Big Data Development services
We adopt a data-centric approach to help startups and enterprises drive smart, data-driven decisions, unlock business value and gain actionable insights.
Select the kind of services you need
The software development length and budget are two criteria that affect the choice of the engagement model.
Big data technologies
These are designed to handle the vast and complex datasets of the modern age. They are adept at processing high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision-making. Some cases of using this technology are:
- social media, patient data analysis;
- personalized content recommendations for streaming platforms;
- predictive analytics for customer behavior in eCommerce; credit risks evaluation;
- machine learning in autonomous vehicles and targeted advertising;
- the Internet of Things for predictive maintenance in manufacturing;
- unusual transaction detection and network traffic analysis.
Traditional technologies
Traditional technologies are centered on the processing and analysis of structured data, such as tabular datasets found in finance, customer relationship management, resource planning, and accounting. Businesses use structured data in their daily operations to inform strategic and operational decisions. Businesses deal with this technology in:
- daily banking transactions;
- data reporting and BI;
- ERP data management;
- CRM data management;
- budgeting and accounting;
- inventory and order management.
Big data services we offer
Data engineering
Big data analytics
Business intelligence
Multi-system data integration
Big data visualization
Predictive modelling
Technologies we work with
We can help you to
Make complex things simply
Deliver a customer-first service
Manage risks more effectively
Make better business decisions based on data and analytics
Enhance organisational performance
Provide data security
What it takes to build a data-powered app
What makes us different
Technology expertise
We have experience working on different types of complex Big Data projects
Quality control
Our Senior Developers and CTO always participate in Code Review process regardless the project size to ensure code quality.
Full transparency
We use Jira and Confluence as the main project management systems, providing our clients with possibility to track the development online in real time 24/7 without any hidden work and payments.
Agile approach
We follow best PM practices & processes like Agile methodology using Scrum and Kanban.
Trusted
Based on the most trusted review platforms:
5.00/5 Goodfirms.co
4.8/5 Clutch.co
Benefits of choosing SumatoSoft as the big data application development company
Build on
Proven workflows;
Dedicated QA specialists
Lessons learnt after 36000 hours of custom software development
Openness to share knowledge and experience with your teams
Go faster with
Agile methodology
100% transparency
Dedicated Technical
PO / PM / BA
Stay in control
Clear and detailed estimates
Sprint / monthly reports,
custom reports
Regular communications: calls, emails, chats, personal meetings
Our recent works
Rewards & Recognitions
Let’s start
If you have any questions, email us info@sumatosoft.com

Frequently asked questions
What are the services of Big Data?
Big Data services include data storage, processing, analytics, visualization, and consulting to help businesses gain insights from large datasets.
What are the 3 types of Big Data?
The 3 types of Big Data are structured, semi-structured, and unstructured, based on the organization and formatting of the data.
What is an example of Big Data as a Service?
An example is Hadoop-as-a-Service, which offers cloud-based Hadoop clusters for distributed data processing and storage.
What are examples of Big Data sources?
Examples include social media, IoT devices, weblogs, customer transactions, and sensor data, which generate large volumes of data in various formats.