Best OLAP Tools
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PRODUCTS
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BUYER'S GUIDE
Buyer's Guide
By Ritinder Kaur, Market Analyst at SelectHub
OLAP is a computing approach to multidimensional data analysis. OLAP tools are in demand as companies seek to delve deeper into multidimensional metrics without compromising performance. Many are analytics and BI tools with OLAP engines embedded into them.
Whether you plan to buy a new software solution or add an OLAP engine to your existing one, this buyer’s guide will take you through the steps necessary to choose one that fits. It informs you how to evaluate and compare OLAP systems based on their features and functionality. Additionally, we give you handy tips and resources to aid your software search.
Executive Summary
- OLAP tools enable drilling into multidimensional business metrics to reveal performance insight, including previously unknown patterns.
- OLAP cubes improve query performance by reducing computing overheads on warehouses through in-memory processing.
- MOLAP and ROLAP are the most common OLAP servers in use.
- Read about the most popular OLAP tools in the market to know which features to add to your requirements checklist.
- Spell out your business needs clearly by preparing questions before approaching vendors.
What Are OLAP Tools?
OLAP platforms are software solutions for the interactive analysis of multidimensional information stored in databases and data warehouses. OLAP supports faster ad hoc queries and complex analytical calculations for business intelligence, reporting, predictive analytics and decision support.
While OLAP focuses on analysis, online transaction processing (OLTP) involves executing transactions concurrently in real time, like online banking, order processing, payment workflows and sending messages.
OLTP use cases include eCommerce software, credit card payment processing, record-keeping tools, ATMs and online booking and reservation systems. OLAP enables business reporting for sales, marketing, employee performance management (EPM), budgeting and forecasting, including financial reporting.
Traditional querying methods fall short in the case of multidimensional metrics, as increasing volumes can slow down performance. Additionally, reorganizing the results to highlight different dimensions is resource-draining.
OLAP databases use a multidimensional model for storing information and support complex ad hoc and analytics queries with a fast runtime. OLAP systems are mostly read-only to keep computing time to a minimum.
The OLAP cube is at the center of an OLAP system and abstracts multidimensional data analysis from warehouses and databases through in-memory computing.
Cubes, Dimensions, Measures
An OLAP cube is to OLAP what a schema is to relational data. It’s a multidimensional format created by reorganizing information from multiple relational data sets.
The actual values or facts you analyze, like product quantity and sales figures, are called measures. Dimensions are the various views for a measure in an OLAP cube, for instance, employee, date, customer, product and area fields for the same sales numbers.
Metadata is an essential component of the OLAP cube and contains key information about measure groups and their relationship to dimensions with their storage details. It includes another business-critical element — Multidimensional Expressions (MDX) scripts to add code for data processing. Additionally, you can define user actions to open and view reports and drill into the metrics for a closer look.
OLAP helps you analyze your data through consolidation, drill-down and pivoting.
OLAP Operations
These tools perform four basic operations:
- Drill-down involves moving down the dimension hierarchy in the OLAP cube. For instance, you could expand the sales figures for a region to view the numbers for individual products.
- Consolidation (Roll-up) is the reverse of drill-down and involves gaining a high-level overview by moving up the hierarchy or reducing the number of dimensions. To view the overall projections, you can aggregate individual store data and show it against the consolidated sales dimension.
- Slicing involves isolating a single dimension from the central OLAP cube. Viewing the revenue numbers for the last six months is an example of slicing the year (time dimension).
- Dicing involves drilling down into more than one dimension simultaneously. You can dice years (time dimension) into months and countries (location dimension) into cities simultaneously, creating smaller cubes from the central OLAP cube.
- The pivot feature is similar to the pivot table feature in MS Excel. Fast OLAP querying enables rotating the cube view for disparate data views.
MOLAP, ROLAP and HOLAP
These are terminologies associated with data warehouses representing logical data models.
- Multidimensional OLAP or MOLAP is the concept of directly processing data in OLAP cubes.
- Relational OLAP or ROLAP involves analyzing multidimensional data from relational tables in warehouses. But, performance issues due to complex queries can slow down processing. Additionally, data views in ROLAP are static, making pivoting impossible.
- The hybrid OLAP (HOLAP) approach provides the benefits of ROLAP and MOLAP — access to larger information volumes and fast processing. But, performance issues can slow down your analytics pipeline due to its complex architecture.
Primary Benefits
OLAP answers questions standard tables can’t solve, driving rapid analysis and proactive action to help complete projects on time.
Reduce Time to Market
OLAP systems speed up product development and delivery cycles, helping establish your brand’s market reputation as a serious player. OLAP engines save time by pre-aggregating variables and conducting lightning-speed business calculations. Near real-time insight gives relevant results, giving you a chance to take timely action.
Sharable data cubes save time by promoting collaboration. Additionally, they boost warehouse performance by eliminating the burden of repeated queries.
Gain Data Insight
God is indeed in the details, and so is valuable business insight. Roll-up, slice-and-dice and pivot actions help zoom in and out of granular views in OLAP cubes, revealing correlations you didn’t know existed.
Uncovering data relationships can reveal previously unknown market trends, gaps and opportunities.
For instance, you can slice the location dimension into states, regions and cities for detailed views of performance metrics. Drilling down helps highlight gaps not apparent otherwise and successes you didn’t notice in the high-level view.
Build Comprehensive Reports
Many OLAP tools provide interactive visualizations for ad hoc analysis and reporting. With quick data access, manipulating datasets directly within the data cubes speeds up the analytics process. Despite being fast, OLAP servers perform accurate calculations, ensuring the correct information feeds your reports.
You can build predictive models by moving the datasets around for what-if analysis. Configuring individual permissions at the report level ensures your users see only the pertinent metrics.
Democratize Data
Modern OLAP tools have an intuitive interface with easy user actions to perform analysis without technical assistance. You can analyze data independently by connecting to the desired sources and interacting with the datasets to show the necessary metrics.
Select-and-click and drag-and-drop actions help you perform complex calculations across multiple dimensions — all the SQL querying happens at the backend. You can calculate the revenue earned from stores in Florida as a percentage of the total revenue for the current year and view its progression in a time-series analysis.
OLAP cubes are scalable, limiting data consumption by incorporating only the required datasets.
Key Features & Functionality
Ease of use, accessibility and support for complex calculations and standard dimensions are business-critical features in an OLAP software solution.
Transparency | The OLAP tool should provide complete transparency into your homogeneous and heterogeneous information sources. Full visibility into the OLAP computing architecture and the underlying databases is essential for monitoring and troubleshooting. |
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Accessibility | OLAP servers seamlessly connect to client systems and source databases. An OLAP tool presents a single source of truth by mapping its logical schema to available data stores, aggregating the information and performing the necessary transformations. Consistent performance is business-critical, irrespective of the increase in the number of dimensions or the database size. |
Intuitive Data Manipulation | OLAP operations — drill-down, pivot and slice-and-dice — enable a deep-dive analysis of multidimensional information. Intuitive user actions like select-and-click and drag-and-drop are essential to ensure quick turnaround and proactive decision-making. |
Complex Calculations | Calculations help you extend the cube’s capabilities, flexibility and robustness in business intelligence applications. A calculation is an MDX expression or script used to define a value at run time in a cube. Calculations let you add objects the cube data doesn’t define, and they can reference other parts of the cube, other cubes or values outside the underlying database. The OLAP system should provide powerful calculation methods for sales forecasting, such as moving averages and percentage growth. |
Location and Time Intelligence | Location and time are standard dimensions for OLAP analysis. Period-over-period comparisons enable reviewing past performance and planning business strategy using what-if scenarios. |
Software Comparison Strategy
Our lean selection methodology breaks down the process for you, whether you plan to buy a new software solution or add an OLAP module to your existing one.
Create a requirements checklist to assess your internal organizational needs. We can help you hit the ground running with our pre-populated, customizable requirements template.
Finalize and freeze your key requirements in consultation with top management and other stakeholders, including teams that will use the software. Convert the requirements into questions and distribute them to potential vendors with a request for proposal (RFP).
Review vendor proposals and rank the products on a scale of 1 to 100, depending on how well they address your business needs. Refer to our Jumpstart platform for access to comparative analysis and scores of leading OLAP tools based on our analyst research.
Cost & Pricing Considerations
Budget constraints can weigh you down when seeking new software solutions or upgrades. It’s best to check the pricing tiers from the vendor’s website or contact them directly. Refer to our pricing guide to learn how much an OLAP solution will likely cost you.
Pricing will vary across products, depending on the deployment option, user licenses and additional modules you choose. Often, the product package includes basic support, though you must opt for a paid plan for personalized assistance. Attention to these details can help you put a number to the total cost of ownership (TCO).
The Most Popular OLAP Tools
We conducted an in-depth analysis of the leading OLAP tools based on how well they deliver enterprise requirements. Here are the three most popular products.
Power BI
Microsoft supports MDX and Data Analysis Expressions (DAX) with live connections to Microsoft SQL Server Analysis Services (SSAS) models. Most Power BI visuals benefit from improved query performance using SuperDAX —- enhancements for consolidating multiple operations within a standard DAX query. Microsoft’s latest innovation is Horizontal Fusion, combining smaller queries into a larger one to reduce processing demands.
Horizontal Fusion in Power BI improves query speed and scalability.
Oracle Analytics Cloud (OAC)
Oracle OLAP is an analytic engine embedded in Oracle Database 12c, enabling centralized management of business information and rules in a scalable, secure platform. It’s a robust enterprise solution, allowing you to create custom functions by combining hundreds of analytics functions. Lightning-speed SQL queries let you deploy OLAP cubes as materialized views.
Defining a materialized view in OAC.
MicroStrategy
MicroStrategy’s versions 9.0 and later support Intelligent Cubes, which the system generates automatically on running new reports against the data warehouse. The platform’s logic automatically matches user requests with a suitable intelligent cube without manual intervention.
MicroStrategy incorporates third-party data mining and modeling tools for predictive analysis.
Multidimensional data analysis and reporting in MicroStrategy.
Questions To Ask
Pose questions to team members and senior stakeholders to understand your teams’ expectations. You can fine tune your requirements list by matching product features to your business needs.
- What’s not working with the present system? Do your company’s needs extend beyond multidimensional data analysis?
- Will add-on OLAP modules work, or will you need a standalone solution?
- What’s your budget?
- Is predictive modeling a deal-breaker?
- Which analytics functions will you need for complex calculations?
Meeting up with vendors is an excellent way to narrow down your shortlist. Preparing questions beforehand saves time and helps you clarify your requirements and expectations during vendor discussions.
- Are the OLAP techniques easy to use?
- Are self-service visualization and dashboard reporting available?
- Does the vendor provide training?
- How often do they release updates and patch fixes?
- What is the average support response time?
In Conclusion
Software selection demands due diligence and extensive research and can be time-consuming. It’s natural to feel frustrated at the slow pace as you sift through seemingly overwhelming information about the various OLAP tools in the market. But it’s worth it.
Staying tuned to your business needs while defining requirements, matching product features and holding vendor discussions can help you make the right choice.
Once you shortlist eligible vendors, contact the top one for final discussions, else move down the list. If all goes well, finalize the purchase and set up a deployment plan with clear timelines on when to go live.
Reach out to our Managed Services team to assist you through the process.
Product Comparisons
Products found for OLAP Tools
Tableau
Tableau is a data visualization and analytics solution that assists enterprises in making data-driven business decisions. It blends information from a wide range of sources to deliver actionable, real-time insights. It allows exploration of data via intuitive means such as drag-and-drop filtering and natural language queries, irrespective of skill levels. With ample customization and security options, it offers control over data visualization, enabling creation of dashboards and stories that effectively convey business narratives. It can be purchased as part of the Tableau Creator package, which includes the desktop version, Prep and a Creator license of the server or online version.
Power BI
Microsoft Power BI is an analytics tool that assists in reporting, data mining and data visualization to provide business insights. Through Power BI's simple interface, businesses can connect to a variety of data sources and create their own dashboards and reports. Originally born from Excel as an add-on, Power BI has since grown to stand on its own. At a relatively low cost, Power BI fulfills the needs of organizations ranging from small business owners to enterprise operators. There are three versions: Desktop, which is available for free for individual use, an upgraded Pro plan offered on a monthly price-per-user SaaS subscription and a capacity-based Premium plan which provides enterprise-level insights with on-premise deployment and a dedicated cloud infrastructure.
Board
Board is a robust solution that offers analytical insights, business analytics and enterprise performance management all under the same hood. It helps key players of a company improve the effectiveness of their decision making. Its customizable and interactive dashboards give enterprises the ability to see a high-level overview of their business, as well as drill down into their KPIs to assess business performance goals. It serves mid- to large-sized companies across various industries, and its programming-free toolkit helps businesses analyze and plan with a tailored, efficient approach, irrespective of technical skill levels.
Looker
Looker is a web-based analytics solution that offers businesses the ability to explore, discover, visualize and share data insights. Enterprises can view data sources and drill down into data to better understand their business and metrics. Using a simple proprietary modeling language, this system helps define data relationships while bypassing SQL. It facilitates data literacy and accessibility, irrespective of technical skill levels. It was acquired by Google on June 6, 2019, for $2.9 billion.
Qlik Sense
Qlik Sense is a self-service data analytics software that enhances human intuition with the power of artificial intelligence to enable better data-driven business decisions. It allows organizations to explore their data and create intuitive and compelling visualizations from data insights with drag-and-drop simplicity. As the next-generation advancement of QlikView, released in 2014, it expands analytical possibilities to support the entire insights life cycle and helps businesses modernize their approach to intelligence. It has two editions: Business and Enterprise, offered on a per account annual subscription. Enterprises can choose between a hosted SaaS public cloud or multi-cloud, on-premise or private cloud deployment. Qlik Sense Business comes with a free 30-day trial. Its desktop version is available for free for personal use.
Spark
Apache Spark is an open source unified analytics software for distributed, rapid processing. It distributes data across clusters in real time to produce market-leading speeds. It is rising in popularity in the space, catching up to its sister-offering, Hadoop, because of its quicker speeds and specific focus on optimizing processing performance and ability to stream data. It supports several coding languages, including Python, R, Scala, SQL and Java. It can function stand-alone, or be integrated into broader workflows easily.
Black Knight
Black Knight offers an extensive suite of cloud-based solutions for businesses to improve decision-making through actionable data insights. It provides a unified end-to-end framework that combines its big data assets with data collection, visualization and analytics. Armed with multilingual support, machine learning techniques and an intuitive interface, it helps enterprises generate leads, adhere to compliance guidelines and increase process efficiencies.Though aimed at the mortgage and mortgage-related industry, it also offers data analytics to suit the needs of a range of other industries. Some of its industry-specific inclusions include hedge, enterprise, market and competitive analytics. Customers can opt for the origination, servicing or home equity collections, each focused on addressing specific challenges or utilize all three collections for expanded visibility.
QlikView
QlikView is a data discovery and customer insight platform from Qlik, a leader in the insight and intelligence space. However, it is not available for purchase any longer. Qlik Sense, Qlik’s next-generation offering, is available for new customers. It offers self-service data that can help drive decisions and generate significant ROI for technical skill level users. It’s built from the ground up to be affordable, scalable and adaptable. It can ingest data from diverse sources like big data streams, file-based data, and on-premise or cloud data. It is well-known for its data associations and relationship functionality, keeping data in context automatically. It delivers results quickly via its patented in-memory data processing module, processing data down to as little as 10% of its original size.
Spotfire
TIBCO Spotfire is a complete business intelligence and data discovery platform that can perform various functions, including in-depth analysis and robust visual reporting, all powered by artificial intelligence. It offers data streaming technology, which can support insights with AI, big data integration, integration with the Internet of things (IoT) and more.
Oracle Analytics Cloud
Oracle Analytics Cloud is an AI-powered solution that provides robust reporting and analytics features to businesses of all sizes. It offers a strong selection of reporting and analytics features from the convenience of the cloud. It prepares and analyzes data for trends, then turns that data into an intuitive visualization for users to explore and share. This helps users get a deeper understanding of a range of business questions as well as make accurate predictions and forecasts.
Sisense
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.
Cognos Analytics
IBM Cognos Analytics is a self-service, web-based analytics platform which empowers users of all skill levels to explore data through reporting, data analytics, KPI monitoring, events and metrics. Reports give users the ability to not just visualize their insights, but also share them with colleagues. It integrates with Watson Analytics, which leverages IBM’s artificial intelligence and natural language processing to make insights more accessible to non-technical users. It has various components which give additional functionality, flexibility and agility when processing large sets of data.
Mathematica
Wolfram Mathematica is a technical computing platform that can perform a wide range of computations and algorithms for mathematics and beyond. Primarily designed for research and academia, it enables users to create powerful scripts through a flexible, multi-purpose programming language. It allows users to analyze and visualize data in sophisticated ways and employ methods such as machine learning, data mining and deep learning to model and solve complicated problems. It is available in the cloud through any web browser or installable on-premises on all desktop environments. Users can purchase licenses as individuals or under group or enterprise pricing for cloud, desktop or both versions.
BusinessObjects
BusinessObjects from SAP offers a variety of packages to fit businesses of all industries and sizes. It aims to reduce the cost of IT upkeep and increase responsiveness to business problems. It streamlines workloads and lets users share insights to make better business decisions.
MicroStrategy
MicroStrategy is a data analytics platform that delivers actionable intelligence to organizations of all sizes. It allows users to customize data visualizations and build personalized real-time dashboards. It leverages data connectivity, machine learning and mobile access to offer users comprehensive control over their insights. Due to its ease of use and scalability, it stands out as a leader in the enterprise analytics field. Users can choose between cloud, on-premise or hybrid deployment according to their needs.
Sisense For Cloud Data Teams
Formerly known as Periscope Data, Sisense for Cloud Data Teams is a data analytics software tool that integrates seamlessly with the Sisense platform, offering advanced analytics that delivers actionable insights to teams that work with data in the cloud. It provides a single, cohesive interface for users to store, organize, analyze and visualize all their data for better decision-making. It empowers users of all kinds to produce, consume and share insights intuitively together, with or without coding knowledge. Originally founded in 2012 in San Francisco, California, it was acquired by Sisense in May 2019 and rebranded in January 2020.
ThoughtSpot
ThoughtSpot offers analytics and insight capabilities to industries seeking a deeper understanding of their proprietary data in order to make data-driven business decisions. It focuses on giving nontechnical users access to processing and analytics, bringing the ease of a search function to enterprise-scale data analysis. It offers a powerful search engine integrated with in-memory computing for a consumer-class UI.
Pentaho
Pentaho Business Analytics helps users gain insights to drive decisions and manage their data. Notable features include data visualization, dashboards, data modeling, reporting, role-based security, mobile access and a host of analytics capabilities. It serves customers of any size in all industries and can be delivered in the cloud or as an embedded implementation. It’s built on open-source principles to leverage existing data against future data and has enough to offer users of any skill level.
Klipfolio
Klipfolio is an analytics software tool that helps users wield data intelligently and confidently by building dashboards and reports that track KPIs and monitor trends. Users can glean insights from information across the organization collected in one convenient place and deploy interactive data visualizations that they can share with ease. It is available through an annual or monthly subscription to one of four plans: Publish, Grow, Team and Team+. The number of dashboards and users allowed, as well as the data refresh rate and level of support varies depending on the pricing plan selected.
RStudio
RStudio is an integrated development environment suite for the R programming language, synthesizing coding tools into one software tool for easier advanced data processing. Using in-memory processing, it is capable of parsing big data through integrations and connections. It is available in both open-source and commercial formats, with extra features available in the paid edition includes more sophisticated collaboration and security efforts. The free version is capable of end-to-end analytics, from API connectivity and data ingestion to visualization creation and distribution. It can be deployed standalone or on a web browser through connection to RStudio Server.
Dundas BI
Dundas BI is a browser-based analytics platform built to embed from the ground up. The vendor provides single and multi-tenant deployments with access to shared, reusable content. HTML5 enables customizable visualizations and user-friendly dashboards to build reports with interactivity options to drill down into data on demand. It allows secure write-backs to the database, capturing input through custom forms, stored procedures and REST APIs. It gives businesses complete control over the data stored on their IT infrastructure. The vendor offers a 25-day free trial.
Infor Birst
Infor Birst is a cloud-based analytics software tool that aims to help users discover insights without the need for analyst input. It unifies IT-managed enterprise data with user-owned data, supporting the blending of both in a top-down and bottom-up manner. It uses consistent business metrics to structure raw data into organized sets and visualizations. It helps users identify patterns and better understand their organization’s KPIs. It offers a seamless, integrated UI that allows users to perform every step of the data analysis process in a single interface, enabling a smooth experience. It can be deployed either from the cloud or self-hosted on-premise. Users can purchase it in three available formats: per-user fee, by department or business unit or by end-customer in embedded scenarios.
Zoho Analytics
Zoho Analytics (formerly Zoho Reports) allows users to create visualizations and dashboards to present their data via a quick, easy, self-service model. It brings insight and analysis to an organization’s business data on-demand without needing IT assistance or data analysts through extensive automation efforts in several dimensions of the analytical process. Users can crunch huge datasets, clean and blend data, perform various analytical tasks and visualize the results in dynamic graphics to uncover insights. They can make data-informed business decisions in a stand-alone or embedded environment with support for mobile devices. It has flexible on-premise or cloud deployment models.
GoodData
GoodData is a powerful, embeddable, customizable SaaS solution that combines, analyzes and visualizes the internal and external data of an organization to help businesses change the way they make decisions, with a focus on data-driven best practices. It lets users process data, analyze trends and create visualizations that present information in an easily-digestible format. Users can interpret these visualizations to draw insights and make intelligent business decisions.
Domo
Domo is a cloud-based business management suite that accelerates digital transformation for businesses of all sizes. It performs both micro and macro-level analysis to provide teams with in-depth insight into their business metrics as well as solve problems smarter and faster. It presents these analyses in interactive visualizations to make patterns obvious to users, facilitating the discovery of actionable insights. Through shared key performance indicators, users can overcome team silos and work together across departments.
ibi
Ibi by Information Builders offers cloud-based data and analytics platforms that empower users to turn their information into insights through robust visualization, reporting and data management. WebFOCUS is its primary offering. Flexible, configurable and scalable, it integrates data from many sources, simplifies data workflows and enables fast, easy organization and analysis of data. It allows users to make more confident data-driven decisions that drive business results.As of 2020, the vendor has announced that it will be acquired by TIBCO.
Jaspersoft
Jaspersoft is a reporting and data analytics suite built around the JasperReports engine that helps businesses create seamlessly embeddable, pixel-perfect reports, dashboards and visualizations. It empowers businesses with the self-service capabilities to find answers to data questions through beautifully rendered visuals that are easy to understand and explain. Bridging the gap between insight and action, it promotes ownership of the decision-making process across organizations. It includes JasperReports Library, JasperReports Server and JasperReports Studio. The vendor also offers a cloud and microservice-embeddable reporting engine, JasperReports IO.
SAS Visual Analytics
SAS Visual Analytics offers fast answers to complex questions drawn from datasets of all sizes. It provides guided exploration, interactive dashboards, smart visualizations and self-service analytics to users of all technical skill levels, promoting data literacy and visibility. Its versatile, scalable design helps users make better business decisions based on data transparency. Built on a cohesive in-memory architecture, it promotes intelligent action driven by insight.
Pyramid Analytics
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.
JReport
JReport by Logi Analytics (now discontinued) empowered companies to perform data analysis and generate reports directly from other business applications. It was scalable, customizable, fault-tolerant and worked seamlessly within other web interfaces. It integrated with any architecture and supported a range of embedding methods from the front and back ends.
Izenda
Izenda (replaced by Logi Symphony) is a business intelligence product that allows users to embed reporting and analytics capabilities into other applications. It monetizes data, promotes data literacy, offers insights and sets users up to make data-driven business decisions.From ad-hoc reports to ongoing insights, this software tool offers users a flexible range of data analysis features and visualization capabilities. It was designed for both developers and end users with a modern technology stack, flexible architecture and intuitive drag-and-drop interface.
Exago
Exago (replaced by Logi Symphony) is embeddable, flexible and scalable. It is designed for multi-tenant SaaS use and requires no additional desktop downloads or plug-ins. It offers an open API and customizable UI, giving users control and flexibility. It includes express reports, pixel-perfect reports, report formatting templates, crosstab reports, drill-down, a dashboard designer, maps, data blending and OLAP.
WebFOCUS
WebFOCUS is a data analytics solution from Information Builders that helps businesses transform their data into actionable insights. Its intuitive interface makes self-service intelligence accessible to users of all skill levels. Its capabilities include dashboards, scorecards, mobile access, guided ad hoc reporting, data integrations, dynamic report distribution and much more. As of 2020, the vendor has announced that it will be acquired by TIBCO.
ClearStory Data
ClearStory Data was acquired by Alteryx in 2019. Data access and analysis were once relegated to specialists, quants or statisticians. Today, competitiveness on the front lines of business is dictated by the speed of data access and the quality of informed decision-making. ClearStory Data’s end-to-end solution includes an integrated Spark-based data processing platform and an incredibly simple user application for business consumption of insights.
Datorama
Datorama helps businesses handle their processing and analysis needs for data sets of any size and complexity. It is scalable and cloud-based for growth, access and convenience. Powered by Salesforce, it’s built to provide enterprise-grade intelligence and insights.
BIRT
It’s an open-source project on Eclipse and is an acronym for Business Intelligence and Reporting Tools. It lets organizations extract and transform data for business analysis. Its Report Designer enables visual report-building within interactive dashboards. The runtime component executes the reports once ready. Embedded into a range of business interfaces, it enables custom design layout, data access and scripting to present report output over the web. It supports charts, crosstabs, using multiple data sources within the same report, re-using queries within reports and addition of custom code.
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