Tableau+ | Salesforce
Salesforce, Inc.External reviews
3,507 reviews
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Great No-Code Visuals with Fast Datasource Connections
What do you like best about the product?
The moving calc. is a very good way to make no-code visuals
Its easy to connect to a variety of datasources very quickly
Its easy to connect to a variety of datasources very quickly
What do you dislike about the product?
It chokes on 10M+ rows databases
The UI is non-helpful and difficult to navigate for first timers
There is no AI support
The UI is non-helpful and difficult to navigate for first timers
There is no AI support
What problems is the product solving and how is that benefiting you?
Majorly reporting and RCAs
Powerful Data Handling, Needs Better Date Filters
What do you like best about the product?
I find Tableau to be a powerful piece of software for working with large sets of data. I like its ability to manage and schedule data refreshes, which keeps the data fresh, and its capability to join and query data, making it accessible through a single platform. The scheduling and management of data sources on the cloud allow us to turn large datasets into powerful, optimized ones, ensuring that dashboards load quickly without slow data queries, providing speed, freshness, and control.
What do you dislike about the product?
Date filters are terrible. I would definitely look to improve date filters and comparisons. The creation of marketing dashboards and comparison periods are clunky and could be a lot better. So I think that feature really needs to improve.
What problems is the product solving and how is that benefiting you?
I use Tableau to manage and join data in the cloud, scalably distributing it for analysis and visualization. It handles large datasets, lets me schedule data refreshes for freshness, and provides speed and control in dashboards.
Turning Data into Actionable Insights with Tableau
What do you like best about the product?
On a practical level, the drag-and-drop interface significantly cuts down the time between data ingestion and getting to insights. I can connect to multiple heterogeneous sources—SQL databases, APIs, and flat files—and begin building visualizations almost right away, which is especially valuable in fast-paced analytics environments.
What do you dislike about the product?
One drawback of Tableau is that performance can slow down when you’re working with large or complex datasets, especially if the underlying data model isn’t well optimized. It can also be costly to scale across teams, and its version control and collaboration capabilities aren’t as strong as those in more code-based tools. Although Tableau is excellent for visualization, more complex data transformations and advanced logic are often better handled outside of Tableau.
What problems is the product solving and how is that benefiting you?
Tableau helps solve the challenge of turning raw, scattered data into clear, actionable insights without needing heavy coding or constant manual reporting. It reduces the time spent on data analysis by offering interactive dashboards and real-time visualizations that support faster, more confident decision-making. For me, the biggest benefits are improved efficiency and clarity: I can quickly explore the data, spot trends, and share insights with stakeholders in a visually intuitive way, which ultimately boosts productivity and strengthens the quality of decisions.
Transforms Data with Interactive Ease, but Needs Speed Boost
What do you like best about the product?
I appreciate how Tableau quickly turns complex data into clear, interactive visuals. The interactive dashboards and drag-and-drop visualizations are particularly valuable, making my daily tasks easier. I also find it fairly easy to set up on the desktop side.
What do you dislike about the product?
handling very large datasets efficiently and performance sometimes slows down
What problems is the product solving and how is that benefiting you?
Tableau converts raw data into visuals, quickly turning complex data into clear, interactive visuals. Its interactive dashboards and drag-and-drop visualizations make our daily tasks easier.
No-Code Interactive Dashboards With Powerful Custom Filters
What do you like best about the product?
For me with no coding knowledge is required and I could make this tool usable by my non technical team to create an interactive dashboard, with many customised filter criterias
What do you dislike about the product?
I cannot used unstructured data and sometimes the dataset I get is really huge and without proper pre processing it’s getting slowed down
What problems is the product solving and how is that benefiting you?
We were generating reports manually and now we have made it real time auto generated
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.
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.
Dynamic, Great-Looking Dashboards with Powerful Capabilities
What do you like best about the product?
I like the dynamic capabilities on dashboards and the visual look of it
What do you dislike about the product?
The learning curve is a bit rough when it comes to row vs column
What problems is the product solving and how is that benefiting you?
I use it to look at trends and comparisons in the data, and to identify peaks or valleys.
The best dashboarding tool in my opinion
What do you like best about the product?
Easy to use and learn, can as simple or as complex as you wish to create it
What do you dislike about the product?
Customization can be tedious. I would spend hours just trying to place tiles in the correct place in the dashboard, it's honestly annoying.
What problems is the product solving and how is that benefiting you?
Creating dashboard for sales monitoring, tracking growth and profit, target monitoring, and KPI calculation (for sales performance); comparison by different metrics.
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