Okera Reviews & Pricing

Key Features

• Dynamic Access Control: Offers fine-grained access to data at the row, column, and cell level based on user roles and attributes.
• Policy Management Engine: Enables the creation and management of data access policies in a centralized platform to enforce security across different environments.
• Data Discovery and Classification: Automatically identifies and classifies sensitive data to apply the appropriate access controls.
• Auditing and Reporting: Provides comprehensive audit logs and reports to track data access, usage, and adherence to policies for compliance purposes.
• Self-service Access Request Workflow: Streamlines the process for users to request access to data, with approval workflows to ensure governance.
• Cross-platform Compatibility: Works across multiple data storage platforms, including cloud and on-premises environments, to maintain consistent access control.
• Data Privacy Automation: Automates privacy controls to manage and protect personal data in adherence to privacy regulations like GDPR and CCPA.
• Scalable Architecture: Supports scalability to handle large volumes of data and complex data access patterns without sacrificing performance.
• Integration with Data Catalogs: Integrates with data catalogs to enhance metadata management and provide context to data access policies.
• User-driven Data Exploration: Allows secure data exploration for users with proper permissions, enabling insights without risking data breaches.

Approach to Common Challenges

• Data Quality: Ensuring data accuracy, completeness, and consistency across the organization.
  • Okera provides data validation rules and data quality dashboards to identify and flag poor data quality.
  • Data profiling and data cleansing capabilities help improve data quality over time.
• Data Security: Protecting sensitive data from unauthorized access, corruption, or loss.
  • Okera provides fine-grained access control, encryption, and masking to secure data.
  • Audit logs and data lineage track data access and changes for compliance and security purposes.
• Data Governance: Establishing policies, procedures, and standards for data management and use.
  • Okera provides a centralized repository for data policies, standards, and procedures.
  • Workflows and approval processes ensure compliance with data governance policies.
• Data Discovery: Finding and understanding relevant data across disparate systems and formats.
  • Okera provides a searchable inventory of data assets, including metadata and lineage information.
  • Data catalogs and glossaries facilitate data discovery and understanding.
• Data Integration: Combining data from multiple sources into a unified view.
  • Okera provides data integration tools to combine data from various sources.
  • Data transformation and mapping capabilities ensure data consistency across systems.
• Data Management: Managing data across its lifecycle, from creation to deletion.
  • Okera provides data management tools to create, update, and delete data.
  • Data retention and deletion policies ensure compliance with regulatory requirements.

Cost Of Ownership

• Q: What is the pricing model for Okera?
  A: Okera offers a subscription-based pricing model, with different pricing tiers based on the number of data sources, users, and data volume. This allows organizations to scale their Okera deployment to meet their specific needs and budget.
• Q: What are the typical costs associated with implementing and using Okera?
  A: The total cost of ownership (TCO) for Okera will vary depending on the size and complexity of the organization, as well as the specific features and functionality required. However, SelectHub estimates that the TCO for Okera is typically between 15% and 20% of the initial subscription cost. This includes the cost of software, maintenance, and training.
• Q: What are some of the hidden costs of Okera?
  A: Some of the hidden costs of Okera include the cost of data migration, data cleansing, and change management. Data migration can be a complex and time-consuming process, and it is important to factor in the cost of this upfront. Data cleansing is also important, as it can help to improve the quality of data in the Okera system. Change management is also important, as it can help to ensure that users are properly trained on the new system and that changes are implemented smoothly.

Limitations

• Limited deployment options: Okera is currently primarily deployed on-premises, with limited cloud-based deployment options.
• Emerging technology: Okera is a relatively new technology, and its long-term viability and market adoption may not be fully established.
• Pricing complexity: Okera's pricing structure can be complex, making it difficult for organizations to accurately estimate the total cost of ownership (TCO).
• Scalability concerns: As data volumes grow, Okera's scalability may require careful planning and infrastructure provisioning to avoid performance bottlenecks.

Demo Resources

• Okera Documentation: Detailed documentation providing an overview of the platform, its features, and how to use it.
• Okera Tutorials: Step-by-step tutorials that cover various aspects of the platform, such as data integration, data quality, and data security.
• Okera Use Cases: Real-world use cases that demonstrate how Okera can be used to solve specific data management challenges.
• Okera Customer Stories: Case studies and success stories from customers who have implemented Okera in their organizations.
• Okera Blog: A blog that provides updates, tips, and best practices on data management and Okera.
• Okera Community: An online community where users can ask questions, share knowledge, and collaborate with others who are using the platform.
• Okera Sandbox: A virtual sandbox environment where users can try out Okera without having to install or configure anything.
• Okera Support: A comprehensive support portal that provides access to product experts, knowledge base articles, and other resources.

FAQ

• Q: How does Okera address different compliance regulations like GDPR?
  A: Okera provides features to help organizations comply with regulations, automating data privacy controls and ensuring proper data classification and access management.
• Q: Can Okera integrate with existing data platforms?
  A: Yes, Okera is designed to work seamlessly with various data storage solutions, both on-premises and in the cloud, facilitating integration with an organization's existing data ecosystem.
• Q: Does Okera offer real-time access control?
  A: Okera enables dynamic access control, allowing organizations to manage and enforce access policies in real-time across their data landscape.
• Q: How does Okera ensure secure data collaboration among teams?
  A: Through its policy management and role-based access control, Okera ensures that users can only access data they are authorized to see, which is essential for secure collaboration.
• Q: What kind of scalability can be expected with Okera?
  A: Okera's platform is built to handle large-scale data environments, offering a scalable solution that grows with an organization’s data demands.
• Q: Is user access to data audited in Okera?
  A: Absolutely, Okera provides detailed auditing capabilities, logging who accessed what data and when, which is critical for security and compliance tracking.
• Q: Does Okera provide options for users to self-service their data access requests?
  A: Yes, it offers a self-service access request feature with a built-in approval workflow, simplifying the data access process while maintaining governance controls.
• Q: How does Okera handle the classification and tagging of data?
  A: Okera auto-classifies data based on predefined policies and enables tagging, which helps in applying the correct access controls and in data discovery.