AIMultiple ResearchAIMultiple ResearchAIMultiple Research
We follow ethical norms & our process for objectivity.
This research is funded by Sentra.
DSPM
Updated on Feb 19, 2025

BigID DSPM: 5 Alternatives, Features & Pricing in 2025

Headshot of Cem Dilmegani
MailLinkedinX

BigID is a DSPM vendor with data detection and response (DDR), data loss prevention (DLP), and file access intelligence (FAI) capabilities. User reviews show that BigID offers highly customizable data classifiers, however, it is inefficient in providing accurate data insights. See the top 5 BigID alternatives with an overview of BigID’s capabilities:

Key features of BigID DSPM & its competitors

Last Updated at 01-10-2025
VendorAutomated remediationSecurity playbook orchestrationData classifiers

BigID

200+

Sentra

200+

Varonis Data Security

400+

Prisma Cloud by Palo Alto Networks

150+

Securiti

200+

OneTrust Data Discovery & Classification

✅ – Orchestrate data retention & minimization

200+

See feature descriptions.

DSPM vendors allow enterprises to visualize and investigate their data assets to discover. Each provider has distinct capabilities, here is an evaluation of the leading top 5 BigID alternatives:

  • Sentra is a DSPM tool that provides support for a large number of cloud services (e.g. Amazon AWS, EC2), and containers and virtual machines. The solution leverages BERT ML architecture to classify data and unstructured documents and enables you to use custom classifiers and sensitivity labels.
  • Varonis Data Security is a data-centric security platform that offers extensive SaaS, and on-premises coverage. Its integration options with several platforms, including network-attached storage (NAS) devices such as Hitachi and Dell Isilon, make it suitable for companies with diverse file-sharing systems.
  • Prisma Cloud by Palo Alto Networks is a DSPM vendor with vulnerability management, compliance, and threat detection capabilities. It provides extensive identity and access management (IAM) security integrations and uses over 100 pre-built classifiers. Note that, Palo Alto Networks recently acquired Dig Security and integrated it into Prisma Cloud.
  • Securiti is a DSPM solution that specializes in data privacy management. It provides a “data privacy graph”, which helps security teams track and manage data access and compliance requirements. Additionally, its data security capabilities enable users to identify shadow and cloud-native data assets across 200+ platforms.
  • OneTrust Data Discovery & Classification is a DSPM tool that focuses on discovering and classifying structured data across PDFs, and ZIP files. It is useful software for privacy governance and data mapping. The solution can scan over 200 distinct data sources, including cloud and on-premises, however, it cannot identify user account-level access. 

For more details read our article on the top 10 DSPM vendors.

BigID DSPM reviewed

Source: BigID1

BigID is a data privacy and protection platform that specializes in data discovery, classification, and governance. It assists enterprises in identifying and managing sensitive data by leveraging data intelligence.

Key features:

  • Shadow data analysis: Identifies data captured but remains untouched after data collection. Executes shadow data analysis across 60+ connected services (e.g., SMB, NFS, Box, Google Drive, Snowflake, and Outlook).
  • Cluster analysis: Uses machine learning to cluster data based on types (e.g. invoice data).
  • Access intelligence: Uses an access intelligence dashboard to show overexposed and over-permissioned data.
  • Automated labeling and remediation: Uses automated labeling, policy enforcement, and encryption, to remedy sensitive and personal data risks.

Why we like it:

  • Extensive API access: BigID’s API capabilities allow seamless integration with existing enterprise systems. This enables high customization across diverse IT ecosystems. For example, by integrating with IAM systems such as Okta or Active Directory, BigID can effectively automate access control reviews at scale.
  • Strong on-prem capabilities: BigID is better suited for on-premises environments. It requires improved support for cloud environments and more integration options with cloud-native platforms.
  • Broad compliance focus: Supports several regulatory frameworks NIST, GDPR, CCPA, LGPD, CDMC, BCBS 239, DCAM, CMMC, and CIS Control 3.

What needs improvement:

  • Scanning process and false positives: BigID’s scanning process is slow. Users could manually catalog data faster than waiting for BigID to finish. Additionally, BigID creates noise with a high number of false positives. 
  • Data visibility and accuracy: The solution has limited visibility of all the data across large environments,  especially for unstructured data repositories. Thus, BigID is inefficient in locating all instances, which can lead to incomplete data retrieval, resulting in inaccurate data insights.

BigID DSPM: Product offerings

1. BigID DSPM: Data security platform

BigID’s data security platform (DSP) classifies and stores your data based on sensitivity, type, policy, and context. This helps identify vulnerabilities and decrease your attack surface. 

Source: BigID2

2. BigID DSPM: Data security posture management 

With BigID’s DSPM  solution, you can search, store, and classify your data from anywhere using agentless data discovery and NLP customization that can automatically detect shadow data across on-premises and cloud infrastructure.

BigID can discover structured and unstructured data across IaaS, PaaS, SaaS, mainframes, dev tools, code repos, and apps.

Moreover, with BigID you can automatically trigger a Jira or ServiceNow ticket and assign a data owner to that ticket. Alternatively, you can integrate BigID with SOAR systems to create and implement security playbooks that automate and coordinate diverse data security duties and responses across several technologies and teams.

Source: BigID3

3. BigID DSPM: Data privacy management

BigID also offers a privacy management suite to manage data privacy compliance. This suite enables users to handle data rights requests and manage data lifecycles, including both structured and unstructured data.

Source: BigID4

4. BigID DSPM: Data detection and response

BigID’s DDR capabilities can identify data-related anomalies, including:

  • Data accessed from an unusual geographic region or IP address.
  • Logging systems deactivated containing sensitive data.
  • Sensitive information downloaded or updated.
  • An external party downloaded sensitive data.
  • An anonymous individual accessed sensitive data for the first time.

Additionally, BigID’s DDR capabilities can scan several platforms, including:

  • Cloud service providers (such as AWS, Microsoft Azure, and Good Cloud Platform) 
  • SaaS applications (such as Microsoft 365)
  • Data warehouses (such as Snowflake)

This eliminates the blind spots reported by threat detection solutions.

Source: BigID5

Coverage: BigID supports interactions across several environments (SaaS, IaaS, PaaS, data centers & on-prem, dev tools) and data types. Some of the key integrations are listed below:

  • Cloud SaaS: Box, Confluence, DocuSign, Dropbox, Hugging Face, Microsoft Dynamics CRM, Oracle ERP. Salesforce, SAS, ServiceNow, Tableau, Workday, Zendesk and more.
  • Cloud IaaS: Amazon (AWS) S3, Amazon SageMakerM Azure Data Lake, Microsoft Azure Blob Storage, Azure File Store, Kafka, OpenAI, Snowflake and more.

BigID DSPM: Pricing

Pricing for BigID can vary widely but often ranges from $15,000 – $175,000 annually for enterprise-grade tools. Note that pricing is determined by contract duration. Buyers may pay upfront or in installments, depending on the terms of your contract with the vendor.6

BigID’s pricing is based on several parameters, including the number of data sources, apps, and connectors, deployment method, and level of service and support. It has numerous pricing options, such as:

  • Zero trust bundle (data access intelligence, remediation features)
  • Insider threat bundle (data access intelligence + remediation + retention features )
  • Data minimization bundle (data remediation, deletion features)
  • DSPM bundle (data risk assessment, remediation, access intelligence features)

BigID DSPM: User reviews

User reviews highlight that BigID offers strong automated controls and customizable connectors for data integration, however, it has limitations such as a non-intuitive UI, classification inaccuracies, and usability issues. See key highlights from BigID’s pros and cons:

Pros

Source: Gartner7

Data classifiers and connectors: Data classifiers are highly customizable, which helps maintain strong API integrations with several systems.

Source: Gartner8

Automated cloud controls: The cloud environment controls are automated, which helps reduce human errors.

Cons

Source: Gartner9

UI and pathing maturity: The user interface for reviewing metadata within the application is clunky. The process for on-premises bug patching is not mature.

Source: Gartner10

Usability issues: The catalog is difficult to navigate and does not allow for column searches; instead, it simply returns tables/views/files. The export functionality is buggy; attempting to export data sources with more than 1 million objects is difficult.

Classification accuracy: Data classification algorithms provide low accuracy. This causes high rates of false positives and creates noise.

What is data security posture management (DSPM)?

Gartner defines DSPM as a set of technologies that assist organizations in discovering, monitoring, and protecting their data across several CSPs, including AWS, Microsoft Azure, and Google Cloud, as well as apps and platforms such as SaaS and IaaS.11

Feature descriptions

Vendors with:

  • Automated remediation: Provide real-time responses to DSPM issues, these vendors can:
    • Remove unnecessary permissions
    • Remedy misconfigurations
    • Apply DLP policies
  • Security playbook orchestration: Integrate tools to orchestrate data security playbooks, reduce manual tasks, and streamline threat detection, investigation, and remediation processes.
  • High number of data classifiers: Categorize, and apply more detailed controls to sensitive data.

Further reading

Share This Article
MailLinkedinX
Cem has been the principal analyst at AIMultiple since 2017. AIMultiple informs hundreds of thousands of businesses (as per similarWeb) including 55% of Fortune 500 every month.

Cem's work has been cited by leading global publications including Business Insider, Forbes, Washington Post, global firms like Deloitte, HPE and NGOs like World Economic Forum and supranational organizations like European Commission. You can see more reputable companies and resources that referenced AIMultiple.

Throughout his career, Cem served as a tech consultant, tech buyer and tech entrepreneur. He advised enterprises on their technology decisions at McKinsey & Company and Altman Solon for more than a decade. He also published a McKinsey report on digitalization.

He led technology strategy and procurement of a telco while reporting to the CEO. He has also led commercial growth of deep tech company Hypatos that reached a 7 digit annual recurring revenue and a 9 digit valuation from 0 within 2 years. Cem's work in Hypatos was covered by leading technology publications like TechCrunch and Business Insider.

Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.
Mert Palazoglu is an industry analyst at AIMultiple focused on customer service and network security with a few years of experience. He holds a bachelor's degree in management.

Next to Read

Comments

Your email address will not be published. All fields are required.

0 Comments