DataArt Apollo: Large-Scale Data Migration to AWS Made Simple

Moving large datasets across cloud environments is complex, time-consuming, and often unreliable. Enterprises struggle with manual configurations, infrastructure provisioning, and the operational overhead of managing data at scale. Traditional methods of enterprise data migration require specialized knowledge, continuous monitoring, and extensive planning—introducing delays and risks. As businesses increasingly adopt multi-cloud and hybrid storage strategies, the need for a streamlined, automated solution has never been greater.

DataArt Apollo revolutionizes enterprise data migration by automating key phases, from planning to orchestration and validation. Built on AWS DataSync, Apollo enhances performance with automated error handling, adaptive task management, and intelligent data placement. Whether transferring petabytes of historical data, optimizing cloud storage costs, or enabling real-time multi-cloud operations, Apollo ensures seamless, secure, and cost-effective migrations—reducing complexity while aligning with business objectives.

Apollo & AWS BANNER

Data Migrations Are Complex and Time-Consuming

  • Moving massive datasets is operationally intensive, unreliable, and difficult to automate.
  • Migrating data across cloud providers and on-premises storage requires extensive planning.
  • Manual configuration, task management, and data validation create a heavy operational burden.
  • Enterprises struggle with managing multi-cloud and hybrid environments.

DataArt Apollo & AWS: Automate & Streamline Data Migrations at Any Scale

  • DataArt Apollo simplifies large-scale data migrations by automating migration planning, orchestration, and validation.
  • Works across NFS, SMB, object storage, EFS, and third-party cloud solutions.
  • Improves AWS DataSync enhancements with additional automation, task optimization, and error handling.
  • Provides full support for AWS cloud environments.
AWS Apollo Scheme

Why Choose DataArt Apollo?

  • Automated Metadata Discovery: Identifies and catalogues metadata for seamless migration planning.
  • Infrastructure Provisioning: Dynamically provisions required infrastructure components.
  • Task Generation & Orchestration: Automates migration scheduling and execution.
  • Adaptive Error Handling: Identifies corrupted objects and retries failed migrations.
  • Multi-Cloud & Hybrid Support: Works seamlessly across AWS, GCP, Azure, and on-premises data storage.

Use Cases

Seamless Data Migration to AWS

Automate large-scale data transfers to AWS with speed and reliability.

Disaster Recovery with Automated Replication

Ensure real-time cloud backups for fast recovery and business continuity.

Hybrid Cloud Workflow Enablement

Seamlessly move and sync data between on-premises and AWS.

Effortless Cloud-to-Cloud Transfers

Optimize multi-cloud data transfer across AWS, Google Cloud, and Azure.

Accelerate Machine Learning Data Preparation

Streamline dataset transfers for faster AI and ML model training.

Cost-Optimized Data Lifecycle Management

Automatically archive data into cost-effective AWS storage tiers.

Ensure Regulatory Compliance & Data Residency

Move and store data and maintain its integrity while meeting compliance and legal requirements.

Reliable File Distribution at Scale

Automate global file sharing for software updates and media.

Petabyte Scale Data Migration

30PB of Historical Tick Data Migrated to AWS for a Leading Global Market Data Provider

 

Challenge Solution Outcomes

A global market data provider acquired a leading data provider. Following the acquisition, 30 Petabytes of data needed to be migrated to AWS Cloud:

  • 30 PB of volume, thousands of datasets
  • Ultra-high-quality global market data in the exchange’s native format, stored in a packet capture (PCAP) file with nanosecond-precision hardware timestamps
  • Only online migration via internet is possible
  • No highly sensitive data in scope

As AWS Migration Competency Partner, DataArt provided Migration Assessment and Mobilization phases under AWS Migration Acceleration Program:

Assessment

  • Automated data migration scope assessment and classification
  • Automated dataset discovery
  • Recommended strategy: rehost using AWS DataSync with custom scripts and automation developed by DataArt
  • Migration cost estimate
  • Proposed migration architecture and migration plan

Mobilization

  • Implementation of a pilot migration covering at least 10% of datasets and data volume
  • Automated infrastructure configuration
  • Automated data quality validation
  • Migration reports covering cost and performance metrics

Optimized migration cost

  • Bandwidth and number of DataSync agents optimized to maximize performance achieved per infrastructure costs
  • Migration Acceleration Program (MAP) tools leveraged to further reduce cost of migration and accelerate execution

Migration Performance

  • Solution designed by DataArt allows to migrate millions of datafiles at 6Gbps
  • Migration of the entire data volume was enabled in less than four weeks

Ease of migration management

  • Migration workloads are separated in chunks with easy bandwidth throttling, migration scheduling and task filtering
  • Fully automated infrastructure provisioning
  • Automated error handling

DataArt Services

As an AWS Finance Competency Partner, DataArt brings deep industry expertise to help you with large scale data migration:

  • Apollo Demo: experience a personalized walkthrough of the platform.
  • Migration Assessment: evaluate if Apollo aligns with your data migration automation needs.
  • Implementation: from proof-of-concept to full scale deployment, we ensure a seamless Apollo rollout.

 

AWS Finance

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