What is Qlik Sense and what are its top alternatives?
Qlik Sense is a powerful business intelligence tool that enables users to create interactive visualizations and dashboards for data analysis. Its key features include intuitive drag-and-drop interface, in-memory data processing, and the ability to connect to multiple data sources. However, some limitations of Qlik Sense include its steep learning curve for beginners and the need for technical expertise to maximize its full potential.
- Tableau: Tableau is a popular data visualization tool known for its easy-to-use interface and robust feature set. Key features include drag-and-drop functionality, powerful analytics capabilities, and a large community for support. Pros of Tableau include its user-friendly interface and broad range of data connectors, while cons include its high pricing for enterprise features.
- Microsoft Power BI: Microsoft Power BI is a leading BI tool that offers data visualization, self-service analytics, and AI capabilities. Key features include seamless integration with Microsoft products, advanced analytics tools, and easy collaboration with Power BI service. Pros of Power BI include its familiarity for Microsoft users and cost-effective pricing, while cons include limitations in handling large datasets.
- Looker: Looker is a modern BI platform that offers data exploration and data visualization for businesses. Key features include data modeling, data discovery, and embedded analytics. Pros of Looker include its robust data modeling capabilities and data-driven insights, while cons include its limited customization options for visualizations.
- Domo: Domo is a cloud-based BI platform that offers real-time data visualization and analytics solutions. Key features include customizable dashboards, data integration, and collaboration tools. Pros of Domo include its intuitive interface and ability to handle large datasets, while cons include its dependency on internet connectivity for functionality.
- Sisense: Sisense is a business intelligence software that provides data analysis and visualization tools for organizations. Key features include in-chip technology, data preparation, and AI-powered analytics. Pros of Sisense include its fast data processing and scalable architecture, while cons include its pricing for advanced features.
- Zoho Analytics: Zoho Analytics is a self-service BI and analytics tool that helps businesses create interactive dashboards and reports. Key features include data blending, predictive analytics, and embedded analytics. Pros of Zoho Analytics include its affordability for small businesses and ease of use, while cons include limitations in handling complex data relationships.
- Yellowfin BI: Yellowfin BI is an analytics and business intelligence platform that offers data visualization, storytelling, and collaboration features. Key features include automated insights, mobile BI, and AI-powered analytics. Pros of Yellowfin BI include its strong visualization capabilities and user-friendly interface, while cons include its lower market recognition compared to other BI tools.
- GoodData: GoodData is a cloud-based BI platform that helps businesses create data-driven insights and analytics. Key features include embedded analytics, machine learning, and data governance tools. Pros of GoodData include its scalable architecture and customization options, while cons include its complexity in setting up and configuring data sources.
- Mode Analytics: Mode Analytics is a collaborative analytics platform that offers SQL-based querying, Python notebooks, and interactive visualizations. Key features include version control, data governance, and advanced analytics libraries. Pros of Mode Analytics include its ease of collaboration and advanced analytics capabilities, while cons include a learning curve for non-technical users.
- Pyramid Analytics: Pyramid Analytics is an enterprise BI platform that offers self-service analytics, governance, and security features. Key features include multi-authoring, AI-driven analytics, and dynamic report distribution. Pros of Pyramid Analytics include its robust security and governance capabilities, while cons include its complexity in setting up and administration.
Top Alternatives to Qlik Sense
QlikViewIt 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. ...
TableauTableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click. ...
SisenseIt 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. ...
Power BIIt aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards. ...
LookerWe'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. ...
Google AnalyticsGoogle Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications. ...
Google Tag ManagerTag Manager gives you the ability to add and update your own tags for conversion tracking, site analytics, remarketing, and more. There are nearly endless ways to track user behavior across your sites and apps, and the intuitive design lets you change tags whenever you want. ...
MixpanelMixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience. ...
Qlik Sense alternatives & related posts
related QlikView posts
- Capable of visualising billions of rows6
- Intuitive and easy to learn1
- Responsive1
- Very expensive for small companies3
related Tableau posts
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.
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!
related Sisense posts
- Cross-filtering18
- Database visualisation2
- Powerful Calculation Engine2
- Access from anywhere2
- Intuitive and complete internal ETL2
- Azure Based Service1
related Power BI posts
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.
- Real time in app customer chat support4
- GitHub integration4
- Reduces the barrier of entry to utilizing data1
- Price3
related Looker posts
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.
- Free1.5K
- Easy setup927
- Data visualization891
- Real-time stats698
- Comprehensive feature set406
- Goals tracking182
- Powerful funnel conversion reporting155
- Customizable reports139
- Custom events try83
- Elastic api53
- Updated regulary15
- Interactive Documentation8
- Google play4
- Walkman music video playlist3
- Industry Standard3
- Advanced ecommerce3
- Irina2
- Easy to integrate2
- Financial Management Challenges -2015h2
- Medium / Channel data split2
- Lifesaver2
- Confusing UX/UI11
- Super complex8
- Very hard to build out funnels6
- Poor web performance metrics4
- Very easy to confuse the user of the analytics3
- Time spent on page isn't accurate out of the box2
related Google Analytics posts
This is my stack in Application & Data
JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB
My Utilities Tools
Google Analytics Postman Elasticsearch
My Devops Tools
Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack
My Business Tools
Slack
Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).
Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.
Google Tag Manager
related Google Tag Manager posts
Hi,
This is a question for best practice regarding Segment and Google Tag Manager. I would love to use Segment and GTM together when we need to implement a lot of additional tools, such as Amplitude, Appsfyler, or any other engagement tool since we can send event data without additional SDK implementation, etc.
So, my question is, if you use Segment and Google Tag Manager, how did you define what you will push through Segment and what will you push through Google Tag Manager? For example, when implementing a Facebook Pixel or any other 3rd party marketing tag?
From my point of view, implementing marketing pixels should stay in GTM because of the tag/trigger control.
If you are using Segment and GTM together, I would love to learn more about your best practice.
Thanks!
Mixpanel
- Great visualization ui144
- Easy integration108
- Great funnel funcionality78
- Free58
- A wide range of tools22
- Powerful Graph Search15
- Responsive Customer Support11
- Nice reporting2
- Messaging (notification, email) features are weak2
- Paid plans can get expensive2
- Limited dashboard capabilities1
related Mixpanel posts
Functionally, Amplitude and Mixpanel are incredibly similar. They both offer almost all the same functionality around tracking and visualizing user actions for analytics. You can track A/B test results in both. We ended up going with Amplitude at BaseDash because it has a more generous free tier for our uses (10 million actions per month, versus Mixpanel's 1000 monthly tracked users).
Segment isn't meant to compete with these tools, but instead acts as an API to send actions to them, and other analytics tools. If you're just sending event data to one of these tools, you probably don't need Segment. If you're using other analytics tools like Google Analytics and FullStory, Segment makes it easy to send events to all your tools at once.
Hi there, we are a seed-stage startup in the personal development space. I am looking at building the marketing stack tool to have an accurate view of the user experience from acquisition through to adoption and retention for our upcoming React Native Mobile app. We qualify for the startup program of Segment and Mixpanel, which seems like a good option to get rolling and scale for free to learn how our current 60K free members will interact in the new subscription-based platform. I was considering AppsFlyer for attribution, and I am now looking at an affordable yet scalable Mobile Marketing tool vs. building in-house. Braze looks great, so does Leanplum, but the price points are 30K to start, which we can't do. I looked at OneSignal, but it doesn't have user flow visualization. I am now looking into Urban Airship and Iterable. Any advice would be much appreciated!