Architecture and Integrations
Microservices-based Data Governance & AI platform, agnostic, interoperable and horizontally scalable on-premises, in the cloud and in multi-cloud environments. No vendor lock-in or black boxes: repositories accessible via REST APIs and direct access for observability, automation and extensibility.
Native Big Data and Cloud architecture
without vendor lock-in no black boxes
Designed to coexist and orchestrate complex ecosystems, Anjana Data integrates natively and extensively with leading technologies from cloud, data, and Dev/DataOps, including (among others) those you see in the customer's image:
This technological positioning is embodied in bidirectional integrations for metadata discovery, lineage, metadata/tag injection, active permission governance, controlled sampling and auditing, while maintaining a focus on open and extendable (without proprietary dependencies or opaque components).
Databases and data platforms
Cloud & platform ecosystem
Quality, safety and complementary governance
ITSM, development & collaboration
Functional architecture
One cross-cutting layer of government —independent of technical architecture—articulates the capabilities of catalogue, glossary, lineage, policies, workflows, and marketplace under a operating model by domains and roles. All functionality is accessible from web portals and APIs, with open internal repositories, a recommendation engine, and plugins to automate technical processes on data platforms.
Configuration of the governance model and extensible metamodel.
Business Glossary and Data Catalogue & AI metadata-centric.
Active governance (permissions, policies, dynamic auditing) and information marketplace (DSAs and Data Contracts).
Centralised metadata management and hybrid/extended lineage.
Technical architecture
Independent microservices and decoupled, with standardised communications and specialised storage per service. The design facilitates horizontal scalability, deployments VM o Kubernetes and operation in on-premises, IaaS/PaaS, or SaaS. The platform displays three layers of RESTful APIs (public, administrative, and configuration) documented (Swagger) and a SDK for extensions and proprietary agents.
Types of native integration
(end-to-end)
The platform integrates Corporate or cloud IAM (LDAP, Azure AD, AWS IAM, Google IAM, etc.), native catalogues of the hyperscalers, quality engines (e.g., Aqtiva.ai o open source), and reporting/observability tools, consolidating a Metadata Lake single for active and passive government.
Interoperability and plug-ins
Maintained by Anjana Data for integrations with third-party technologies (at no additional licence cost), aligned with our product philosophy and the specifications of each vendor.
To build new connectors/agents and expand coverage of use cases.
We prioritise functional depth and bidirectionality over massive lists of connectors with limited coverage.
Deployment and operation
Available at IaaS/PaaS or SaaS model, with licences pay-per-use based on governed assets and unlimited use of plugins and native integrations. We include non-productive environments No additional licence fees (in IaaS/PaaS), remote support, and access to customer portals and training.
Use cases enabled by architecture
Why this architecture? makes a difference
01
Real, multi-platform agnosticism
Manage your stack today and tomorrow.
02
No vendor dependency
Manage native catalogues from hyperscalers and data platforms without being tied to them.
03
Full observability
Open repositories and APIs, auditing, and multi-layered lineage.
04
Practical automation
Active governance that reduces operational times and risks.