What is Sisense and what are its top alternatives?
Sisense is a business intelligence software that allows users to easily prepare, analyze, and visualize complex data sets. Key features of Sisense include drag-and-drop functionality for data manipulation, interactive dashboards for data visualization, and the ability to handle large data sets. However, some limitations of Sisense include a steep learning curve for new users and a higher price point compared to other BI tools.
- Tableau: Tableau is a popular data visualization tool known for its user-friendly interface and robust features. Key features include drag-and-drop functionality, interactive dashboards, and a wide range of data connectors. Pros of Tableau include a large user community and vast customization options, while cons include a higher price point for enterprise versions.
- Power BI: Power BI is a business analytics tool by Microsoft that allows users to easily create interactive reports and dashboards. Key features include seamless integration with Microsoft products, AI-powered insights, and affordable pricing plans. Pros of Power BI include strong integration capabilities with Microsoft ecosystem, while cons include limited customization options compared to other tools.
- Looker: Looker is a data platform that offers data exploration and visualization tools for businesses. Key features include powerful SQL-based queries, data modeling capabilities, and real-time dashboards. Pros of Looker include robust data modeling capabilities and scalable architecture, while cons include a steeper learning curve for new users.
- Qlik Sense: Qlik Sense is a self-service data visualization tool that allows users to create interactive dashboards and reports. Key features include associative data exploration, data storytelling capabilities, and advanced analytics tools. Pros of Qlik Sense include powerful data exploration capabilities and easy-to-use interface, while cons include a higher initial setup cost.
- Domo: Domo is a cloud-based business intelligence platform that offers real-time data visualization and collaboration tools. Key features include customizable dashboards, mobile accessibility, and pre-built connectors to popular data sources. Pros of Domo include intuitive interface and extensive collaboration features, while cons include limited customization options for advanced users.
- Yellowfin BI: Yellowfin BI is a business intelligence tool that offers data visualization, reporting, and collaboration features. Key features include data storytelling capabilities, automated insights, and embedded analytics. Pros of Yellowfin BI include user-friendly interface and comprehensive reporting capabilities, while cons include limited data preparation features compared to other tools.
- Mode Analytics: Mode Analytics is a collaborative analytics platform that allows users to run SQL queries, create interactive dashboards, and share insights with team members. Key features include SQL-based queries, Python and R integrations, and version control for analysis. Pros of Mode Analytics include collaborative features and flexible pricing plans, while cons include limited support for non-SQL data sources.
- Sisense: Sisense is a business intelligence software that allows users to easily prepare, analyze, and visualize complex data sets. Key features of Sisense include drag-and-drop functionality for data manipulation, interactive dashboards for data visualization, and the ability to handle large data sets. Pros include powerful visualization capabilities and scalable architecture, while cons include a higher price point and steep learning curve for new users.
- Periscope Data: Periscope Data is a data analysis platform that offers SQL querying, data visualization, and collaboration tools. Key features include SQL-based queries, interactive dashboards, and version control for analysis. Pros of Periscope Data include powerful SQL querying capabilities and real-time dashboards, while cons include limited support for non-SQL data sources.
- GoodData: GoodData is a business intelligence platform that offers cloud-based analytics tools for businesses. Key features include embedded analytics, data governance capabilities, and AI-powered insights. Pros of GoodData include scalable architecture and embedded analytics options, while cons include limited customization options and higher pricing for enterprise features.
Top Alternatives to Sisense
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. ...
Qlik SenseIt 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 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. ...
DOMODomo: 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. ...
QlikTurn your data into business value faster with Qlik, the only end-to-end data integration and data analytics solutions for modern business intelligence. ...
PeriscopePeriscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast. ...
ModeCreated by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects. ...
Sisense alternatives & related 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 Qlik Sense 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
Looker , Stitch , Amazon Redshift , dbt
We recently moved our Data Analytics and Business Intelligence tooling to Looker . It's already helping us create a solid process for reusable SQL-based data modeling, with consistent definitions across the entire organizations. Looker allows us to collaboratively build these version-controlled models and push the limits of what we've traditionally been able to accomplish with analytics with a lean team.
For Data Engineering, we're in the process of moving from maintaining our own ETL pipelines on AWS to a managed ELT system on Stitch. We're also evaluating the command line tool, dbt to manage data transformations. Our hope is that Stitch + dbt will streamline the ELT bit, allowing us to focus our energies on analyzing data, rather than managing it.
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.
DOMO
related DOMO posts
related Qlik posts
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!
Periscope
- Great for learning and teaching people SQL6
- Gorgeous "share-able" and "embeddable" dashboards4
related Periscope posts
Mode
- Empowering for SQL-first analysts4
- Easy report building3
- Collaborative query building3
- In-app customer chat support2
- Awesome online and chat support2
- Integrated IDE with SQL + Python for analysis2
- Auto SQL query to Python dataframe1