Data classification
Data classification tools are software applications used to categorize and label data based on predefined criteria, such as sensitivity, confidentiality, and regulatory compliance. +Show More
| Products | Position | Customer satisfaction | |||
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Safetica |
Leader
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Satisfactory
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Safetica is a global software company founded in 2007, serving its customers in 120 countries globally. The software provides companies with an answer to insider threats and data loss. There are two solutions to choose from, Safetica NXT (cloud-native) and Safetica ONE (on-prem). 1. Safetica ONE (on-premise) Safetica ONE protects data against human error and malicious attacks. It is an all-in-one solution that integrates seamlessly into your existing security system. Safetica ONE is available in three tiers based on your company's requirements. 2. Safetica NXT (cloud-native) Safetica NXT is a cloud-based DLP solution for companies without in-house infrastructure. It provides low-maintenance security with its ease of use and automated features. Safetica NXT offers monthly or annual pay-as-you-go subscriptions. The basic subscription includes 30 users. Users can cancel their subscription anytime.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
10-20 case studies
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Total funding
$5-10m
# of funding rounds
4
Latest funding date
May 19, 2020
Company
Type of company
private
Founding year
2007
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FileCloud |
Leader
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Satisfactory
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FileCloud is a hyper-secure content collaboration platform (CCP) that provides industry leading compliance, data governance, data leak protection, data retention and digital rights management capabilities. Workflow automation and granular control of content sharing across most enterprise platforms is fully integrated into the complete CCP stack. The platform offers powerful file sharing, sync, and mobile access capabilities on public, private, and hybrid clouds. FileCloud is headquartered in Austin, Texas and is used by millions of users around the world, including top Global 1000 enterprises, educational institutions, government organizations, and managed service providers. For more information, visit www.filecloud.com.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
30-40 case studies
Company's number of employees
100-200 employees
Company's social media followers
3k-4k followers
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Netwrix Auditor |
Leader
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Satisfactory
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Netwrix Auditor is a visibility platform for user behavior analysis and risk mitigation that enables control over changes, configurations and access in hybrid IT environments to protect data regardless of its location. The platform provides security intelligence to identify security holes, detect anomalies in user behavior and investigate threat patterns in time to prevent real damage. Netwrix Auditor includes applications for Active Directory, Azure AD, Exchange, Office 365, Windows file servers, EMC storage devices, NetApp filer appliances, SharePoint, Oracle Database, SQL Server, VMware, Windows Server and network devices. Empowered with a RESTful API and user activity video recording, the platform delivers visibility and control across all of your on-premises and cloud-based IT systems in a unified way.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
100-200 case studies
Company's number of employees
400-1k employees
Company's social media followers
50k-100k followers
# of funding rounds
2
Latest funding date
May 9, 2023
Company
Type of company
private
Founding year
2006
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Symantec Data Loss Prevention |
Leader
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Satisfactory
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Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
10k-20k employees
Company's social media followers
100k-1m followers
Total funding
$100000000000
# of funding rounds
1
Latest funding date
February 12, 2018
Last funding amount
$100000000000
Company
Type of company
public
Founding year
2005
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Satori Cyber |
Leader
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Satisfactory
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Satori is a Data Security Platform that provides a first of its kind Personalized Data Portal (™), or PDP, where your users get access to the data they need when they need it. Frictionless, just-in-time access to data, with built-in security and compliance, accelerating any data project and enabling data-driven innovation across the organization. Satori keeps track of users, data and usage and as those change and security & compliance requirements evolve, Satori adapts, and keeps the data flying fast and secure. Focus on creating beautiful, revenue generating data products and projects, and cut down your main obstacle for innovation - data time-to-value.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
1-5 case studies
Company's number of employees
100-200 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
2
Latest funding date
September 14, 2021
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2019
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Varonis Data Security Platform |
Challenger
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Satisfactory
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Data Security platform detects insider threats and cyberattacks by analyzing data, account activity, and user behavior; prevents and limits disaster by locking down sensitive and stale data; and efficiently sustains a secure state with automation.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
2k-3k employees
Company's social media followers
100k-1m followers
Total funding
$10-50m
# of funding rounds
8
Latest funding date
January 1, 2021
Company
Type of company
public
Founding year
2005
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Microsoft Purview DLP |
Challenger
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Satisfactory
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Helps prevent unauthorized sharing, use, or transfer of sensitive information across apps, services, and devices.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Company's number of employees
100k-1m employees
Company's social media followers
20m-30m followers
Total funding
$1-5m
# of funding rounds
3
Latest funding date
January 2, 2024
Company
Type of company
public
Founding year
1975
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Spirion Data Platform |
Challenger
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Satisfactory
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Spirion has relentlessly solved real data protection problems since 2006 with accurate, contextual discovery of structured and unstructured data; purposeful classification; automated real-time risk remediation; and powerful analytics and dashboards to give organizations greater visibility into their most at-risk data and assets. Spirion's data protection software enables organizations to reduce risk exposure, gain visibility into their data footprint, improve business efficiencies and decision-making while facilitating compliance with data protection laws and regulations. Spirion exists to protect what matters most – the sensitive personal data of our colleagues, our customers, and our communities. Spirion understands that data is the lifeblood of modern society. We believe that, to allow data to drive growth in a boundless digital frontier, there must be an open flow of information that is protected from misuse – intentional or not. With this core belief comes the responsibility to protect every individual’s right to data privacy and security, and every organization’s sensitive data and intellectual property. Our customers don’t want fast and easy – they want accurate and persistent. And that’s what we will always focus on – because you cannot protect what you cannot find.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfaction
Average rating
Market presence
Number of case studies
10-20 case studies
Company's number of employees
50-100 employees
Company's social media followers
5k-10k followers
Total funding
$10-50m
# of funding rounds
2
Latest funding date
February 12, 2020
Last funding amount
$10-50m
Company
Type of company
private
Founding year
2006
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Microsoft Purview Information Protection |
Challenger
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N/A
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Microsoft Purview Information Protection (formerly Microsoft Information Protection) helps you discover, classify, and protect sensitive information wherever it lives or travels.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
100k-1m employees
Company's social media followers
20m-30m followers
Total funding
$1-5m
# of funding rounds
3
Latest funding date
January 2, 2024
Company
Type of company
public
Founding year
1975
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Druva Data Security Cloud |
Niche Player
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N/A
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The Druva Data Security Cloud is a fully managed SaaS solution offering data protection across cloud, on-premises, and edge environments.
Basis for EvaluationWe made these evaluations based on the following parameters; Customer satisfactionMarket presence
Company's number of employees
1k-2k employees
Company's social media followers
100k-1m followers
Total funding
$250-500m
# of funding rounds
9
Latest funding date
April 19, 2021
Last funding amount
$100-250m
Company
Type of company
private
Founding year
2008
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“-”: AIMultiple team has not yet verified that vendor provides the specified feature. AIMultiple team focuses on feature verification for top 10 vendors.
Sources
AIMultiple uses these data sources for ranking solutions and awarding badges in data classification:
Data classification Leaders
According to the weighted combination of 4 metrics
What are data classification
customer satisfaction leaders?
Taking into account the latest metrics outlined below, these are the current data classification customer satisfaction leaders:
Which data classification solution provides the most customer satisfaction?
AIMultiple uses product and service reviews from multiple review platforms in determining customer satisfaction.
While deciding a product's level of customer satisfaction, AIMultiple takes into account its number of reviews, how reviewers rate it and the recency of reviews.
- Number of reviews is important because it is easier to get a small number of high ratings than a high number of them.
- Recency is important as products are always evolving.
- Reviews older than 5 years are not taken into consideration
- older than 12 months have reduced impact in average ratings in line with their date of publishing.
What are data classification
market leaders?
Taking into account the latest metrics outlined below, these are the current data classification market leaders:
Which one has collected the most reviews?
AIMultiple uses multiple datapoints in identifying market leaders:
- Product line revenue (when available)
- Number of reviews
- Number of case studies
- Number and experience of employees
- Social media presence and engagement
What are the most mature data classification?
Which one has the most employees?
Which data classification companies have the most employees?
814 employees work for a typical company in this solution category which is 789 more than the number of employees for a typical company in the average solution category.
In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 10 companies with >10 employees are offering . Top 3 products are developed by companies with a total of 200k employees. The largest company in this domain is Microsoftband with more than 200,000 employees. Microsoftband provides the data classification solution: Microsoft Purview DLP
Insights
What are the most common words describing data classification?
This data is collected from customer reviews for all data classification companies. The most positive word describing data classification is “Easy to use” that is used in 14% of the reviews. The most negative one is “Difficult” with which is used in 4% of all the data classification reviews.
What is the average customer size?
According to customer reviews, most common company size for data classification customers is 51-1,000 employees. Customers with 51-1,000 employees make up 50% of data classification customers. For an average Data solution, customers with 51-1,000 employees make up 13% of total customers.
Customer Evaluation
These scores are the average scores collected from customer reviews for all data classification. are most positively evaluated in terms of "Overall" but falls behind in "Ease of Use".
Where are data classification vendors' HQs located?
Trends
What is the level of interest in data classification?
This category was searched on average for 8.9k times per month on search engines in 2024. This number has decreased to 0 in 2025. If we compare with other data solutions, a typical solution was searched 4.3k times in 2024 and this decreased to 0 in 2025.