Overview
Data governance and responsible use is a growing priority for large organizations but too often requires trading off agility and self-service. Okera provides Data Access Control, enabling large enterprises to use data resources responsibly, at scale. The Okera ODAP platform enables governance and agility with:
- Dynamic fine-grained and access control
- Single point of governance for multiple analytic query engines
- Consistent policy enforcement
- 100 percent audit-ability and data anonymization
- Hyperscale performance.
Okera ODAP Includes: Web UI: for up to 25 users APIs: for custom automation Quick Start: implementation and success training
Highlights
- Policy Definition: Empower those who understand the data to author and manage fine-grained access policies without writing code.
- Policy Enforcement: Apply fine-grained access policies consistently across all analytics tools, with all transformations done dynamically at run time.
- Data Discovery & Visibility: Understand the scope of sensitive data in the data lake, and receive insights into who is accessing it and how.
Details
Typical total price
$10.864/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
m5.4xlarge | $10.00 | $0.768 | $10.768 |
m5.8xlarge | $10.00 | $1.536 | $11.536 |
c5n.4xlarge Recommended | $10.00 | $0.864 | $10.864 |
c5n.9xlarge | $10.00 | $1.944 | $11.944 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
No Refunds Available
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
After launching your EC2 instance, Okera will install.
Once it is ready:
- Read these docs to configure your Okera deployment https://docs.okera.com/odas/2.2.x/deploy/aws/aws-marketplace/
- Navigate to https://
:8083 in your browser to access the Okera UI. - The username is [okera] and the initial password is your Instance ID.
Resources
Vendor resources
Support
Vendor support
Okera offers first hand support to all subscribers of the platform based upon offering. Okera Support, support@okera.com , +1 (415) 741-3282,
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Data management and access control platform for big data systems.
Improved data security: Okera provides role-based access control, allowing administrators to define who has access to what data.
Increased efficiency: With Okera, data engineers and analysts can access and work with the data they need without relying on IT for help.
Better data governance: Okera provides a centralized platform for managing and auditing data access, making it easier to ensure compliance with data privacy regulations.
Scalability: Okera is designed to scale to meet the needs of large organizations, so users can access the data they need without performance bottlenecks.
Integration with popular data tools: Okera integrates with popular big data tools such as Apache Spark, Apache Hive, and Apache Impala, making it easy to work with data in a familiar environment.
Steep learning curve: Okera's central control and management features may require a significant investment in time and resources to set up and maintain, particularly for organizations with limited IT resources.
Integration challenges: Integrating Okera into an existing big data infrastructure may require custom development work, which can be time-consuming and expensive.
Performance overhead: The central management and control features of Okera may introduce some performance overhead, particularly for complex or resource-intensive data access and processing tasks.
Data Management: Okera provides a centralized platform for managing big data, making it easier to organize, store, and share data across an organization.
Data Access Control: Okera provides fine-grained access control, allowing administrators to define who has access to what data, improving data security and privacy.
Compliance: Okera provides a centralized platform for managing and auditing data access, making it easier to ensure compliance with data privacy regulations such as GDPR and HIPAA.
Data Warehousing: Okera integrates with popular data warehousing tools such as Apache Hive and Apache Impala, allowing organizations to use their existing data warehousing infrastructure with Okera's security and management features.
Big Data Analytics: Okera integrates with Apache Spark, allowing organizations to perform big data analytics on large data sets while ensuring data security and privacy.
Data Science: Okera provides a secure platform for data scientists to access and work with the data they need, enabling them to perform data analysis and machine learning tasks with confidence.