M+ row datasets in Excel was unreliable — crashes, lag, corrupted files. Tableau's extract functionality handles this cleanly. It's not perfect at every scale, but it's a marked improvement over what we were doing.
The downstream effect is that the feedback loop between something happening in the business and leadership seeing it has shortened considerably. That responsiveness has tangible value, even if it's hard to put a precise number on.
Tableau Makes Complex Data Clear with Fast, Interactive Dashboards
What do you like best about the product?
What I like best about Tableau is its ability to turn complex data into clear, interactive visual insights with minimal effort. It allows users to connect to multiple data sources and build dashboards that are both powerful and easy to understand, even for non-technical stakeholders.
What stands out is its intuitive drag-and-drop interface combined with strong analytical capabilities, which makes exploring data and uncovering trends very fast. It also supports real-time data visualization, helping teams make decisions based on the most current information.
For me, this means faster storytelling with data, improved decision-making, and better communication of insights across teams. Overall, Tableau makes data more accessible, actionable, and impactful without requiring heavy technical overhead.
What stands out is its intuitive drag-and-drop interface combined with strong analytical capabilities, which makes exploring data and uncovering trends very fast. It also supports real-time data visualization, helping teams make decisions based on the most current information.
For me, this means faster storytelling with data, improved decision-making, and better communication of insights across teams. Overall, Tableau makes data more accessible, actionable, and impactful without requiring heavy technical overhead.
What do you dislike about the product?
What I dislike about Tableau is that it can become expensive at scale, especially with multiple users and enterprise licensing. Performance can also lag with very large or complex datasets, and advanced customization often requires deeper technical expertise or workaround solutions beyond its intuitive interface.
What problems is the product solving and how is that benefiting you?
Tableau solves the problem of making large, complex, and scattered data understandable and actionable. Many organizations struggle with raw data stored across multiple systems, making it difficult to analyze trends or support decision-making. Tableau addresses this by transforming data into interactive dashboards and visual analytics that are easy to interpret.
It also reduces dependency on technical teams for reporting, enabling business users to explore data independently through self-service analytics. This improves speed and accessibility of insights across the organization.
For me, this means I can quickly build and share meaningful dashboards without heavy coding or manual reporting effort. It helps in identifying patterns faster, supporting data-driven decisions, and communicating insights clearly to both technical and non-technical stakeholders. Ultimately, it saves time, improves accuracy, and enhances overall decision-making efficiency.
It also reduces dependency on technical teams for reporting, enabling business users to explore data independently through self-service analytics. This improves speed and accessibility of insights across the organization.
For me, this means I can quickly build and share meaningful dashboards without heavy coding or manual reporting effort. It helps in identifying patterns faster, supporting data-driven decisions, and communicating insights clearly to both technical and non-technical stakeholders. Ultimately, it saves time, improves accuracy, and enhances overall decision-making efficiency.
Flexible Data and Clear Visualizations Make Exploration Easy
What do you like best about the product?
I really enjoy the flexibility of the data, along with the platform’s visualization capabilities. It makes it easy to explore information in different ways and present it clearly.
What do you dislike about the product?
At times, I wish the file links offered a little more flexibility, as they can feel somewhat limiting depending on what I’m trying to do.
What problems is the product solving and how is that benefiting you?
The visualization techniques are strong, and the analysis is clear, easy to follow, and straightforward to work with.
Drag-and-Drop and AI Analysis Make Tableau Dashboards Fast and Effortless
What do you like best about the product?
The drag-and-drop feature and AI-enabled analysis are the aspects that add the most value to Tableau by helping me generate dashboards from large amounts of data in a few minutes. Two years' worth of daily experience in using the tool with live data integration from different sources have streamlined my work process significantly.
What do you dislike about the product?
While advanced features such as LOD and table calculations take time to learn, consuming several days even after two years of professional use, performance slows when using live connections with unextracted datasets, and the price is relatively high without any available alternatives other than extracting and optimizing.
What problems is the product solving and how is that benefiting you?
Tableau solves data fragmentation and manual visualization by incorporating other sources such as SQL databases and Excel spreadsheets into an interactive dashboard with instant forecasting capabilities. As a result of using Tableau in my professional life for two years, I can report on large datasets weekly and quickly get accurate insights instead of working with fragmented information.
Tableau Connects to Virtually Any Data Source for Unified Analysis
What do you like best about the product?
Tableau connects to virtually any data source we use — whether its Salesforce Snowflake Google Analytics or a simple Excel file — giving us a single place to analyze all our data regardless of where it lives.
What do you dislike about the product?
While the basics are relatively easy to pick up mastering advanced features like complex calculations LOD expressions and custom SQL requires significant investment in training and practice - it is not as immediately powerful as it first appears.
What problems is the product solving and how is that benefiting you?
Tableau helps me solve the problem of limited visibility in Salesforce data. While Salesforce has reports, I often find it hard to quickly analyze trends or combine data across different objects or external sources.
Using Tableau, I’m able to create more interactive and visual dashboards that make it easier for me to understand things like pipeline trends, user activity, or record patterns
Using Tableau, I’m able to create more interactive and visual dashboards that make it easier for me to understand things like pipeline trends, user activity, or record patterns
Seamless Salesforce Integration with Easy Data Insights
What do you like best about the product?
I love how complete Tableau is and how it is connected through the entire Salesforce ecosystem. It makes gathering all my data easy to see. I also really appreciated how easy the initial setup of Tableau was.
What do you dislike about the product?
Maybe have more complete charts, with even more personalization and a more "actual" UI/UX (I'm not saying it is outdated, just that it could be more appealing)
What problems is the product solving and how is that benefiting you?
I use Tableau to easily gather and visualize all my data, helping me understand my disaster relief product's impact across various metrics.
Good for Reporting, But Expensive and Rigid
What do you like best about the product?
We like some of the design features of Tableau.
What do you dislike about the product?
I'm not happy with the hosting of Tableau Server and the cost per user. Also, Tableau's flexibility around design isn't great. As our financial needs evolved, Tableau fell behind and lost the support of our leadership, who now prefer Power BI.
What problems is the product solving and how is that benefiting you?
Tableau solves financial reporting, decision making, and sales tracking for us. We use it for all business reporting and have our own hosted Tableau Server.
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