"Data & AI Governance for everyone as it should be"
Featured in Gartner's Magic Quadrant for Data & Analytics Governance Platforms, Anjana Data Platform is the most innovative Data & AI Governance Platform to leverage user-defined Adaptive Governance to succeed in digital business regardless functional and technical architecture.
Anjana Data Platform is the Data & AI Governance Platform that goes above and beyond to drive the digital future of organizations. Far beyond...
Traditional data governance. Anjana Data enables the implementation of a modern and comprehensive governance strategy that considers all types of data assets, AI, information, and knowledge.
The cataloging of technical assets. Anjana Data redefines the way organizations govern their data and AI assets with a business vision and in a technology-agnostic way.
Traditional systems and architectures. Anjana Data fits perfectly into hybrid ecosystems, covering both legacy technologies and Big Data & multicloud environments, and even Data Space ecosystems.
The purchase of a technology tool. Anjana Data offers a vision that brings together people and processes to adopt a holistic and comprehensive approach that serves as a driver of competitiveness and innovation.
Regulatory compliance. Anjana Data enables you to implement and operationalize democratization strategies with offensive, proactive, and preventive approaches to maximize the value of your data and AI assets with control and regulatory compliance.
Bureaucracy that does not add value. Anjana Data simplifies and streamlines data and AI management and governance processes through advanced automation mechanisms, an open and interoperable architecture, and integrations with other technologies.
Data expert teams. Anjana Data offers an intuitive platform so that the entire organization can collaborate on the governance and democratization of its data and AI assets, from data experts to business users.
Large corporations. Anjana Data offers an adoption model that breaks down typical barriers so that any organization can get started with the governance of its data and AI assets, regardless of its level of maturity.
Anjana Data is not just a Data Governance Tool, it is the implementation of a philosophy as a result of an extensive experience in Data & Analytics related projects.
Highlights
VISION:
We propose a new approach for the implementation and operativization of Data & Analytics Governance based on the collaborative and incremental work of the different roles involved and a metadata-centric management focusing on end-2-end technical processes automation and the objective of turning data into a strategic asset for the organization
ARCHITECTURE:
In order to put Data & Analytics Governance in the center with an agnostic vision from storage and processing technologies, we have designed a modular, services-oriented, interoperable (API-first) architecture, with unlimited horizontal scalability (Big Data native), flexible and configurable, thanks to the use of cutting-edge and consolidated open-source technologies
PRICING:
We want to drastically reduce the initial investment required to implement Data & Analytics Governance, that is why we offer a fully flexible and scalable pricing, in an annual pay-per-use mode with no limit of users so that you can achieve differential time-to-market and time-to-value, also giving you the control of the Short-term ROI at all times
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
You buy this as an annual contract, priced by capacity tier. Each package sets a ceiling on the number of governed data assets, plus available IAM integrations and plugins. The six packages form a ladder: Start, then Productive (Small) and Productive (Large), then Scale (Small) and Scale (Large), then Grow. As your governed assets grow, you move to a package with a wider capacity limit. The managed SaaS service bundles platform, infrastructure, and operations into each tier. There is no per-user charge, so scaling users does not change your package.
Top-of-mind questions for buyers
What counts as one governed data asset for setting my package capacity?
A governed asset is any catalog object in a productive instance whose lifecycle status is Approved or Discontinued. Dataset Field objects and Relation objects do not count as separate governed assets. Each governed object is one unit against your package ceiling.
What happens when my governed assets exceed my package's capacity limit?
You move up to a package with a wider capacity ceiling while keeping your other conditions. Plugins and native integrations stay included at no extra license cost. This transition is a manual step you take as your use cases grow.
What does the managed SaaS package include, and what falls outside the license?
Each package bundles the platform, managed infrastructure, and service operations, plus a defined ceiling on IAM integrations and plugins. It includes all native modules, APIs, SDKs, a dedicated Customer Success Manager, 8x5 remote support, and training access. Your governed-asset count drives which package you need.
anjanadata.com+1
Helpful?
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Request a private offer to receive a custom quote.
How can we make this page better?
Tell us how we can improve this page, or report an issue with this product.
Give us feedbackReport a problem with this product or seller
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA).
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Anjana Data Platform is surrounded by a best-in-class, innovative and differential product adoption strategy adapted to the actual technological era in order to cover our customers needs and requirements.
We are committed to our customers success so we help them in reducing time-to-value in the adoption of Anjana Data while offering several alternatives for the technical deployment.
All licenses include full access to the Customers Portal where all the documentation is up to date, unlimited free vouchers for the Official Certification and standard Remote Support through Ticketing Tool (https://support.portal.anjanadata.com/).
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.
End-to-end technical processes automation through metadata-centric management focusing on turning data into a strategic asset
Technology-Agnostic Architecture
Modular, services-oriented, interoperable API-first architecture that operates independently of storage and processing technologies
Hybrid Ecosystem Support
Support for hybrid ecosystems covering legacy technologies, Big Data, multicloud environments, and Data Space ecosystems
Adaptive Governance Framework
User-defined Adaptive Governance approach enabling comprehensive governance strategy across all types of data assets, AI, information, and knowledge
Horizontal Scalability
Big Data native architecture with unlimited horizontal scalability built on open-source technologies
Data Integration and Connectivity
Integration across multiple database technologies, cloud services, applications, data warehouses, and SaaS services with machine-learning approach for enterprise data curation
Visual Data Workflow Design
Modern, intuitive dataflow visual designer for architecting data intelligence solutions across disparate data sources, live feeds, and event data
Low-Code Development Framework
Complete data-driven web application development with full-stack integration capabilities using low-code approach
Access Control and Governance
Fine-grained access control on resources including data, methods, and results with full audit trails and real-time alerts for centralized operations management
Composable Architecture
Modular architecture enabling abstraction and integration of any software or analytical approach for flexible enterprise data operations
Multi-Dimensional Data Intelligence
Multi-dimensional knowledge graph for contextual insights about company data and AI models across hybrid multicloud and SaaS environments
Data Classification and Discovery
Out-of-the-box classifiers for structured and unstructured systems capable of identifying hundreds of sensitive data elements across petabytes of data
Data Security Posture Management
Built-in Data Security Posture Management (DSPM) and Data Security Platform (DSP) functionality for securing sensitive data in hybrid multicloud and SaaS environments
Broad System Connectivity
Support for hundreds of built-in connectors enabling integration with public and private clouds, data lakes, warehouses, SaaS applications, and data streaming systems
Automated Privacy Operations
Privacy management technology with built-in regulatory context to automate privacy operations using data intelligence
Integration with security systems works well but understanding features needs improvement
Reviewed on Jun 18, 2025
Review from a verified AWS customer
What is our primary use case?
Our main use cases for the Anjana Data Platform are focused on security company operations over Cloud, providing protection for customers, and testing capabilities.
I need to check the integration of the Anjana Data Platform with our product and verify its functionality, which is the primary purpose for using the product.
What is most valuable?
The Anjana Data Platform integrates effectively with other products.
The Anjana Data Platform is very understandable, with excellent documentation and APIs, allowing us to work efficiently.
What needs improvement?
Since I'm not using the Anjana Data Platform as a product, there is no room for improvement that I can suggest.
For how long have I used the solution?
I have been using the Anjana Data Platform for about six years.
What other advice do I have?
I don't use the features of the Anjana Data Platform; I just need to ensure they are working with our products.
The products I need to verify compatibility with include EKS cluster, ECS cluster, EC2 VMs, and Lambdas.
I don't utilize the Anjana Data Platform's metadata management feature, as I don't use it in the product itself.
We are using S3 for the Anjana Data Platform.
We are always improving efficiency among our team.
The Anjana Data Platform has not necessarily helped us improve more.
I cannot provide specific feedback about features for ensuring compliance and operational efficiency as I'm not using the Anjana Data Platform in this way.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?