Big Data Platform for Data Driven Enterprise

Enabling Real Time Integration Platform with Data Governance and Data Quality Best Practices, Big Data and Meta Management Solutions.

ElixirData - Real-Time Big Data Integration Platform

Elixir Data is a Modern Big Data Integration Platform that enables secure Data Pipeline With Data Integrity and Data Management.

Elixir Data provides you the freedom to work in desired Data Stack and Programming Language as it integrates well with NoSQL & Big Data Ecosystem, traditional databases and business tools.

Elixir Data provides Public, Private or Hybrid mode of Code Deployment. Choose the cloud platform that suits your enterprise requirements.

Full Stack Big Data Integration Platform

Elixir Data provides highly customisable solution for Enterprises. ElixirData provides Flexibility, Security, and Stability for an Enterprise application and Big Data Infrastructure to deploy on-premises and Public Cloud with cognitive insights using Machine Learning and Artificial Intelligence.

What we do in Real-Time Big Data Integration

  • Modern Data Integration Platform for Big Data and Fast Data
    Modern Data Integration Platform for Big Data and Fast Data

    Leaner and flexible by providing fast release cycles with the help of Continuous Delivery. Deploy from SCM to Production within minutes with fully automated build pipeline.

  • Full Stack Visibility, Monitoring & Alerting for Big Data Pipeline
    Full Stack Visibility, Monitoring & Alerting for Big Data Pipeline

    Integration with multiple cloud platforms at one place by providing abstraction layer between Multi Cloud platform APIs.

  • Cluster Level & Individual Node wise utilization & Monitoring
    Cluster Level, Individual Node wise utilization and Monitoring

    Get Complete Analysis of Usage, Logs and Application Processes.

  • Enterprises Ready & Supports multi-tenant
    Enterprises Ready & Supports multi-tenant

    Data is exploding from in all directions, creating multiple channels of real-time and high velocity streams. Elixir data meets the changing requirements of paradigm shift from the traditional ETL model to modern data integration.

  • Deploy on Amazon RedShift, Google BigQuery, Public Cloud & On-Premises
    Deploy on Amazon RedShift, Google BigQuery, Public Cloud & On-Premises

    DevOps Platforms provides AI Based Monitoring with Anomaly Detection, Log Analytics, and Log Mining for the application and enables for Time Series Analysis based Anomaly Detection with Machine Learning and Deep Learning.

ElixirData Multi-Cloud Support and Solutions

AWS Cloud Solutions

Amazon Web Services (AWS) offers reliable and scalable Cloud Computing Services.

Solutions for
Google Cloud Solutions

Google Cloud Platform (GCP) lets you build and host applications and websites on Google Cloud Infrastructure.

Solutions for
Microsoft Azure Solutions

Microsoft Azure offers enterprise grade cloud computing platform for building, deploying, managing applications.

Solutions for
Container Solutions - DevOps & Kubernetes

Deploy, Manage and Maintain Private & Hybrid Clouds across any Infrastructure using OpenStack & Kubernetes

Solution for Container &
Private Cloud

Proof of Concept And Product Demo

  • Data Integration means combining information from various sources into something useful. Developing an integration strategy - both the technical and business aspects is crucial to ensuring your organization's data reaches its maximum potential. ElixirData can help your organization tackle your Data Integration Problem.Big Data Consulting Services assess your Different Structured & unstructured Data Sources and Big Data Infrastructure.

Data Driven Enterprises with DataOps

Talk to Experts for Continuous Delivery to Analytics, Machine Learning and Data Management Practices

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Disrupting Industries with Enterprise AI

Accelerate AI Adoption by Harnessing AI Power, Implementing AI Solutions and Leveraging AI Marketplace

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Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling AI

  • Advanced Monitoring
  • Infrastructure Automation
  • Optimizing GPU Usage
  • Deploying Deep Learning Models
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