Compare bi software

These tools now give business users access to custom, plug-and-play visualizations, greatly speeding the time to market. We recommend these business intelligence software options because of their standout features. User-friendly interfaces and flexible customization make the tool an ideal self-service BI for your team to use, and users report excellent customer support and training.

Best suited for enterprise-level businesses, Birst offers a user-friendly experience for both developers and end-users, including a complete API that allows you to integrate other tools and automate simple tasks. Birst also provides both governance and agility in its platform, allowing for centralized, controlled data while also letting you source data from multiple points across your business. Consistently ranked as a top BI solution and backed by reputable venture capital groups Andreessen Horowitz, Intel Capital, and more, GoodData provides BI features best-suited for the insurance, retail, financial services, and ISV industries.

In addition to easy integration, Hubble allows for custom reports in addition to pre-built templates. In addition to easy-to-use reporting, a full API, report sharing, and good customer support, Tableau also allows you to mix data from multiple dat sources, be it Excel, SQL, Oracle, and more.

The tool offers easy and attractive reporting, but unlike many other BI tools, Looker updates dashboards regularly, providing you with the most up-to-date information in real time. The tool continues to deliver today, offering fast and comprehensive reporting tools and best-in-class security features.

The first BI tool to run completely on the cloud, Domo is a quickly growing system that allows you to access insights about your business from anywhere. Domo offers over data connectors, and its own app store allows you to plug in apps specifically tailored to your industry. While it is best known as a business intelligence tool, BOARD also offers performance management, analytics, and data discovery solutions all in one platform. Consistently recognized as one of the best BI solutions around, Microsoft Power BI offers flexible plans for businesses of all sizes and integrates with your Microsoft office tools such as Excel.

In addition to sourcing data from a variety of cloud and on-premise sources, Power BI can also collect data from IoT devices. Largely recognized as an industry leader in business software products, Oracle also offers a business intelligence tool that integrates seamlessly with other products such as Oracle ERP, Netsuite, and more. In addition to data analysis and reports, InsightSquared also allows you to forecast closed business deals, sales success rates of certain salespeople, and more.

Using Logi Analytics , you can embed customizable, white-labeled analytics into all your apps, making it easier for your customers to check in on their businesses. Running reports can take a long time, but Sisense for Cloud Data Teams syncs data to analytics clusters to return results in a manner of seconds. This BI tool is built with data teams in mind and offers a platform built for running easy queries that can be stored in a query library for easy access.

Alteryx provides extensive customization options through coding and a full data analytics platform. For analysts who have big ideas for their data, this platform offers the flexibility needed to bring those ideas to fruition.

Yellowfin offers a user-friendly platform that consistently delivers functionality to clients. BI software is evolving quickly, but these trends are making their way into common usage for most BI tools. Artificial intelligence AI and machine learning ML are computing trends that have touched nearly every corner of the technology industry because of their abilities to spot patterns and learn from existing data.

BI in particular is ripe for the growth of ML products because the tools thrive in high data-density environments. AI and ML algorithms can be used on existing data to learn, predict, and better forecast for businesses.

Cloud computing—and the databases that it produces—give companies thousands of daily data points to train machine learning algorithms. Companies that use BI will find that data integration between AI tools and their cloud data warehouses is often the logical next step. In-memory database processing utilizes RAM instead of disk or hard drive processing in order to read information. Accessing information in this manner increases the application performance exponentially.

The increasing power of RAM in our cloud or on-premise computing environments coupled with the demand for more agile systems means this software has a large stake in the future of BI. Dramatic drops in memory prices are making it a more popular option than running data analysis through multidimensional databases and cubes. Consequently, the design of reporting mechanisms and ease of use of analytics platform functions are being driven toward a lower barrier of access.

No longer is it enough to have excellent analysis features or data warehouse access; they must be usable by both IT experts and business users with no analytical experience. A Dresner Advisory Services report found that the major motivation for BI adoption comes from business executives, operations, and sales divisions. Comparing all the features these tools offer side by side can be a daunting task, but we can help you shave hours off your software search.

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Product Dundas. Product SAS Viya. Product Geckoboard. Product Sisense. Product Oracle BI. Product Tableau. Product Domo. Top business intelligence software vendors, by category Data storage for business intelligence Analyzing big data with BI Business intelligence software for corporate reporting Recommended BI vendors with standout features Trends in business intelligence software Choosing the right business intelligence software.

Find Business Intelligence Software How many people will need access to this software? Select your Industry. Back Next. Select the features or functions you will need below Skip This Step. Data Governance. Data Warehousing. Graphic User Interface. Countless IT projects experience delays and data warehousing and business intelligence projects are by no means immune to this perennial issue.

Implementation time depends largely on which product is being implemented. Clearly, other factors such as the number of data sources, the volume of data and the number of users or departments served also have an influence here. Fast implementation times are key to a successful BI project. Projects taking more than three months to complete lead to significantly lower business benefits. Project implementation times appear to have a direct impact on the level of all business benefits; with benefits decreasing as project length increases.

Aim for a three-month implementation window for the first application. Best-in-class companies prove that it can be done in just two months on average. If possible, try an incremental approach by breaking the project into a series of smaller projects. The standard of service provided by consultants varies considerably.

We found a clear correlation between customer ratings of implementer and vendor support and business benefits achieved. Seeing such a big difference in business benefits between different types of consultants does not come as a surprise.

Good support from an implementation consultant is an important aspect of project success. Finding the right vendor in combination with the right implementer is crucial to project success. Results revealed that small, specialized consulting firms frequently scored better than large general-purpose consulting companies. Many BI and analytics solutions end up as shelfware within enterprises due to difficulties in setting up software, difficulty in using tools, or lack of ability to communicate the benefits of the tools and platforms to end users.

The ability to seamlessly incorporate business intelligence software and platforms into corporate decision-making processes and to closely align those solutions into business results is crucial. Survey results clearly reveal that a carefully conducted comparison and selection of business intelligence tools pays off. Find out how BI software products compare from a user and analyst perspective.

Finding the Right Business Intelligence Tool. Judgments as to the superiority or otherwise of individual products should not be solely based on these charts. Many of the products featured are not directly comparable with each other so care should be taken to ensure meaningful comparisons are made.

We have analyzed over 30, BI software reviews from users. Here are the six most important things we have learned. More on our survey methodology, the survey sample, and how we categorize and score BI and analytics tools. The KPIs. There are 36 KPIs in total. Different readers will have their own views on which of these KPIs are important to them. For example, some people will regard fast query performance as critical, whereas others may consider recommendation or innovation to be more important.

Consequently, we think reducing the KPIs to only one aggregated score is too simplistic to be helpful when seeking out the best business intelligence software to match your needs. In our view, there are at least four crucial KPIs when it comes to comparing BI tools from a user perspective. They are made up from 30 individual root KPIs:. Business Value. Customer Experience. Delivering a superior user experience is more important than ever. Customer Satisfaction. Happy customers are a strong indicator of a superior software.

The KPI rules. Informative Value. Basis of Calculation. Sample Size. Only products with samples of at least depending on the KPI for each of the questions that feeds into the KPI are included. For quantitative data, KPIs are converted to a scale of 1 to 10 worst to best. Comparing BI Software with the help of peer groups.

Not all BI tools are alike. The segmentation of the peer groups is based on two key factors: Usage scenario — functional peer groups — mainly data-driven and based on how customers say they use the product.

Regional focus — is the vendor a large international vendor with a truly global presence or does it focus on a particular region?

We also take into account the location of survey respondents. The peer groups. Ad Hoc Reporting-focused Products. This tool, rated with outstanding 4. The software offers features for both advanced users such as data analysts and average business users.

The SQL mode enables analysts to create their own queries while, on the other hand, the intuitive drag-and-drop interface ensures a visually intuitive way of entering your values and creating powerful charts and dashboards, simply by using effective visual analytics. Intuitive drag-and-drop interface: Simply drag your KPIs into the interface and see how your charts and graphs transform into a professional dashboard without any IT involvement or advanced coding.

Easy-to-use predictive analytics: Advanced analytics features, including predictive analysis based on a forecast engine, where you simply select the KPI, determine the number of data points you want to forecast, specify the previous data points for the calculation, and finally define the model quality by appointing the desired confidence interval.

Many interactive dashboard features: Dig deep into each part of the dashboard with advanced dashboard software features such as drill-downs, chart zooms, widget linking, hierarchical filters, among others, that will ensure a detailed data discovery process.

Multiple reporting options: Take advantage of BI reporting tools and create standard or customized reports by sharing via password-protected live URL, enabling viewer access, or sending an e-mail report which you can automate at specific time intervals.

Additionally, you can embed datapine into your own application and get all the benefits of BI software without spending all the money and resources on one of your own.

Smart insights and alarms based on artificial intelligence: With artificial intelligence, machine learning, and pattern recognition technologies, they alert the user if a business anomaly occurs or generate multiple types of insights, including growth, trends, value drivers, what-if scenarios, among others. They do offer mobile access, but the dashboards are not directly accessible unless you download their app and customize them within the mobile view.

SAS Business Intelligence is a BI tool offering numerous products and technologies for data scientists, text analysts, data engineers, forecasting analysts, econometricians, and optimization modelers, among others.

Founded in the 70s, SAS Business Intelligence enjoys a long tradition in the market, building and expanding its products every year. With a Capterra rating of 4. Text analytics capabilities: Interesting features are text analytics that enables you to gain insights from text data such as social media and location analytics that combines data in a geographical context. Reports and dashboards across devices: Dynamic visuals are organized into interactive reports and dashboards, similar to other tools in our lists, and you can access them also on mobile and tablet devices both Android and iOS.

Considering the complexity of the product and its offers, the higher price range and limited customization options can be huge factors in deciding if this business intelligence tool would be the right choice, as most users indicate on Capterra and G2crowd. Infor Birst is a cloud-based analytics and business intelligence platform that helps users to understand and optimize complex processes. Infor, a global company with an extensive portfolio of software products for specific industries, acquired Birst in Today, Infor Birst is an advanced end-to-end solution with a data warehouse, visualization and reporting platform, and a networked BI approach based on extensive automation and learning technologies.

Customers of the BI vendor rated the software with a solid 4. Modern data architecture: Birst's native cloud BI platform is based on Infor's modern data architecture. The advantages of this are high flexibility, data security as well as scalability to adapt to changing business conditions. Adaptive interface: Cross-device access to the platform that meets the needs of modern work styles, enabling a positive user experience with the same interface, whether online or offline.

Embedded BI: Infor Birst's cloud solution gives you the option to integrate it with your own application. This allows you to monetize data in a familiar software environment without having to develop an analytics product yourself. Industry analytics: Different role and industry-specific data models, as well as analysis options, are offered. With their help, specific trends but also weak signals can be identified in order to react to them at an early stage and increase profitability.

Some customer reviews describe the user interface as confusing in parts. In addition, data integration is more complicated than described, as the business intelligence tool does not create a data model based on the linked data sources in a completely automated way.

SAP BusinessObjects is a business intelligence platform designed for comprehensive reporting, analysis, and data visualization. They provide Office integrations with Excel and PowerPoint where you can create live presentations and hybrid analytics that connects to their on-premises and cloud SAP systems. To be accurate, more than M users leverage SAP across the world, making it one of the largest software suppliers in the world. On Capterra, the company obtained a review of 4.

A BI enterprise reporting system: Reporting and analysis are done with ad hoc queries and a complex BI enterprise reporting system designed to guide your overall company strategy. Self-service, role-based dashboards: Analytics applications and data visualization are focused on self-service capabilities, similar to other tools, where you can build your own role-based dashboards and applications to assess risks, for example. Cross-enterprise sharing: You can create a cross-enterprise sharing functionality that will enable you to communicate your findings with other stakeholders and partners.

Integration with Office: By using Microsoft Excel with SAP, you can analyze larger volumes of data, and embed analytics in PowerPoint, making this solution easily integrated with Office. Some reviews report that extensive analysis functions are rarely usable without additional user training.

In addition, the costs for the individual modules are relatively high and there are comparatively few feature updates. Domo is a business intelligence software comprised of multiple systems that are featured in this platform, starting with connecting the data and finishing with extending data with pre-built and custom apps from the Domo Appstore. You can use Domo also for your data lakes, warehouses, and ETL tools, alongside R or Python scripts to prepare data for predictive modeling.

Similar to other tools, you can connect the data across your enterprise, utilize their machine learning and artificial intelligence capabilities while enabling users to explore the data on their own.

With a firm 4. Automatically suggested visualizations: Data visualization enables you to go from raw data to charts, graphs, maps, and other visualizations which are suggested automatically by Domo after you upload your data source.

You can refine the data, annotate for further commentary or discussions, or refine and control who has access to it. Roboto as an AI engine: Predictive analysis is powered with Mr. Domo Appstore: Their open cloud platform is an ecosystem of pre-built apps, connector APIs and dashboards, giving you also the possibility to build your own and share it on the Domo Appstore.

Domo is not built for newcomers as the learning curve can be steep, but they do offer training, therefore, be prepared to learn. Oracle Business Intelligence is a portfolio of technology and applications with a focus on providing end-to-end solutions to help businesses optimize their performance and empower them to make faster and more informed mobile-enabled decision-making.

Oracle has 4. Ad hoc capabilities Oracle BI answers: This feature provides users with true ad hoc capabilities in an intuitive way. With no room for complex processes and preventing runaway queries, users can easily generate charts and visualize their data fast and efficiently. Like this, users are working with live reports, charts, graphics, pivot tables in pure web architecture. Personalized alarms: Oracle BI delivers a personalized alarming system that provides businesses with activity monitoring and can reach users via dashboards, emails, or even mobile devices.

Alerts can initiate and pass contextual information to other alerts or users for a collaborative workflow. Oracle BI Publisher: This feature offers the capacity to generate scalable reporting to deliver complex information to stakeholders securely and in the correct format.

Real-time decision server: Combining rules with predictive analytics, this feature enables real-time intelligence to be implemented in any business process.

The tool provides recommendations and reveals insights in real-time. According to Capterra and G2Crowd reviewers, the Oracle BI runs slow on some occasions, especially when generating reports. For some functions, such as adding information to data models, complicated and time-consuming processes are reported. We continue our BI tools list with Zoho Analytics.

Although the company offers many products ranging from CRM, bundles, and apps, here we focus on their BI and analytics solutions as the most relevant for our topic. With more than integrations for your business apps, more than 10 customers worldwide, and a strong 4. Blending and visualizing data: Similar to other tools on our list, their most prominent features focus on blending data from multiple sources, and visualizing them through reports and dashboards via their drag-and-drop designer.

But not only, as you can also feed data from their online storage service Zoho Docs. Zia is based on natural language processing and machine learning technologies to help the user search for data faster. Commenting section in sharing options: If you opt for a shared view of your reports, you can enable commenting in real-time of elements such as charts, pivot views, tabular views, tables, or dashboards.

The people that you collaborate with will be immediately notified and you can develop a complete thread as well as attach files, crop your screen, or use different formatting options.