Deep technology behind analytics
Agile data management, pre-built connectors, ML integration and flexible deployment.
Here are the tech features of RNA
The future proof DataOps platform built on top of Kafka to securely manage the end-to-end Data lifecycle
Connectors for every Data source
Use all the connectors available in the platform to manage integration
between Apache Kafka and other systems. Here’s a few of the most popular connectors
Stream processor agnostic
Implement, deploy and monitor your pipeline regardless of the underlying stream processor
Operationalize your ML models
Implement your model using the technology you prefer and put it in production with just a few clicks
Deploy wherever you want
Choose the deployment solution that suits you best
PaaS
Agility, efficiency, scalability
and security are the most important benefits PaaS offers
On-premises
Have more control over your
data and govern entirely
the environment
Private Cloud
Manage your applications from a central place, with no concern of being outside IT governance
Multi/Hybrid Cloud
Flexibility and scalability to achieve greater efficiencies and take advantage of the economies of scale
The latest DevOps tools
RNA has a microservices architecture: each micro-service is encapsulated in Docker containers and orchestrated by Kubernetes. This allows deployment automation, scalability and full management of containers
Monitor your resources with RNA built-in features
Check the metrics related to the Apache Kafka cluster.
Watch data flowing inside topics and verify configurations, consumers and lags.
Create custom alert for being updated on the state of your pipeline, connectors and models.
Multi-tenancy & Security
Each tenant will use different standards for authentication: OpenID Connect, OAuth 2.0, and SAML
Each user has their own set of permissions within a tenant
Built-in support to connect to existing LDAP or Active Directory servers
