Stack options: Ingestion (ETL/ELT): Fivetran, Matillion, Azure Data Factory Storage: Snowflake, BigQuery, Azure Synapse, Redshift, or self-hosted if you're big enough Reverse ETL: Hightouch, Census Modeling: dbt Analytics: Tableau, Looker, Power BI, Microsoft Fabric Reporting Automation & Distribution: Rollstack Governance: Collibra, Alation Observability & Compliance: Monte Carlo, BigID AI Augmentation: Microsoft CoPilot, Cursor, Tableau Einstein for enhanced analytics, data exploration, and report generation Team Structure: CIO: Ideally hands-on, driving data culture Director/VP: Owns data strategy, oversees execution Managers: Leading ingestion, analytics, governance teams Analysts: Building reports, answering key business Qs Compliance Team: Cross-functional, integrated with BI Interns & New Hires: Learning & tackling foundational tasks Data Agencies and Auditors to supplement the team Cloud Platform: Azure for full MS integration Retention: Have a scheduled promotion scheme, ensure competitive wages, and keep growth opportunities visible—brain drain is real. Answer from DeeperThanCraterLake on reddit.com
Mopinion
mopinion.com › home › blog › top 15 business intelligence tools in 2025: an overview
Top 15 Business Intelligence Tools (BI Tools)
5 days ago - Whether you’re a growing SMB or a large enterprise, this overview helps you understand which BI tools are worth considering and how to complement them with customer feedback data. Business intelligence tools make data accessible.
DataCamp
datacamp.com › blog › top-business-intelligence-tools
The Top 6 Business Intelligence Tools For 2025 You Need to Know | DataCamp
November 25, 2024 - Data transformation: since data can come in many different formats, this aspect of BI tools is crucial for improving the compatibility and usability of the data. Users can transform data by cleaning, structuring, and aggregating it. Data visualization: the bread-and-butter of business intelligence is its ability to represent large and often complex datasets visually to deliver insights and make trends and patterns more evident.
Best Enterprise BI Team and Tool Stack?
Stack options: Ingestion (ETL/ELT): Fivetran, Matillion, Azure Data Factory Storage: Snowflake, BigQuery, Azure Synapse, Redshift, or self-hosted if you're big enough Reverse ETL: Hightouch, Census Modeling: dbt Analytics: Tableau, Looker, Power BI, Microsoft Fabric Reporting Automation & Distribution: Rollstack Governance: Collibra, Alation Observability & Compliance: Monte Carlo, BigID AI Augmentation: Microsoft CoPilot, Cursor, Tableau Einstein for enhanced analytics, data exploration, and report generation Team Structure: CIO: Ideally hands-on, driving data culture Director/VP: Owns data strategy, oversees execution Managers: Leading ingestion, analytics, governance teams Analysts: Building reports, answering key business Qs Compliance Team: Cross-functional, integrated with BI Interns & New Hires: Learning & tackling foundational tasks Data Agencies and Auditors to supplement the team Cloud Platform: Azure for full MS integration Retention: Have a scheduled promotion scheme, ensure competitive wages, and keep growth opportunities visible—brain drain is real. More on reddit.com
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October 14, 2024Between the three, which BI tool do you prefer and why?
Power BI. If you know what your doing with that tool and Azure you shouldn't need a dozen other tools. It is dominating the quadrants. It is cheap. Paginated is now included in Pro. Dwh, measures in dax, blob storage compatibility, great visualization, can migrate cubes to it, etc. Tableau is not getting investment, others are either immature, dying, recreating the wheel.... More on reddit.com
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March 5, 2023Which BI tools impressed you the most (excluding usual suspects Tableau, Power BI, etc)?
For some reason every time I started at a new place, I was thrown right into the BI evaluation process. Having gone so far down the rabbit hole, here are the tools that really impressed me. Holistics (we use this) Looker Sigma Hex Hex is more of a notebook-style tool. It’s really fast, perfect for exploratory analysis. Sigma is spreadsheet-focused, so I imagine finance folks (or any Excel lovers) would find it particularly intuitive, plus it's got solid visualization features. Looker is an old favourite around here, you'll see plenty of love (and sometimes hate) for it in this sub. Holistics builds on the ideas Looker established, where data team defines the relationship between tables and how metrics are calculated on a semantic layer, and then everyone else can use the tool to build their own reports. What I really like is how they’re innovating where Looker is lacking, like with their visualizations. They've got this "dashboard as code" feature that opens up a lot of creative possibilities for dashboard designs. More on reddit.com
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May 24, 2024What tools do you use
I’m a BI manager, so i mostly use powerpoint More on reddit.com
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June 20, 2024What are business intelligence tools used for?
Business intelligence tools help organizations analyze data, build dashboards, and make informed decisions. They turn raw data into visual reports and insights that guide strategy and operations.
estuary.dev
estuary.dev › blog › business-intelligence-tools
Top 9 Business Intelligence Tools for Real-Time Analytics in 2025
What are Analytics and Business Intelligence Platforms?
Gartner defines analytics and business intelligence platforms (ABI) as those that enable organizations to model, analyze and visualize data to support informed decision making and value creation. These platforms facilitate the preparation of data and the creation of interactive dashboards, reports and visualizations to uncover patterns, predict trends and optimize operations. By doing so, they empower users to collaborate and effectively communicate the dimensions and measures that drive their organization. The platforms may also optionally include the ability to create, modify or enrich a semantic model, including business rules.
Analytics and business intelligence platforms integrate data from multiple sources, such as databases, spreadsheets, cloud services and external data feeds, to provide a unified view of data, breaking down silos and transforming raw data into meaningful insights. They also allow users to clean, transform and prepare data for analysis, in addition to creating data models that define relationships between different data entities.
gartner.com
gartner.com › all categories › analytics and business intelligence platforms
Best Analytics and Business Intelligence Platforms Reviews 2025 ...
Which BI tools support real-time analytics?
Platforms like Looker, Tableau, Power BI, Superset, and Tinybird can support real-time analytics when paired with fast, continuously updated data sources or pipelines.
estuary.dev
estuary.dev › blog › business-intelligence-tools
Top 9 Business Intelligence Tools for Real-Time Analytics in 2025
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Gartner
gartner.com › all categories › analytics and business intelligence platforms
Best Analytics and Business Intelligence Platforms Reviews 2025 | Gartner Peer Insights
Find the top Analytics and Business Intelligence Platforms with Gartner. Compare and filter by verified product reviews and choose the software that’s right for your organization.
Funnel
funnel.io › blog › 5-bi-tools-for-2024
Top 5 BI tools (and 3 MI tools) for 2024
May 1, 2025 - In addition to data integration and reporting, Domo's Beast Mode uses predictive analytics to show you how to improve and scale your business based on historical data. Domo supports collaboration with in-context chat and task tracking, facilitating teamwork to find insights, create content, and boost productivity. Plus, Domo's predictive AI engine is called Mr. Roboto. What's not to love? ... To complicate matters further, we're also going to share our top three marketing intelligence tools.
Ovaledge
ovaledge.com › blog › business-intelligence-tools
Top Business Intelligence Tools in 2026: A Practical Buyer’s Guide
1 week ago - Looker is a modern business intelligence and analytics platform built around a centralized semantic modeling layer called LookML. Rather than focusing only on dashboards, Looker emphasizes consistent metrics, governed data access, and scalable analytics on top of cloud data warehouses. It is commonly used by organizations with strong data engineering capabilities that want to ensure metric consistency across teams and embed analytics into internal tools or products.
Powermetrics
powermetrics.app › best-business-intelligence-and-analytics-software
The Best Business Intelligence Software | PowerMetrics
Our tools effortlessly connect ... intelligence and data collection tool that connects you with diverse data sources, including Google Data Studio and Zoho Analytics, and offers visual insights through charts, graphs, and more, your search ends here....
Estuary
estuary.dev › blog › business-intelligence-tools
Top 9 Business Intelligence Tools for Real-Time Analytics in 2025
July 21, 2025 - Looking for BI tools that keep up with your data? This guide covers 9 business intelligence solutions that power real-time dashboards and smarter decisions.
Research.com
research.com › software › best-business-intelligence-software
15 Best Business Intelligence Software for 2025 | Research.com
April 18, 2025 - These programs are available in various formats, including on-campus, online, and blended learning. ... SAS Institute, SAP, and Microsoft are the top three companies in the BI software market, holding 8.55%, 8.32%, and 8.18% market shares, ...
Reddit
reddit.com › r/businessintelligence › best enterprise bi team and tool stack?
r/BusinessIntelligence on Reddit: Best Enterprise BI Team and Tool Stack?
October 14, 2024 -
A lot of discussion on this sub focuses on SMBs and opensource tools. If you've got an enterprise BI budget, what's the team and stack? Like all things it depends but, what's working for you right now? What would you change?
Top answer 1 of 23
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Stack options: Ingestion (ETL/ELT): Fivetran, Matillion, Azure Data Factory Storage: Snowflake, BigQuery, Azure Synapse, Redshift, or self-hosted if you're big enough Reverse ETL: Hightouch, Census Modeling: dbt Analytics: Tableau, Looker, Power BI, Microsoft Fabric Reporting Automation & Distribution: Rollstack Governance: Collibra, Alation Observability & Compliance: Monte Carlo, BigID AI Augmentation: Microsoft CoPilot, Cursor, Tableau Einstein for enhanced analytics, data exploration, and report generation Team Structure: CIO: Ideally hands-on, driving data culture Director/VP: Owns data strategy, oversees execution Managers: Leading ingestion, analytics, governance teams Analysts: Building reports, answering key business Qs Compliance Team: Cross-functional, integrated with BI Interns & New Hires: Learning & tackling foundational tasks Data Agencies and Auditors to supplement the team Cloud Platform: Azure for full MS integration Retention: Have a scheduled promotion scheme, ensure competitive wages, and keep growth opportunities visible—brain drain is real.
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My org uses the following Extraction: Azure Data factory Qlik replicate (trying to deprecate) Load / Transform: Databricks CI/CD: Azure Devops Data Viz: Power BI (Premium) Other than trying to get rid of the legacy extraction from Qlik, our biggest issue is trying to keep a handle on the business side usage of Power BI, some of the things they manage to create just chew up the tenant. Also the balance between freedom and cost risk on databricks is a challenge, we've had some business units spin up their own databricks workspaces with huge clusters running inefficient code.. so that was fun. The biggest challenge in a big org is always the politics / people though :) Team is a mix of Engineers, Modellers, BI devs, and a couple of architects, roughly 2/3 contractors delivering projects -> want to push this more to full timers. Other parts of the business do integration, cloud management, security, project management and business analysis. Engagement with business is via direct stakeholder meetings, the comms teams are trying to implement a 'franchise model' as recommended by Gartner.
Medium
medium.com › @hugolu87 › every-single-bi-tool-ever-ranked-95630f92d7e6
Every single BI Tool Ever Ranked. BI is a necessary evil but when will it… | by Hugo Lu | Medium
April 28, 2025 - BI is a necessary evil but when will it end?
Reddit
reddit.com › r/businessintelligence › between the three, which bi tool do you prefer and why?
r/BusinessIntelligence on Reddit: Between the three, which BI tool do you prefer and why?
March 5, 2023 -
I know that the two most popular BI softwares are PowerBI and Tableau. However, there is a monthly fee for both of them and I am not in the financial position to subscribe to either of them. I have a Mac laptop so I won't be able to download PowerBI. I know that there is Tableau Public but there are restrictions to it so the experience won't be the same with the regular Tableau. As a result, I am looking into three other BI tools : Apache Superset, Metabase and Lightdash.
Top answer 1 of 19
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Power BI. If you know what your doing with that tool and Azure you shouldn't need a dozen other tools. It is dominating the quadrants. It is cheap. Paginated is now included in Pro. Dwh, measures in dax, blob storage compatibility, great visualization, can migrate cubes to it, etc. Tableau is not getting investment, others are either immature, dying, recreating the wheel....
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Superset, Metabase, Lightdash are all open source but suit different teams. Caveat I’m the creator of lightdash!! Superset has the most customisation options for your users (think Tableau). So if you have technical users that want deep customisation of their charts it’s probably the way to go. Metabase is more accessible to less technical users in my experience. Fewer chart customisations but it’s faster to get to a good looking dashboard. The table interface is intuitive for all. And there’s a low-code SQL builder if that’s your thing Lightdash 👋 is the newest of the bunch. It’s built on a semantic layer (so you pre-define metrics/dimensions as code) similar to Looker and it’s entirely configured from dbt. It requires the least from your users, they just choose from a selection of metrics. But the data team need to invest in maintaining the semantic layer. Hope that helps!
Atlassian
atlassian.com › data › business-intelligence › 10-data-visualization-tools
Top 10 BI Tools for Data Visualization & Analysis | Atlassian
It’s not the easiest business ... than other massive business intelligence tools. One user on Quora used this comparison: Tableau is like iOS, while Power BI is like Android....
Integrate.io
integrate.io › blog › top-business-intelligence-tools
Top 17 BI Tools for Modern Analytics in 2026 | Integrate.io | Integrate.io
November 28, 2023 - One of the oldest BI tools on this list, Qlik has helped businesses visualize and interpret data since 1994. Features include an excellent range of data source connections, drag-and-drop visualizations, self-service, data storytelling, smart search, and progressive creation. Suitable for businesses of all sizes, Qlik will remain one of the top business intelligence tools in 2026.
Tableau
tableau.com
Business Intelligence and Analytics Software | Tableau
A governed, flexible environment, to explore, model, and visualize data anytime anywhere–even offline–then discover and act on intelligent insights quickly. ... See how you can turn trusted insights into autonomous action, anytime, anywhere, with the world's first agentic analytics platform. ... Delivering trusted data across your business is essential.
ThoughtSpot
thoughtspot.com › data-trends › business-intelligence › business-intelligence-tools
10 Top Business Intelligence Tools In 2025
3 weeks ago - This keeps insights accessible right where decisions are made, so your team can act on data without missing a beat. ... Power BI is a business intelligence tool that turns raw data into insights through dashboards and reports.
G2
g2.com › categories › business-intelligence
Best Business Intelligence Software: User Reviews from December 2025
Additionally, business intelligence consulting services assist organizations in implementing and optimizing BI tools, ensuring they fully leverage their data capabilities. BI software solutions feature dashboards, reporting, and predictive analytics that simplify complex data sets, making it easier to discern trends and patterns. Top ...
dipoleDIAMOND
dipolediamond.com › home › blog › 10 best business intelligence tools of the year: pros & cons
10 Best Business Intelligence Tools of The Year: Pros & Cons
July 28, 2025 - Gone are the days when only IT teams could handle BI tools. Self-service BI empowers non-technical users to access and analyze data without needing specialized skills. This democratization of data fosters collaboration and speeds up decision-making. As BI expert Bernard Marr notes, “Self-service BI is changing the game by putting power into the hands of end-users, enabling faster and more agile decision-making.” · Choosing the right business intelligence tool requires careful evaluation.
Bytebio
en.bytebio.com › blog › 4-best-business-intelligence-tools
4 of the best BI tools for your business
Another feature of the platform is the generation of custom reports that are easy to understand and can be shared. ... Power BI is one of the most acclaimed business intelligence tools, being part of Microsoft's gigantic suite of services since 2015.
Zapier
zapier.com › app picks › best apps
The best business intelligence (BI) software | Zapier
August 5, 2024 - Fewer automated/immediate insight features (natural language insights, data visualization generators, etc.) than other tools · When exploring reviews of the top-rated BI software, I noticed Tableau was widely praised for its data visualization features.
The Digital Project Manager
thedigitalprojectmanager.com › home › tools › 25 best bi tools for better decisions in 2025
10 Best Business Intelligence Tools (BI Tools) Of 2025
November 14, 2025 - Discover the best business intelligence tools for your team. Compare features, pros + cons, pricing, and more in my complete guide.