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Big Data Solutions by Asteriosoft

Asteriosoft delivers Big Data solutions that enable businesses to collect, process, and analyze vast amounts of information with speed, accuracy, and scalability. We design modern data platforms that integrate data from multiple sources, transforming complex datasets into meaningful insights that support informed decision-making. Whether you need real-time analytics, business intelligence, or large-scale data processing, our solutions are built to grow with your business.

Our team develops end-to-end Big Data ecosystems using distributed computing, cloud-native architectures, and advanced data engineering practices. We build reliable data pipelines, scalable storage solutions, and high-performance analytics platforms that handle both structured and unstructured data. By leveraging modern technologies, we help organizations improve operational efficiency, identify trends, automate reporting, and create personalized customer experiences.

At Asteriosoft, we tailor every Big Data solution to your unique business goals and technical environment. From data strategy and architecture design to implementation, optimization, and ongoing support, we ensure your platform remains secure, reliable, and future-ready. Our focus is on delivering scalable solutions that transform data into a strategic asset, empowering your organization to innovate faster and stay ahead in a data-driven world.

Who Needs Big Data Solutions?

Big Data solutions are essential for organizations that generate, collect, or process large volumes of information and want to turn that data into measurable business value.
Cloud Data Management Platforms

  • E-commerce & Retail

    Analyze customer behavior, optimize inventory, personalize recommendations, and forecast demand.

  • Financial Services & FinTech

    Detect fraud, manage risk, process transactions in real time, and gain deeper business insights.

  • Marketing & Advertising

    Measure campaign performance, segment audiences, and optimize customer acquisition strategies.

  • Logistics & Transportation

    Optimize routes, monitor fleets, predict demand, and improve supply chain efficiency.
Cloud Data Management Platforms
Solutions We Develop

  • Big Data Analytics and ETL

    Our company develops custom ETL software tailored to your specific data integration needs, optimizing the extraction, transformation, and loading processes for better performance and accuracy. We build scalable solutions that streamline data workflows and drive actionable insights.
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  • Big Data Cloud Solutions

    Cloud solution service offers seamless migration, management, and optimization of your cloud infrastructure to ensure scalability and efficiency. We provide tailored solutions that align with your business goals, enhancing performance while reducing operational costs.

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  • Big Data Aerospike Solutions

    We provide innovative solutions based on Aerospike, a high-performance, real-time data platform designed for mission-critical applications. Our expertise ensures you leverage Aerospike's speed, scalability, and reliability to optimize data management and drive business growth.

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How We Build Big Data Solutions


  • Discovery & Data Strategy

    We begin by understanding your business goals, existing data sources, and technical environment. Our team identifies key challenges, defines data requirements, and creates a strategy that aligns your Big Data platform with your business objectives.
    01

  • Architecture & Platform Design

    We design a scalable, secure, and high-performance architecture tailored to your needs. This includes selecting the right technologies, defining data pipelines, storage solutions, processing frameworks, and cloud or on-premise infrastructure.
    02

  • Data Integration & Development

    Our engineers build robust data pipelines that collect, clean, transform, and consolidate data from multiple sources. We develop scalable processing systems, analytics platforms, APIs, and integrations that ensure reliable and efficient data flow.
    03

  • Testing & Optimization

    Before deployment, we thoroughly test the platform for performance, scalability, reliability, and security. We optimize processing speeds, ensure data integrity, implement access controls, and prepare the solution to handle growing workloads.
    04

  • Deployment & Continuous Improvement

    After launch, we monitor system performance, optimize infrastructure, and provide ongoing support and maintenance. As your business grows, we continuously enhance your Big Data solution with new features and scalable capabilities to meet evolving business needs.
    05

Big Data Solutions Portfolio

programmatic advertising ssp

Advanced Pipeline Solution
for Leading US EdTech Company

For a leading US-based EdTech company, we developed a advanced pipeline solution using PostgreSQL, Apache Kafka, KSQL, and Snowflake. The project encompassed high-level architecture design, infrastructure setup, hands-on deployment and configuration, followed by Level 3 support escalation.
  • Accelerated data processing and analytics, enabling faster access to accurate business insights.
  • Improved platform scalability and reliability, supporting growing data volumes and increasing user demand.
  • Reduced operational overhead through automated data pipelines and a resilient architecture, ensuring stable, high-performance operations.

Big Data and ETL Solution
for a Used Car Dealer

Asteriosoft developed a Big Data analytics platform for a used car dealership, consolidating data from CRM, ERP, inventory systems, and external automotive marketplaces into a centralized, scalable analytics environment. The solution enabled real-time analytics and data-driven decision-making.
  • 65% faster data processing and reporting through automated ETL pipelines.
  • Smarter pricing and inventory management with predictive models for vehicle pricing and liquidity forecasting.
  • Higher operational efficiency and profitability by delivering real-time analytics for faster, data-driven decisions.
Programmatic ad solutuon
Programmatic solution by Asteriosoft

Big Data Analytics Solution
for an AdTech Platform

We developed a Big Data analytics solution for a leading AdTech platform capable of collecting, storing, and processing massive volumes of user data in near real time. The platform leveraged machine learning to predict user behavior and optimize ad delivery to reduce Cost Per Install (CPI), while ensuring full COPPA and GDPR compliance.
  • Processed over 2 billion user profiles with a scalable analytics platform.
  • Increased advertising efficiency through ML models that predicted user behavior and optimized ROAS.
  • Delivered secure, privacy-compliant analytics by meeting COPPA and GDPR requirements.
Our Stack

Usually we use this technical stack for our solutions, but we are ready to consider you demands.

  • Big Data & Hight Load
    Depending on your project we will pick from a variety of modern databases: MySQL, Oracle, PostgreSQL, Microsoft SQL Server, MongoDB, Redis, Elasticsearch, Cassandra, MariaDB, ClickHouse, Aerospike. We are an official Integration Partner of Aerospike and have successfully implemented its technology across multiple projects.
  • Cloud solutions
    We have extensive experience working with leading cloud platforms, including AWS, DigitalOcean, Hetzner, and more.
  • Back end
    Java, Kotlin, Spring Framework, Go, Python, Hibernate, Aerospike, Mongo DB, Redis, Rabbit MQ, HAProxy, Nginx
  • Front end
    Javascript, Typescript, JQuery, React JS, React Native
Оur clients
Q&A About Our Big Data Solutions

  • How long does it take to develop enterprise Big Data solutions?

    - The development timeline for an enterprise Big Data solution depends on the project's complexity, data volume, integration requirements, and business objectives. A basic data platform with core data pipelines and analytics can typically be delivered in 2–4 months, while more advanced enterprise solutions involving multiple data sources, real-time processing, AI integration, and custom analytics usually require 6–12 months or more.

  • What is the difference between Big Data analytics solutions and ETL?

    - ETL (Extract, Transform, Load) is the process of collecting data from multiple sources, cleaning and transforming it, and loading it into a central repository for further use. Big Data analytics goes a step further by processing and analyzing large volumes of data to uncover patterns, generate insights, and support data-driven decision-making. In most enterprise solutions, ETL provides the foundation by preparing data, while Big Data analytics transforms that data into actionable business intelligence.

  • Can you combine data from internal and external sources?

    - Yes. Asteriosoft can integrate data from both internal systems, such as CRMs, ERPs, databases, and business applications, and external sources, including web pages, cloud services, and public datasets. By consolidating data into a unified platform, we enable real-time analytics and comprehensive reporting, helping businesses make informed decisions.

  • ow quickly can your Big Data solutions process large volumes of data?

    - Our Big Data solutions are designed to deliver near real-time data processing by leveraging distributed computing frameworks, stream processing technologies, and cloud-native architectures. Using the fastest database solutions and scalable cloud infrastructure, we enable organizations to process millions of events with minimal latency. This allows businesses to access up-to-date insights and make faster decisions.

See also
Business Intelligence Consulting​
Data integration ETL
Data Management Platform