Akira AI For Data Analyst

Elixir Data Enabling Secure Data Pipeline with Data Integrity & Data Management

Automate DevOps for ML

Agent Based Architecture

Keeps your data safe on premises. Execution resides closer to the data.

Accelerate Your Team

Dataflows, Not Technologies

Hundreds of integrations. Let's you focus on data flows.

Optimize Hardware

Modular & Open Platform

Customize to your needs. Extend / plug-in what you love.

Full Stack Data Integration Platform

Real-Time Event Driven, Application Integration, Hybrid Cloud, Any Data Any Source, Integrated with Business & Technical Flows

VELOCITY

Any Data,
Any Source

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Connected Things

Hundreds of millions of connected devices, appliances and sensors are generating high velocity data which, amount is increasing at an exponential rate.

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Visibility & Security

Real-Time data pipeline has to be monitored and secured to ensure integrity. Traditional data platforms have failed to serve the requirements of modern applications.

TAKE CONTROL

Modern Data
Integration Platform

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Non-Traditional Data Sources

You are interacting with non-traditional data storage platforms - NoSQL, Hadoop, and other distributed file systems - S3, Gluster, etc. The data includes semi-structured or unstructured types - JSON, Avro, etc.

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Really Big Data

The need to process "really big data" - your data volume is measured in multiple Terabytes or greater. And big data needs more ETL. Data Analytics companies have to take lot of pain in ETL before building their solution.

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Flexibility To Adapt

Dataflows for creating and changing pipeline across tools & data stores increases operator productivity.

Powerful Solutions & Features of Elixir Data Modern Data Integration Platform

Akira AI Platform enables you to Automate the infrastructure to train and deploy Deep Learning Models on Public Cloud as well as On-Premises.

  • Deploy any model in minutes
  • Advanced Monitoring
  • Autoscale to match any demand
  • Empower your data scientists
  • Optimized GPU usage

Data Persistence on Elixir Data Platform with Apache Ignite

Build on-premises secure data warehouse with Hadoop powered by Elixir Data.

Data platform with Apache Spark

Processing is deployed where the data lies, improving the speed, security and performance of the pipeline.

Real-time data processing solution

On-premises deployment provides you the power and flexibility of designing your secure pipeline

ETL for Fast and Big Data

Data is exploding from in all directions, creating multiple channels of real-time and high velocity streams.

Modern Data Integration

Elixir data is modern data integration platform, purpose-built for big data, hybrid data systems, and the cloud.

Secure Data Pipeline

Secure data pipeline is built on agent based architecture keeping your data securely.

All in One Place

Elixir Data Technologies Integrations

Elixir provides freedom to work in desired data stack and programming language. Integrates well with NoSQL & Big Data ecosystem, traditional databases and business tools.

  • 10+

    Data Sources & Connectors
  • 10+

    Programming Languages
  • 6+

    Popular Framework
  • 6+

    Intelligence & Analysis Tools

Deploy As You Need

Elixir Data provides public, private or hybrid mode of deployment. Choose the cloud platform that suits your enterprise requirements.

Private Cloud

Private Cloud

Public Cloud

Public Cloud

Private Cloud

Hybrid Cloud

Blog & Use Cases on Data Engineering

Read our Thought Leadership Driven content on Best Practices, Implementation and Use Cases of AI For Engineering.

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  • Use Cases arrow_right_alt

Blog
Blog

Influential and Informative Deep Learning and AI Blogs

Here Jenkins shall be used in order to create a continuous integration pipeline for NodeJs applications.

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Documentation
Blog

Build and Deploy Continuous Delivery Pipeline with Jenkins

Automate analytical model building, using algorithms that iteratively learn from your data.

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Use Cases
Use Cases

Provide Envied Customer Engagement

Deploy applications that process massive amounts of events in real time.

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Documentation
Use Cases

Deliver Better Analytics Recommendations

Automate analytical model building, using algorithms that iteratively learn from your data.

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