BigID and erwin Data Intelligence both compete in the data management space. BigID holds an advantage in data discovery, protection, and AI capabilities, while erwin excels in data governance and integration.
Features: BigID focuses on data discovery, classification, and protection, handling both structured and unstructured data effectively. Key offerings include scanning, cataloging, and compliance support. Its AI and machine learning capabilities set it apart in the data-centric landscape. Erwin Data Intelligence shines in comprehensive data governance, providing strong data lineage, business glossaries, and metadata management. Its mapping tools and integration capabilities are advantageous for enterprises aiming for a unified data management approach.
Room for Improvement: BigID could enhance usability, security features, file viewing, and automation. There is also a push for better GRC capabilities and broader software support. Erwin could improve its user interface for greater intuitiveness and enhance integration with large datasets. Its automation and AI features need refining to better handle extensive metadata and manual efforts for non-standard features.
Ease of Deployment and Customer Service: BigID supports deployment across Private, Public, and Hybrid Cloud environments and receives positive responses for its prompt and adaptable support, though some report delays. Erwin mainly operates on-premises with a few cloud options, providing consistent and responsive support, although complex case handling varies by user.
Pricing and ROI: BigID is generally more expensive, tailored for larger enterprises, but offers modular pricing for diverse needs, providing ROI through its regulatory compliance and data security strengths. Erwin presents competitive pricing with reasonable licensing fees, offering cost-effective ROI by enhancing data management and governance efficiency.
It is one of the best tools in the market.
BigID has one of the best technical support teams.
Professional service provides early and efficient support.
BigID is generally stable, however, there is a noted issue with bulk tagging that can affect scan results.
There is also an issue with incident tagging, where all objects get tagged without an option to untag specific ones, and reverting changes is only possible through MongoDB Central, which can lead to data loss for certain periods.
I want them to focus on data mapping, assessment, automation workflow, and privacy incident management.
BigID might be expensive as it involves various paid services, like data retention and graphic rights management.
The pricing is competitive in the market, however, I need to ask for the right price.
One of the best features of BigID is its strength in data discovery and governance.
The most valuable feature of BigID is its large number of classifiers, which allow us to scan for specific data such as SSN numbers.
BigID is a leader in data security, privacy, compliance, and governance: enabling organizations to proactively discover, manage, protect, and get more value from their data in a single platform for data visibility and control. Customers use BigID to reduce their data risk, automate security and privacy controls, achieve compliance, and understand their data across their entire data landscape: including multicloud, hybrid cloud, IaaS, PaaS, SaaS, and on-prem data sources.
Erwin Data Intelligence drives automation, supports data catalog and literacy, and offers Smart Data Connectors for efficient metadata handling. Its customization flexibility and integration facilitate enhanced data governance, visualization, analysis, and compliance.
Erwin Data Intelligence offers automation scripts that accelerate development, integrated data cataloging, data profiling, and lineage analysis to streamline information management. Users appreciate its capability in metadata harvesting, code engineering, and infrastructure integration. The tool provides flexibility to enhance governance and data visualization. While it performs well, users have noted challenges with API robustness and interface complexity, and there are opportunities to improve workflow integration, AI features, and large dataset handling. Companies rely on it for metadata management, automation of metadata mappings, and data governance to support compliance and literacy.
What are the main features of Erwin Data Intelligence?In industries such as finance, healthcare, and retail, organizations implement Erwin Data Intelligence for efficient metadata management and governance. It assists in automating lineage and mapping, supporting ETL procedures while enhancing compliance and data literacy efforts. Its flexibility and integration support create valuable data insights and governance improvements.
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