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Build a data ecosystem tailored to your business needs
The quality of data management services and solutions can make or break any business. When organizing their data management, companies look for efficient systems that can ensure consistent quality, availability, and security of their records. To deliver such a system, you need to combine expertise in architecture design, data processing, cybersecurity, and other fields of development.
Collaborate with Apriorit experts to build an advanced solution that structures, controls, and protects data across all data storage instances and devices in your organization.
Leverage Apriorit’s experience in building, enhancing, and maintaining data management systems for organizations across various industries. Let us build you software that:
- Fits your organizational structure and needs
- Complies with industry requirements
- Scales along with your business
- Ensures a high level of data protection
Industry-recognized professionals
Trust the development of your software to a company skilled in data management and recognized by industry leaders.
Data management tasks we build solutions for
Benefit from custom software or features tailored to your business’s data management tasks and needs.
Service virtualization
Combining on-site and virtual environments to ensure the stability and availability of your data management system
Continuous data backup
Recording all changes to sensitive information to reliable storage to protect data from accidents and security threats
Storage governance
Enforcing consistent data storage policies and procedures to ensure data security, availability, and visibility
Data migration
Implementing fitting mechanisms to transfer data between instances without data loss, data gravity issues, or changes to application and storage logic
Data integration
Combining data from different types of real and virtual environments to establish one smoothly working data management system
Disaster recovery
Creating a secure remote location to protect business-critical data from disasters and improve business recovery time
Data discovery
Locating sensitive data across target infrastructure to enforce data protection and management policies in real time
Ensure data protection within your solution
Benefit from our cybersecurity expertise. Equip your data management software with a set of security features to establish reliable data protection.
Access management
Define who can access which data storage and which type of data within your system
Sandbox management
Configure virtual services and resources to ensure flawless data integration and prevent data leaks
Data encryption
Secure your data from prying eyes at rest, in transit, and in use
Data encapsulation
Create a secure sandbox to work with suspicious records without threats to the main data repository
Security alerts
Discover suspicious and harmful actions with data in real time
Secret management
Secure user credentials, encryption keys, certificates, and other confidential files
Zero-knowledge architecture
Build your system on a need-to-know basis, limiting data exposure and unauthorized access
Remote browsing isolation
Protect data on remote endpoints from web-based threats by isolating a user’s browser activity
Signature-based file classification
Identify the nature of files regardless of their extensions to detect potentially harmful files
Technologies and tools we work with
Programming languages
Databases
Cloud services
File system management
Process management
- Python
- R
- Java
- C++
- Swift
- C#
Need to ensure bulletproof security of your data?
Apriorit is ready to help you pick the best-fitting tech stack to deliver a highly protected data management system.
Our recent projects
Developing Software for a Drone Battery Charging and Data Management Unit
- Linux software and firmware development for a single-board computer
- Cloud-based infrastructure design and implementation
- Delivery of Android and iOS apps for end users
Key technologies: C++, Python, Swift
Supporting and Improving Legacy Data Management Software
- Legacy code refactoring and improvement
- Resolvement of escalated tickets from end users
- New update system design and implementation
Key technologies: Python, Golang, C, Docker, AWS, Azure, GCP
Developing a Custom Secrets Management Desktop Application for Secure Password Sharing and Storage
- Project requirements elicitation and competitor research
- MVP delivery
- Security audit of the MVP
Key technologies: React, MySQL, Node.JS
Why choose us
As a software development company with over 20 years of experience, we provide you with both unique development expertise and efficient project cooperation. Maximize your product’s chance for success with us by your side.
Niche expertise
Get a solid partner with over 20 years of experience in legacy system modernization, software reverse engineering, cybersecurity, and niche development.
Secure SDLC
Be confident at each step of your business journey with our time-proven security-first approach that has led hundreds of projects to success.
Wide pool of IT talents
Access 400+ seasoned software developers and experts, including QA specialists, business analysts, UI/UX designers, and project managers.
Full-fledged R&D team
Push the boundaries of your product with cutting-edge technology through our deep research and specialized services.
What our clients say about us
FAQ
Data management systems are vital for centralizing and organizing your business data. They automate tasks, reduce errors, and improve productivity, enabling better decision-making. Data management solutions also help organizations improve data security and ensure compliance with security standards and regulations.
Lack of flexible and customized data management services and systems can lead to multiple problems with business records, including data silos, storage of inconsistent information, overuse of storage and processing resources, and data leaks.- Data processing
- Data cleansing
- Database creation and management
- Data governance
- Data protection
- Integrations with cloud and on-premise storage
- Analytics and reporting
- Chosen technologies
- Number of required integrations
- QA efforts
- Applicable compliance requirements
- The chosen cooperation model
Tech insights
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