BigID Reviews

BigID offers strong returns, aligning with competitiveness ratios and benefiting businesses by supporting compliance and managing data types. Its API integration excels over alternatives like Microsoft Purview. Essential for entities in markets with strict data regulations, BigID reduces the risk of hefty fines. Financially beneficial, it notably aids in identifying data locations and processes like DSAR and RoPA automation, preventing potential regulatory penalties. Users report significant investments correlating positively with business gains.

BigID's pricing is considered premium and capacity-based, often perceived as expensive, though competitive among similar data discovery tools. It offers modular pricing, allowing organizations to purchase only necessary features, making it potentially cost-effective for large enterprises with extensive data management needs. For sectors like healthcare, technology, or manufacturing with significant data sources, BigID can be valuable. However, it may not suit smaller businesses due to its higher cost and complexity.

• "The product is expensive, but so are all competitor tools"
• "The solution is expensive."
• "The solution is not licensed per user but rather based on capacity. For instance, organizations with large amounts of data, such as 50 GB or more, are the ones that typically qualify for BigID."

BigID is primarily used for data discovery, classification, and governance, assisting users in understanding where data resides within environments like cloud systems and on-premises. Users leverage it for compliance with laws such as GDPR and CCPA, identify sensitive data, and automate DSAR processes. Integrated capabilities extend to areas like encryption standards, enhancing data management while offering integration with other security functions. BigID supports data protection through scanning of structured and unstructured data.

BigID's technical support is praised for being highly responsive and prompt, providing answers and customization. They support multiple data types and comply with standards. While some users experience delays and restrictions based on subscriptions, the general consensus rates support around eight out of ten. Interaction with the console support team is beneficial, though reaching higher-level support can be time-consuming. Direct weekly meetings offer satisfactory assistance, but general team response may lag.

BigID's initial setup can vary from easy to complex based on user experience and project goals. Some found it straightforward due to their IT background, while others noted complexity in onboarding and integration with diverse data systems. Organizations mentioned the deployment took time, especially in discovery and data mapping phases. The cloud-based nature simplifies infrastructure tasks, and support from BigID staff aids the process. Maintenance and operational requirements depend on chosen service packages.

BigID is recognized for its scalability across various environments, though some users find implementation steps necessary for full effectiveness. While it accommodates large organizations and supports scalability in terms of user numbers and node sizes, some users experience limitations in data presentation requiring external tools. Recent integrations, however, may have improved these issues. Ratings for scalability vary among users, with some highlighting ease of purchasing additional scanners to fit organizational needs.

BigID demonstrates notable stability, recognized by users as reliable. Despite a learning curve due to its newness, users anticipate improved stability over time. Some rate its stability seven or eight out of ten, while others assign a nine or even lower ratings due to its market maturity process. Although issues like incorrect incident tagging occur, comprehensive onboarding and training enhance user proficiency and confidence in BigID's usability.