Sisense vs Pyramid Analytics

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Our analysts compared Sisense vs Pyramid Analytics based on data from our 400+ point analysis of Business Intelligence Tools, user reviews and our own crowdsourced data from our free software selection platform.

Pyramid Analytics Software Tool

Product Basics

Sisense is an end-to-end data analytics platform that makes data discovery and analytics accessible to customers and employees alike via an embeddable, scalable architecture. With a back-end powered by in-chip technology, it allows analysts to blend large datasets from a variety of sources into a single cohesive database for the entire company. On the front-end, users of all technical skill levels can craft visualizations, reports and dashboards to explore and share insights that drive businesses forward. Its AI-driven, cloud-native analytics offering, Fusion, embeds into business workspaces and empowers teams to view key metrics and data insights where they work.

Designed for companies of all sizes, it can be deployed on-premises, as a private cloud-hosted SaaS, as a fully managed SaaS or via a hybrid strategy. It is available via annual subscription pricing and offered in three packages: its main offering BI & Analytics Teams, its embedded analytics component Product Teams and code-driven cloud analytics through Cloud Data Teams.
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Pyramid Analytics offers an enterprise-grade operating system that scales smoothly from single-user to organization-wide implementation. It’s OS agnostic and can be deployed in the cloud or on-premise.

It promotes data literacy by allowing different levels of users to utilize different capabilities. It is designed to support an organization’s decision workflow end-to-end from self-service analytics to forecasting.
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$1,500 Monthly, Freemium
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Product Assistance

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Product Insights

  • Brings Intelligence to Every User: Empower every user with data literacy via access to an intuitive data workflow. Leverage self-service BI to connect, mash up, blend and analyze data in a user-friendly, visual framework that is easy to manipulate. 
  • Optimizes Data Prep: Eliminate barriers between analysts and the data they need to reach answers through single-stack technology. Reduce the time needed for data prep and clean data within the interface without changing any of the original data in its source. Perform error-free analysis with better quality assurance. Incorporate everything from a database to ETL to analysis to visualizations within a single architecture in an end-to-end BI system.
  • Delivers Analysis Quickly: Through its proprietary AI-powered in-chip technology, perform thousands of queries on massive amounts of data and return results at faster speeds with in-memory processing, allowing for more efficient decision making.
  • Keeps Data Secure: Leverage advanced machine learning, detect anomalies in the data and send alerts instantly. Set role-based access restrictions, safeguard sensitive data from users who shouldn’t have access to it, and maintain greater oversight and transparency. Offer scalable data security protocols at the process level, system level, object level and data level to ensure tight security. Incorporate built-in recovery and audit strategies to prevent data loss as well as protect the organization’s audit trails.
  • Uncovers Actionable Insights: Make predictions and business decisions based on facts by analyzing data trends and identifying patterns. Improve business practices, reduce oversight errors, boost ROI and streamline general business efficiency. Utilize smart suggestions to best-match visualizations, uncover patterns and highlight trends in data. Build narratives that facilitate deeper interaction with data, and keep a digital assistant analyst at the ready.
  • Promotes Collaboration: Collaborate with others to share reports and insights on KPIs and goals, while ensuring data security compliance by keeping users on a secure network.
  • Offers Customization: Customize the platform to meet users’ needs via an open API framework. Only pay for features they’ll use and get exactly what they want out of a BI tool.
  • Scalable: Agilely adapt to users’ needs. Minimize costs via reasonable pricing and grow with business. Scale to tens of thousands of users and terabytes of data, while powering complex analysis with in-chip machine learning technology.
  • Provides Insights On-the-Go: Stay connected to data that fuels business decisions even while on the move. Access dashboards on any device and elect to receive notifications and real-time updates.
  • Try Before You Buy: Test it hands-on through a 14-day free trial. 
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  • Support Strategy: Execute analytics strategies with smooth implementation, management and support. Reduces silos by making data available to the entire organization.
  • Perform Self-Service Analytics: Maximizes value and streamlines operational investments through the delivery of faster, better insights. Self-service and a transparent user experience promote data literacy.
  • Create Compelling Visualizations: Clearly communicate insights through intuitive, dynamic graphics, including charts, graphs, tables and interactive visualizations.
  • Identify and Address Business Problems: Recognizes data trends and identifies problem areas while providing suggestions for rectifying them.
  • Make Data-Driven Business Decisions: Create models to understand operational data and forecast how changes will affect the business to make more informed decisions.
  • Perform One-Click Analytics: Draw data from both traditional and big data sources through machine learning analytics to make data processing simple. Augmented guidance features help guide users to answer key business questions.
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  • In-Chip Analytics: Free up processing power for other tasks, improve the speed of processing and reduce downtime caused by overworked RAM or disks. Combine a columnar database with smart algorithms in an in-chip cache. Choose between either disk or RAM, rather than solely disk or RAM, as an alternative to in-memory processing.
  • Data Connectivity: Draw from many different data sources and formats with hundreds of built-in connectors with cloud applications such as Zendesk and Salesforce. Drag and drop to import from databases and spreadsheets. Pull directly from CRMs or embed the BI interface into the CRM, providing versatility in workflow options.
  • Data Blending: Blend huge datasets from a range of sources instantly into one centralized location, and receive a holistic view of all data. Investigate further through slicing, dicing and exploration of data via a simple, accessible interface.
  • Data Visualizations: Organize user data into easy-to-understand visualizations like bar charts, scattergrams, pie charts, line graphs, interactive maps, etc. Access a rich library of prebuilt graphics and widgets or open source designs, and easily manipulate them from within an intuitive UI. 
  • Interactive Dashboards: Drag-and-drop to build interactive dashboards that encourage deeper data exploration. Help users to build widgets and filters, and leverage AI-assisted exploration and automatic analysis to provide further insight. 
  • Real-Time Insights: Set up and maintain live connections to data and monitor dashboards in real time. Establish push notification alerts to receive automatic updates when changes to KPIs occur. 
  • Single-Stack System: Perform a range of data preparation tasks, such as exploration, analysis, visualization and collaboration, without needing to switch to other platforms.
  • Publish and Share: Enable everyone in an organization to access and filter information with web-based dashboards. Publish a dashboard with one click and open it to the entire company for easy access without needing to download files.
  • Augmented Intelligence: Leverage Sisense Pulse, powered by machine learning algorithms, to continually monitor KPIs and receive proactive alerts when anomalies and variations are detected. Automate previously manual tasks and data-driven workflows, personalize the BI experience with a tailored command center and deliver a dynamically updated feed that keeps users up to date.
  • Embedded Analytics: Turn data into data products that deliver BI to clients with a white label solution in Product Teams.
  • R Integration: Perform predictive analysis and access better BI reporting and decision-making through R programming language.
  • Add-Ons: Extend the functionality of the platform by downloading and equipping any number of free and premium native and third party extensions from the marketplace.
  • Natural Language Processing: Empower users of all data literacy levels to derive the full value of their insights through natural language generation with Sisense Narratives. Simplify into everyday language the complexities of data analysis for accessibility and easier understanding through AI-generated text-based insights.
  • Mobile BI: Access BI on-the-go directly from iOS and Android phones with a native app that renders mobile-optimized responsive dashboards with touchscreen integration. Alternatively, access the platform through a browser from any laptop, tablet or smartphone, no downloads or installation required.
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  • Advanced Analytics: Run advanced queries on large datasets and perform analysis on business questions.
  • Machine Learning Models: Create data models that adapt as the software learns to “anticipate” future needs and queries.
  • Drag-and-Drop: The Business User ETL offers a drag-and-drop interface that makes cleaning and preparing data for analysis easy.
  • Ad-Hoc Reporting: Create spur-of-the-moment reports to answer specific business questions rather than formulating on a recurring schedule.
  • Graphical Data Representation: A variety of graphical visualization options to depict datasets in the most aesthetically pleasing and intuitive way. Some of these include bar graphs, pie charts, scattergrams and more.
  • Content Sharing: The publish module can create pixel-perfect reports and embed them into a range of export formats, including emails and HTML.
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Product Ranking

#11

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#29

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Analyst Rating Summary

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Analyst Ratings for Functional Requirements Customize This Data Customize This Data

Sisense
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Advanced Analytics Augmented Analytics Data Management Data Pre-processing Data Transformation Data Visualization Embedded Analytics Capabilities Geospatial Visualizations And Analysis Mobile Capabilities Platform Capabilities Reporting 82 49 100 100 97 87 93 68 47 83 87 0 25 50 75 100
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Analyst Ratings for Technical Requirements Customize This Data Customize This Data

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User Sentiment Summary

Great User Sentiment 1979 reviews
Great User Sentiment 144 reviews
88%
of users recommend this product

Sisense has a 'great' User Satisfaction Rating of 88% when considering 1979 user reviews from 5 recognized software review sites.

89%
of users recommend this product

Pyramid Analytics has a 'great' User Satisfaction Rating of 89% when considering 144 user reviews from 3 recognized software review sites.

5.0 (22)
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4.3 (720)
3.9 (9)
4.5 (357)
4.1 (7)
4.4 (765)
4.5 (128)
4.4 (115)
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Awards

SelectHub research analysts have evaluated Sisense and concluded it earns best-in-class honors for Data Pre-processing.

Data Pre-processing Award

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Synopsis of User Ratings and Reviews

Customer Service and Support : More than 92% of users mentioning customer support said that responses to their queries were prompt and informative, and that there’s good access to online user communities.
Data Integration: Approximately 92% of users who mention data source integrations express satisfaction with its ability to import, blend and streamline data from multiple sources into a cohesive database.
Data Visualization: Citing stunning dashboards with a range of visually powerful visual tools like widgets, graphs and scattergrams, 85% of users who mention data visualization say it’s a strong feature of Sisense.
Ease of Use: More than 93% of users mentioning the platform’s ease of use praise it as user-friendly, citing self-service BI features such as interactive dashboards and data visualizations.
Cost: Among users who comment on its pricing, more than 85% said that Sisense offers great value for its cost, with some reviews coming from long-time customers.
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Support: All users who mentioned support say that support teams were quick to reply and help out.
Performance: The platform can quickly make insights available to businesses, as reported by all reviewers who specified performance.
Ease of use: The system is easy to implement, deploy and integrate, according to about 83% of users who talked about ease of use.
Connectivity: About 75% of users who spoke about connectivity mentioned the solution’s ability to integrate and work with data from multiple sources.
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Data Preparation and Modeling: About 50% of users who mentioned data modeling say that it is not as intuitive for non-technical staff, requiring strong IT support.
Training: More than 60% of users who write about learning how to use the platform say that with frequent new releases, a lack of sufficient documentation, coupled with the difficulty of using a programming language make this a tricky tool to master.
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Steep Learning Curve: Pyramid Analytics has a huge learning curve, according to approximately 58% of users who referred to the learning curve.
Data Visualization: 60% of users who mentioned visualization say that dashboards were aesthetically unpleasant.
Functionality: Of users who talked about functionality, around 69% say that the system has stability issues.
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Users appreciate how Sisense creates large datasets from constantly evolving data sources to be seamlessly streamlined into actionable data, and presented easily in the form of graphs, bar and pie charts, scattergrams, line graphs, interactive maps and many more visualization types. Regarding customer support, users praise their prompt and informative responses - from implementation to handling subsequent queries — as high quality customer service that comes neatly packaged with pricing plans. Users mention that the implementation of this solution, though easy for basic setup, can be quite demanding in terms of scripting and configuration setup, especially for advanced analytics. Non-technical users might find it challenging to set up the data objects - ElastiCubes - without strong IT support. On the front-end, dashboard customization and formatting of visualizations can be tricky as these require basic knowledge of CSS, Javascript and development. Though a large number of users find this solution to be cost-effective, smaller businesses and startups that only need a limited number of licenses might find it expensive. Overall, Sisense is a strong BI solution with strong data capabilities, and its drill-down functionality empowers users to glean insightful and actionable analytics that drive business strategy by aiding in decision-making processes. To maximize its potential, businesses may require strong IT support for implementation and formatting of visualizations. It is certainly worth considering for enterprise BI needs, if the price is right!

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Pyramid Analytics is a flexible, scalable BI platform with machine learning capabilities. It lets users mash up data from multiple sources, model data within the application and run reports in mere minutes, as opposed to manual processes that would take hours.Its numerous features have the ability to carry out complex data analysis. Users found customer support to be helpful when demonstrating the tool’s full potential. Users also liked the ability to incorporate AI into their dashboards. However, Some users found navigating through dashboards to be difficult. Users also complained that dashboard features could be more effective. New features were sometimes unstable, introducing bugs to existing functionality. Conclusively, it is a cost-effective, intuitive solution with excellent support that can quickly deliver insights to all levels of a businesses.

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