Best Data Discovery Tools

Best data discovery tools software includes Logikcull, Dundas BI, board Business intelligence, datapine, and IBM Cognos Analytics. This software helps businesses solve data access, data preparation, and data exploration issues.

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List of 20 Best Data Discovery Tools

Showing 1 - 20 of 27 products
#1

ManageEngine Endpoint DLP is a fully featured Data Loss Prevention Software designed to serve SMEs, Startup, Agencies, Enterprises. ManageEngine Endpoint DLP provides end-to-end solutions designed for Web App. This Data Loss Prevention System offers Dashboard, Device management, Endpoint Management, Compliance Reporting, Application Security at one place. Read ManageEngine Endpoint DLP Plus Reviews

Starting Price: Available on Request

Mobile App
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Contenders | 2023

#2

Logikcull is a user-friendly and secure eDiscovery software. It is a cloud-based solution for enterprises, law firms, and governments providing them with complete control of the legal discovery process. It can be accessed on mobile, tablets and other mobile devices. It helps to find the documents with at a rapid speed and provides full security to the data. Read Logikcull Reviews

Starting Price: Starting Price: $40 Per Month

Mobile App

Recent Review

"Comes with meta-based download system." - Keisha M. Brown

Most Reviewed

Category Champions | 2023

#3

AppsTec is a flexible content management, which makes managing your documents easier. Right from capturing data to indexing and retrieving documents, it offers end-to-end document management solutions. Moreover, it helps reduce physical storage space while helping you save on costs and leveraging benefits. Read AppsTec DMS Reviews

Starting Price: Available on Request

Mobile App
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Free Trial

Recent Review

"DMS Review" - Mohd Anas Siddiqui

Category Champions | 2023

#4

Ease of use, including drag-and-drop analytics, lets organizations create and use data-driven insights. Alteryx gives everyone the power to turn data into breakthroughs. Read Alteryx Reviews

Starting Price: Available on Request

Mobile App
API
Free Trial

Recent Review

"Best Tool for all ETL and Automated Tasks" - Rushabh

Contenders | 2023

#5

Dundas BI is a business intelligence tool for the medium to enterprise organizations.It is a fully customized solution. Seamlessly integrates with a smart application. It gives real-time data and information across the organization. Read Dundas BI Reviews

Starting Price: Available on Request

Mobile App
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Recent Review

"Great software to do data management" - Ali Ahmad

Contenders | 2023

#6

board BI is the most effective and efficient solution for the business intelligence. Helps to advance analyze and explore the business data. Very easy to implement and can control whole the process of the enterprise. Suits for sales, marketing, supply chain, finance process. Read board Business Intelligence Reviews

Starting Price: Available on Request

Mobile App
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Recent Review

"It will help you to speed up the data mining process" - Nick Wilson

#7

ADAudit Plus is a fully featured Audit Management Software designed to serve Agencies, SMEs. ADAudit Plus provides end-to-end solutions designed for Windows. This online Audit Management system offers Controls Testing, File Integrity Monitoring, Dashboard, Sensitive Data Identification, Compliance Management at one place. Read ManageEngine ADAudit Plus Reviews

Starting Price: Starting Price: $595 Domain controllers

Mobile App
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Free Trial

Recent Review

"Best Software for auditing and reporting on Active Directory (AD) and file server activities" - Pawan pandey

Emergents | 2023

#8

Spirion offers next-generation data discovery tools that help you identify false-positive results and increase data reliability. It can easily monitor the data movement throughout the lifecycle and auto implement security alerts for better results. Learn more about Spirion

Starting Price: Available on Request

Mobile App
API

Emergents | 2023

#9

SISA Tipper is a fully featured Data Discovery Software designed to serve Startups, SMEs. SISA Tipper provides end-to-end solutions designed for Web App. This online Data Discovery system offers False Positives Reduction, Sensitive Data Identification at one place. Learn more about SISA Tipper

Starting Price: Available on Request

Mobile App
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Emergents | 2023

#10

Your data handling, sharing, and processing would be enterprise-grade if you have Revere by your side. The data discovery software can easily customize alert notification, connects with in-house tools, and align tools around the customer needs over a single click. Learn more about Revere

Starting Price: Available on Request

Mobile App
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Emergents | 2023

#11

Card Recon is helping the organization to identify the data sensitivity and auto-implement the security assistance to protect it against any data breach. The data discovery software can handle more than 200+ data types easily making your operations simplified. Learn more about Card Recon

Starting Price: Available on Request

Mobile App
API

Emergents | 2023

#12

datapine is the leading software provider in the field of innovative business intelligence, dashboard and reporting tools. Thanks to modern self-service analytics functions and an intuitive user interface, non-technical users can also access professional data analytics. Learn more about datapine

Starting Price: Available on Request

Mobile App
Free Trial

Emergents | 2023

#13

FireLayers is a fully featured Security Management Software designed to serve Agencies, Startups. FireLayers provides end-to-end solutions designed for Web App. This online Security Management system offers Web Threat Management at one place. Learn more about ProofPoint

Starting Price: Available on Request

Mobile App
API

Emergents | 2023

#14

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. Learn more about Birst

Starting Price: Available on Request

Mobile App
Free Trial

Emergents | 2023

#15

IBM Cognos Analytics is a fully featured Business Intelligence Software designed to serve Enterprises, Startups. IBM Cognos Analytics provides end-to-end solutions designed for Web App. This online Business Intelligence system offers Trend / Problem Indicators, Performance Metrics, Ad hoc Query, Benchmarking, Dashboard at one place. Learn more about IBM Cognos Analytics

Starting Price: Available on Request

Mobile App
API

Emergents | 2023

#16

Doing critical configuration and creating potential security postures are no effortless with the help of Netwrix, the constructive server monitoring software. The constant and continuous software monitoring done by this server monitoring tool will help you to enhance your productivities. Learn more about Netwrix

Starting Price: Available on Request

Mobile App
Free Trial

Emergents | 2023

#17

Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data. Learn more about Grooper

Starting Price: Available on Request

Emergents | 2023

#18

Digital Guardian Data Protection is a fully-featured Data Loss Prevention Software designed to serve Enterprises, SMEs, and StartUps. Digital Guardian Data Protection provides end-to-end solutions designed for Web App and Android. This online Data Loss Prevention system offers Incident Management and Web Threat Management in one place. Learn more about Digital Guardian Data Protection

Starting Price: Available on Request

Mobile App
API

Emergents | 2023

#19

Atlan is a modern data workspace (Gartner Cool vendor 2020 for DataOps) that aims to enable data democratization within organizations, while preserving data governance and security. Learn more about Atlan

Starting Price: Available on Request

API
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Emergents | 2023

#20

Zeenea Data Catalog is a fully featured Data Management Software designed to serve Enterprises, SMEs and StartUps. Zeenea Data Catalog provides end-to-end solutions designed for Web App and Android. This online Data Management system offers Access control, Data Discovery, Data Mapping, Data Profililng, Process Management, Roles Management, Policy Management, Storage Management, Customer Data, Data Capture, Data Quality Control, Information Governance, Contextual Search, Data Classification, Data Matching and Sensitive Data Identification at one place. Learn more about Zeenea Data Catalog

Starting Price: Available on Request

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Until 31st Mar 2023

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The process of extracting data from various databases, archives, and silos to combine it together to form actionable patterns that can be easily and quickly evaluated is called data discovery. The process of extraction is performed by humans or sometimes it can also be done by artificial intelligence systems

A large amount of diversified data is fed into business systems in order to gain business intelligence (BI). Data discovery requires skills to understand complex data structures and relationships to derive insights. 

Data is regarded as an invaluable asset for businesses.

  • It assists companies and organizations to develop reliable insights that can be applied for their competitive advantage.
  • Data improve the overall decision-making process.
  • It boosts growth strategies and customer experience
  • It enables companies/organizations to drive innovation through their business models.

Data discovery matters because it is the first step to unlock the value behind any data. The process takes jumbled and scattered data from various sources, and assembles it in a way that can be understood by both humans and machines. Through the process, users get more familiar with the available data and are able to highlight key insights important to the company’s success.

Data accumulation and arrangement help business leaders to connect with other relevant enterprizes and external data sources. As the data is becoming complex, users need some flexible functions to access and prepare the data for analysis. 

A software that allows you to locate the metadata so you can organize, manage data effectively and make data-driven decisions is referred to as data discovery software. 

These tools are capable of finding metadata, patterns, and trends among huge piles of data.

Data Discovery software enables businesses and organizations to unlock various insights hidden in their data in order to act upon them. Data discovery tools have many benefits such as:

  • Assemble actionable insights: From trends and patterns to KPIs, database discovery software can quickly generate valuable information from heterogeneous data. It breaks down the complex data structures into a presentable form so that the user can read and understand it properly.
  • Time-efficient: Data discovery tools require data to follow a particular format. Although, data isn’t stored to allow that requirement most of the time. These tools accumulate and format data to aid their analysis. Thus, users get the right data in the right format.
  • Allows to clear and reuse data: Data flows constantly. As new data arrives, the older data needs to be cleared and stored for future use. Data discovery solutions leverage both new and old data so it can be reused reliably.
  • Centralization: Data is versatile and often it contains info which can be used in the various analysis. Different teams or departments can use the same data to extract different insights. Data discovery software simply this process to ensure that all users are using the same data.      

The feasibility of any data discovery tool depends upon the capabilities of the tool used. There are many solutions available out there that provide a different set of features. So the first thing you need to figure out is what kind of features your organization needs. Not all data discovery software fit all kinds of businesses. Although, there are certain attributes that would benefit most of the users and are sort of a necessary part of a data discovery solution:

  • Minimal need for IT support No doubt that IT experts will always be required when you’re dealing with technology, but an effective database discovery software should be such that it can be handled easily by non-experts as well. Data accumulation, classification, and representation should be automated as far as possible.
  • Support for customization according to users’ needs: Every business has some specific data requirements which according to them is important to carry out the analysis. So, a data discovery tool should allow customization to fulfill the specific data requirements. By selecting certain parameters and filters, business leaders will get exactly what they are looking for.
  • Multi-platform support: Data discovery is a continuous process. And it is not something that a single person can carry out alone, it’s a collective task. An effective data discovery software should be available across multiple platforms to promote usability. This can be achieved through cloud-based data discovery tools. It allows users to access the same data over different devices simultaneously.
  • Advanced data collection and processing abilities: Information can be extracted from ample sources. Therefore, the data discovery tool needs to present info in a way that is easy to read and understand. 

Access to full visualization: an ideal data discovery tool not only presents information in an easily interpretable way but it has to do it without leaving behind appropriate data. It should be able to present full visualization to users so they can comprehend the complete picture rather than just bits of it.  

Data discovery tools are also referred to as business intelligence software. These tools are basically designed to enhance traditional BI methods.

Data discovery solutions are primarily divided into three categories - data preparation, visual analysis, and guided advanced analytics. Here are some common tools in each category:

  1. Data Preparation: Alteryx, Cirro, ClearStory Data, Dataiku, Datameer, Datawatch, etc.
  2. Visual Analysis: Advizor, Comma Soft, Dimensional Insight, IBM Watson Analytics, Microsoft Power BI, etc.
  3. Guided Advanced Analytics: Coheris, Dell Statistica, HP Haven, IBM SPSS, RapidMiner, etc.

There are many data discovery solutions available out there and many of them have the following features in common: 

  • It provides a code-free setting for data analysis. 
  • It allows smooth integration of data preparation and analysis.
  • It allows sharing insights with different team members and departments.
  • It supports visual and easy to read and understand data representations.
  • It even offers unorthodox advanced analytics features to support statistical comparisons. 
  • It provides data preparation and representation proficiencies like integrating data from various sources.
  • It allows interactive visualization for the users.
  • It allows users to access data from a variety of sources.

Successful data discovery relies on various factors like accuracy, completeness, manageability, and consistency of the data. Thus, these factors pose some challenges to data discovery.

  1. Size: It refers to the extensive amount of data produced and stored. This can become a stumbling block in the analysis. Therefore data discovery needs to overcome this by adequate regulation and technology.
  2. Diversity: As technology evolves, data keeps coming from different sources. Not only this but data formats are also increasing rapidly. So it becomes difficult to present data consistently. A proper data discovery requires advanced technical skills to combine and clean data to get it ready for analysis.
  3. Speed: This refers to the rate at which data is being created. With technological advancements, the speed at which information is produced is increasing with each passing day. This is another kind of challenge data discovery faces. To overcome this, new data needs to be added to the archive continuously and accurately to derive timely insights.
  4. Consistency: As said earlier, data comes fast is a variety of formats and it needs to be stored. Accomplishing all these maintain the consistency of the data. It ensures that everyone in an organization has access to the same information across different teams or departments. Inconsistencies generate poor decision making due to out of sync and non-updated data.
  5. Data Management: If data is collected and stored inaccurately or inappropriately, then it will lead to errors and undesirable results in the analysis. Therefore, data management is a crucial aspect of data discovery. Properly managed data not only speeds up the analysis process but it also becomes easier to search and locate specific information.

FAQs of Data Discovery Tools

Data discovery software is a tool that allows organizations to gather and integrate data from numerous sources & identify patterns and trends in them. Data preparation, modeling, visual investigation, and advanced statistical analysis are the critical functions of data discovery software.

A. Business Intelligence refers to the collection, analysis, and demonstration of business data by using different technologies, applications, and tools.

A. Basically there are three kinds of data discovery solutions available out there:

- Search engine like tools for textual search queries
- Visual interaction tools for images and graphics processing
- AI-based tools that are capable of recognizing patterns and trends in a sea of data

A. Big Data Discovery: With a combination of big data, data discovery, and data science, this approach helps in creating business insights.
Smart Data Discovery: It depends on the latest technologies like machine learning and artificial intelligence for analysis. This approach is more human-controlled.

A. Business analysts, manufacturing firms, and companies that need to unlock the true value of data use data discovery tools. These tools help businesses reduce risks, customize insights, and identify the flaws in business processes.

A. Visual and search-based data discovery are the two common data discovery processes. However, they differ as follows

- Search-based data discovery provides a broad scope to unveil data from structured as well as the unstructured data model, whereas visual data discovery uncovers relevant data from dashboards, reports, tables, and charts.
- Visual data discovery empowers non-technical users to produce more descriptive and advanced analytics as opposed to search-based data discovery.

A. To get an effective data discovery tool for your business, it is crucial to check if the tool poses – limited IT support, extensive customization, compatibility across different platforms, full visualization, and advanced data gathering and refining abilities.

Last Updated: February 27, 2023