Finding software can be overwhelming. We've helped thousands of businesses choose the right data discovery software so they can integrate data and explore trends across dimensions.

Showing 1-20 of 114 products

Dundas BI

Dundas BI, from Dundas Data Visualization, is a browser-based business intelligence and data visualization platform that includes integrated dashboards, reporting tools, and data analytics. It provides end users the ability to create... Read more

Price:

Recent recommendations: 21 recommendations

Platforms: MacWinLinux
Deployments: On premise
Business Size:
Learn More

Birst

Birst, an Infor Company, is a web-based networked BI and analytics solution that connects insights from various teams and helps in making informed decisions. The tool enables decentralized users to augment the enterprise data model... Read more

Price:

Recent recommendations: 15 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

BOARD

Created to combine business intelligence, corporate performance management, and business analytics, BOARD is a full-featured business intelligence system that serves midsize and enterprise-level companies in a variety of different... Read more

Price:

Recent recommendations: 13 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Domo

Domo is a cloud-based business management suite that integrates with multiple data sources, including spreadsheets, databases, social media and any existing cloud-based or on-premise software solution. It is suitable for company sizes... Read more

Price:

Recent recommendations: 12 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Sisense

Sisense is an agile business intelligence (BI) solution that provides advanced tools to manage and support business data with analytics, visuals and reporting. The solution allows businesses to analyze big and disparate datasets and... Read more

Price:

Recent recommendations: 11 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Looker

Looker is a cloud-based business intelligence (BI) platform designed to explore and analyze data. The solution helps businesses to capture and analyze data from multiple sources and make data-driven decisions. Looker provides business... Read more

Price:

Recent recommendations: 9 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Style Intelligence

InetSoft Style Intelligence is a business intelligence software platform that allows users to create dashboards, visual analyses and reports via a data mashup engine—a tool that integrates data in real time from multiple sources.... Read more

Price:

Recent recommendations: 7 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

TIBCO Spotfire

TIBCO Spotfire provides executive dashboards, data analytics, data visualization and KPI push to mobile devices. It complements existing business intelligence and reporting tools, while midsize organizations can use dashboards and... Read more

Price:

Recent recommendations: 4 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Yellowfin

Yellowfin, a business intelligence platform, is a single integrated solution developed for companies across varying industries and scaling sizes. This system is customizable to suit businesses in accounting, advertising, agriculture,... Read more

Price:

Recent recommendations: 4 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

TrenData

TrenData People Analytics is a cloud-based business intelligence (BI) solution designed for midsize businesses across various industries. The solution offers various HR analytics and workforce management features such as compensation... Read more

Price:

Recent recommendations: 3 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Halo

Halo is an end-to-end supply chain management and business intelligence platform that helps in business planning and forecasting inventory for supply chain management. The system uses data from all sources - big, small, and in-between... Read more

Price:

Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Exago

Exago BI is a web-based solution that’s designed to be embedded in web-based applications. Embedding Exago BI allows SaaS companies of all sizes to provide their customers with self-service ad hoc, operational reporting, and interactive... Read more

Price:

Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Corporater

Corporater is a cloud-based OSHA- and ISO-compliant business intelligence (BI) solution that provides midsize and large organizations across various industries with applications to plan for and execute their business outcomes. Features... Read more

Price:

Recent recommendations: 2 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Centerprise Data Integrator

Centerprise Data Integrator is an on-premise data integration solution that includes integration, transformation, quality and profiling. It enables users to choose from multiple integration scenarios and control individual users' view... Read more

Price:

Recent recommendations: 1 recommendations

Platforms: Win
Deployments: On premise
Business Size:
Learn More

TARGIT Decision Suite

TARGIT Decision Suite is a business intelligence and analytics solution that offers visual data discovery tools, self-service business analytics, reporting and dashboards in a single, integrated solution. TARGIT combines the control... Read more

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Ambition

Ambition is a cloud-based business intelligence (BI) solution that provides tools and functionalities that help businesses drive employee performance and manage sales operations. Key features include data transformation, private cloud... Read more

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Rapid Insight

Rapid Insight is an on-premise Business Intelligence solutions for higher education institutions and fundraising, healthcare and data science corporations. The suite of applications includes dashboards and scorecards, data mining and... Read more

Price:

Platforms: Win
Deployments: On premise
Business Size:
Learn More

Intellicus

Intellicus is a Business Intelligence and Analytics platform. It offers an end-to-end BI solution, covering the complete spectrum of business intelligence – from Data Extraction and Data Processing to Delivery of Insights. Key features... Read more

Price:

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

icCube Data Analysis & Reporting

icCube Data Analysis & Reporting is a cloud-based business intelligence platform that offers real-time data analysis and visualizations through configurable dashboards, charts and widgets. The solution is accessible on tablets, smartphones... Read more

Price:

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Nexla

Nexla is a hybrid business intelligence (BI) solution that helps analysts, business users and data engineers across various sectors to integrate, automate and monitor their incoming and outgoing data flows. Features include high volume... Read more

Price:

Recent recommendations: 1 recommendations

Platforms: MacWinLinux
Deployments: Cloud, On premise
Business Size:
Learn More

Buyer's guide


Last Updated: April 17, 2019

Data discovery is one of the fastest-growing and rapidly changing segments of the BI market. These tools differ dramatically from the traditional systems of record that enable IT to push reports and dashboards out to the rest of the organization.

In many cases, data discovery tools are purchased by organizations that have already deployed traditional BI systems, in order to solve issues with data access, data preparation and data exploration. Data discovery solutions have also been a godsend for small businesses that can’t afford complex data warehouses and lack the expertise to build them.

The market for data discovery software is complex and highly fragmented. There are a number of different “flavors” of data discovery, and a variety of use cases in which one flavor works better than another.

In this Buyer’s Guide, we’ll explain how data discovery software differs from traditional BI and describe the categories into which these tools break down.

Here’s what we’ll cover:

How Do Data Discovery Tools Differ From Traditional BI Systems?
Capabilities of Data Discovery Software
Types of Data Discovery Tools

How Do Data Discovery Tools Differ From Traditional BI Systems?

An easy way to understand this difference is to look at the history of BI solutions.

Traditional BI systems were an attempt to solve the difficulty of writing SQL queries in order to retrieve data such as sales information, customer information, shipping records etc. stored in multiple relational databases. Before BI, users had to be highly familiar with SQL to get the data they needed out of such databases.

Thus, traditional BI systems mapped a layer of familiar business terms (known as a semantic layer) onto the relational databases’ storage schemas, thereby allowing users to retrieve and combine data without knowing SQL at all.

Traditional BI Semantic Layer

Traditional BI Semantic Layer

 

The semantic layer is a way of expressing a data model, or a schematic representation of the relationships between data in one or multiple datasets. In particular, the semantic layer schematizes the relationships between data residing in different data sources/databases. For instance, the dimension “customer” in the semantic layer may be defined as grouping together information from both the “sales orders” database as well as the “customer records” database.

BusinessObjects—later acquired by SAP—was the first BI vendor to use the semantic layer model, and remains one of the most popular semantic layer-based solutions. The semantic layer model is still suitable for large enterprises that need unified access to data stored in numerous operational databases.

The problem with this model is that the semantic layer needs to be standardized across the organization. In other words, various business units must agree on which databases and tables in these databases the dimension “customer” will pull from. Moreover, once the semantic layer has been standardized, it remains under IT control.

As you can see in the above diagram, traditional tools for ad hoc queries pass analysts’ queries through the semantic layer, which automatically translates them into SQL queries to retrieve data from SQL databases and other data sources that support SQL querying. Thus, traditional querying tools can only work with data sources that have already been integrated into the semantic layer.

Data sources outside the semantic layer (a spreadsheet sent in an email, a public data source on the web, 500,000 Tweets about a product recall etc.) can’t be easily integrated with the semantic layer unless IT develops new processes. And, of course, IT can’t develop a process for every new data source.

When the semantic layer is standardized across the organization, the paths that analysts follow to retrieve and combine data get frozen into place. For instance, if the organization defines “store” as a subcategory of “branch,” and “branch” as a subcategory of “sales region,” while neglecting to slot “customer” somewhere into this hierarchy, blended analysis of sales and customer data can become overly complex.

Business terms mapped to operational data in SAP BusinessObjects

Business terms mapped to operational data in SAP BusinessObjects

Data discovery tools remedy this situation by providing direct access to the operational databases shown in our chart, instead of going through a semantic layer. This allows users to combine spreadsheets and other data sources outside the semantic layer with operational data.

Any data preparation work that needs to be done to combine data sources (e.g., converting “customer_ID” to “customer”) is done on the fly, instead of forcing IT to standardize terminology across the organization.

Additionally, users can develop their own data models during analysis, instead of being bound to the data model encoded in the semantic layer. This allows greater flexibility for sophisticated queries that depend on blending data from multiple sources.

Capabilities of Data Discovery Software