Sold by: Anjana DataÂ
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THE ULTIMATE PLATFORM FOR FULLY ADAPTIVE DATA & ANALYTICS GOVERNANCE
Featured in Gartner's Market Guide and Vendor Identification Tool for Data & Analytics Governance Platforms and Metadata Management Solutions, Anjana Data Platform is the most innovative Data & Analytics Governance Platform to leverage user-defined Adaptive Governance to succeed in digital business regardless functional and technical architecture
Overview
Anjana Data proposes a new approach for D&A Governance implementation through its differential solution based on added-value characteristics fostering collaboration and data democratization:
- From Passive and Reactive To Proactive and Preventive
- Data & Analytics Governance As An Enabler For Next-generation Data Ecosystems
- Technology-agnostic Features With Native Integrations
- Natively integrated with Cloud Services for Hybrid Cloud-first Data Ecosystem
UNLOCKING THE LOCK-IN IN DATA BY OPERATIONALIZING A TECHNOLOGY-AGNOSTIC CUSTOM-MADE ADAPTIVE DATA & ANALYTICS GOVERNANCE FRAMEWORK FROM A TECHNOLOGY-AGNOSTIC PERSPECTIVE
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
Details
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Pricing
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Dimension | Description | Cost/12 months |
|---|---|---|
Start | Start package | $34,650.00 |
Productive (S) | Productive (Small) pakage | $57,750.00 |
Scale (S) | Scale (Small) package | $86,625.00 |
Scale (L) | Scale (Large) package | $98,175.00 |
Grow | Grow package | $127,050.00 |
Productive (L) | Productive (Large) package | $69,300.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
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Resources
Vendor resources
Support
Vendor support
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.
AWS infrastructure support
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Updated weekly
By Anjana Data
By Composable Analytics, Inc.
By Securiti
Top
25
In Data Catalogs
Top
100
In ML Solutions
Top
25
In Data Security and Governance, Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Metadata Management
Provides a metadata-centric management approach focusing on end-to-end technical process automation
Architecture Design
Modular, services-oriented, interoperable architecture with unlimited horizontal scalability using open-source technologies
Governance Framework
Supports proactive and preventive data governance with technology-agnostic features and native cloud service integrations
Integration Capabilities
Supports native integrations across different technical and functional architectures with API-first approach
Scalability Model
Designed with Big Data native architecture enabling flexible and configurable governance across diverse data ecosystems
Data Connectivity
Supports integration across multiple database technologies, cloud services, applications, data warehouses, and SaaS services using machine learning-driven data curation approach
Visual Development Environment
Provides an intuitive dataflow visual designer for architecting data intelligence solutions with composable architecture
Access Control Mechanism
Implements robust, fine-grained access control on data, methods, and results with comprehensive audit trails and real-time alerting capabilities
Data Engineering Services
Includes built-in services to facilitate data engineering tasks and enable end-to-end data transformation and analysis
Application Development Framework
Supports full-stack, low-code web application development with comprehensive integration capabilities
Data Discovery and Classification
Supports hundreds of built-in connectors for public and private clouds, data lakes, warehouses, SaaS applications, and data streaming systems with out-of-the-box classifiers for structured and unstructured data systems
Multi-Dimensional Knowledge Graph
Provides contextual insights about data and AI models using a multi-dimensional knowledge graph for comprehensive data intelligence
AI Governance Framework
Establishes controls for safe adoption of AI technologies, including generative AI security and governance mechanisms
Data Security Posture Management
Implements built-in Data Security Posture Management (DSPM) and Data Security Platform (DSP) for securing sensitive data across hybrid multicloud and SaaS environments
Privacy Automation
Automates privacy operations using data intelligence with built-in regulatory context and comprehensive privacy management technology
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
No security profile
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Standard contract
No
Customer reviews
Elichy Barak
Integration with security systems works well but understanding features needs improvement
Reviewed on Jun 18, 2025
Review from a verified AWS customer
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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?
Amazon Web Services (AWS)