What is Tableau and what are its top alternatives?
Tableau is a popular data visualization tool that allows users to create interactive and shareable dashboards. It is known for its easy-to-use drag-and-drop interface, powerful analytics capabilities, and wide range of data connectivity options. However, Tableau can be expensive for small businesses, has limited support for real-time data, and can be resource-intensive for large datasets.
- Power BI: Microsoft Power BI is a strong competitor to Tableau, offering similar data visualization and analytics features. Power BI is known for its integration with other Microsoft products, ease of use, and lower cost. However, some users find its learning curve steep compared to Tableau.
- QlikView: QlikView is another popular data visualization tool that focuses on in-memory data processing and associative data models. It offers powerful data exploration capabilities and real-time analytics, but can be more complex to use compared to Tableau.
- Looker: Looker is a data analytics platform that emphasizes data modeling and exploration. It offers advanced features for building data models and exploring data, but may require more technical expertise compared to Tableau.
- Domo: Domo is a cloud-based business intelligence platform that offers data visualization, dashboarding, and collaboration features. It is known for its ease of use and wide range of data connectors, but may lack some advanced analytics capabilities found in Tableau.
- Sisense: Sisense is a business intelligence tool that focuses on simplifying complex data analysis. It offers powerful data visualization capabilities and AI-powered analytics, but some users find its interface less intuitive than Tableau.
- Google Data Studio: Google Data Studio is a free data visualization tool that integrates with other Google products. It is known for its ease of use and cloud-based collaboration features, but may not offer as many advanced analytics options as Tableau.
- Dundas BI: Dundas BI is a data analytics platform that offers advanced data visualization and customization capabilities. It is known for its flexibility in creating custom dashboards and reports, but may require more setup and configuration compared to Tableau.
- Chartio: Chartio is a cloud-based data visualization tool that focuses on creating interactive dashboards. It offers easy integration with various data sources and real-time data visualization, but may lack some of the advanced analytics features found in Tableau.
- Mode Analytics: Mode Analytics is a data analysis platform that allows users to explore, visualize, and share data. It offers powerful SQL querying capabilities and collaboration features, but may not provide as many options for creating interactive dashboards compared to Tableau.
- Metabase: Metabase is an open-source business intelligence tool that allows users to create interactive dashboards and charts. It is known for its easy setup and use, but may not offer as many advanced analytics features and data connectors as Tableau.
Top Alternatives to Tableau
- DOMO
Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform. ...
- Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...
- Looker
We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way. ...
- QlikView
It is a business discovery platform that provides self-service BI for all business users in organizations. With this tool, you can analyze data and use your data discoveries to support decision making. ...
- Qlik Sense
It helps uncover insights that query-based BI tools simply miss. Our one-of-a-kind Associative Engine brings together all your data so users can freely search and explore to find new connections. AI and cognitive capabilities offer insight suggestions, automation and conversational interaction. ...
- Power BI
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. ...
- Sisense
It is making business intelligence (BI) analytics easy with its simple drag-and-drop and scalable end-to-end BI processes that help to prepare, analyze, and visualize multiple complex datasets quickly. ...
- Qlik
Turn your data into business value faster with Qlik, the only end-to-end data integration and data analytics solutions for modern business intelligence. ...
Tableau alternatives & related posts
DOMO
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I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.
We are currently exploring Elasticsearch and Splunk for our centralized logging solution. I need some feedback about these two tools. We expect our logs in the range of upwards > of 10TB of logging data.
- Real time in app customer chat support4
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Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.
We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.
We are a consumer mobile app IOS/Android startup. The app is instrumented with branch and Firebase. We use Google BigQuery. We are looking at tools that can support engagement and cohort analysis at an early stage price which we can grow with. Data Studio is the default but it would seem Looker provides more power. We don't have much insight into Amplitude other than the fact it is a popular PM tool. Please provide some insight.
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Looking for the best analytics software for a medium-large-sized firm. We currently use a Microsoft SQL Server database that is analyzed in Tableau desktop/published to Tableau online for users to access dashboards. Is it worth the cost savings/time to switch over to using SSRS or Power BI? Does anyone have experience migrating from Tableau to SSRS /or Power BI? Our other option is to consider using Tableau on-premises instead of online. Using custom SQL with over 3 million rows really decreases performances and results in processing times that greatly exceed our typical experience. Thanks.
Which among the two, Kyvos and Azure Analysis Services, should be used to build a Semantic Layer?
I have to build a Semantic Layer for the data warehouse platform and use Power BI for visualisation and the data lies in the Azure Managed Instance. I need to analyse the two platforms and find which suits best for the same.
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Hello everyone,
My team and I are currently in the process of selecting a Business Intelligence (BI) tool for our actively developing company, which has over 500 employees. We are considering open-source options.
We are keen to connect with a Head of Analytics or BI Analytics professional who has extensive experience working with any of these systems and is willing to share their insights. Ideally, we would like to speak with someone from companies that have transitioned from proprietary BI tools (such as PowerBI, Qlik, or Tableau) to open-source BI tools, or vice versa.
If you have any contacts or recommendations for individuals we could reach out to regarding this matter, we would greatly appreciate it. Additionally, if you are personally willing to share your experiences, please feel free to reach out to me directly. Thank you!