Database Development Services

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Database Development Services We Provide

Databases are the backbone of many applications and systems. They're essential for data management, analytics, and operational efficiency. We offer a diverse array of database development services across a multitude of technologies.

Custom Database Development

We’ve helped clients across 100+ industry sectors. In many cases, out-of-the-box solutions don’t meet their needs. That’s when bespoke design is necessary.

Custom database development solutions are ideal for businesses that find off-the-shelf software too limited. Our SQL and database experts have extensive expertise in crafting and adapting unique software and will work with you to meet your requirements.

Database Design and Architecture

Database architecture plays an important role in data access speed and security. With modeling tools and techniques, we’ll design an organized database with a logical format and structure.

When devising the architecture and design, we focus on performance, security, and data integrity. We also design your database to comply with regulations in your industr

Distributed Database Solutions

Global enterprises need a database system that’s dependable and accessible from locations all over the world. Distributed databases are a reliable solution.

These databases are seamlessly interconnected across a network spanning multiple machines. They maintain continuous accessibility and offer robust data backup capabilities in the event of an individual component failure. We build geographically distributed databases that remain functional and performant in various environments and scenarios.

Database Integration

Data consistency. Improved business intelligence. Real-time access. Database integration combines data from different sources into a single dataset, allowing businesses to streamline operations.

Our data integration process involves data mapping and cleaning, ETL procedures, and testing to facilitate better data management and operational efficiency.

Database Migration

Today’s businesses grapple with enormous amounts of data of different sizes and formats. Migrations are often necessary, particularly when you’re changing systems, vendors, formats, or platforms. 

With specialized tools like AWS DMS or Azure Database Migration Service, we conduct large-scale migrations. This can be risky, so we always perform proper backups, planning, and testing to safeguard your data, no matter the complexity or scale of your migration. That way, we can modernize and improve the performance of your systems.

Data Warehouse Solutions

If you need to streamline your analysis and reporting across disparate data sources within the organization, data warehouses are the solution. Essentially a vast data library, a data warehouse houses and centralizes data that all teams can access.

We use various ETL, database management, data modeling, compliance, and business intelligence tools to construct scalable data warehouse software solutions that offer clean, retrievable data.

Cloud Database Development

Cloud databases are more flexible and often more cost-effective than traditional, on-premise databases. Hosted on platforms like AWS, Azure, or GCP, they typically take less time to deploy as well.

We employ standard and cloud-specific practices and tools for migration, security, and optimization to build DBaaS or self-hosted solutions. 

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Database Development Services We Provide

Key Facts About Outsourcing Database Development

Best Practices for Database Development

Why Choose Voltera for Database Development

Our process. Simple, seamless, streamlined.

Frequently Asked Questions (FAQ)

Key Facts About Outsourcing Database Development

Businesses don’t always have the time or resources to build secure, high-performance databases. Outsourcing to a custom database development company means accessing top talent and accelerating delivery timelines. 

Gathering data is critical for gaining insights and making informed decisions. As part of a business intelligence strategy, databases are the backbone of data storage and management—and you need one that’s well-designed and secure.

Relational Databases: Databases with a structured schema to organize data into tables with rows and columns. 

NoSQL Databases: Databases that accommodate unstructured or semi-structured data that can handle larger volumes of data. They are frequently used in web apps and big data solutions.

Cloud Databases: Scalable solutions hosted on cloud platforms, such as Amazon RDS and Azure SQL Database.

Distributed Databases: Designed to work across multiple servers or nodes, providing scalability and fault tolerance.

In-memory Databases: Stored entirely in RAM, providing ultra-fast data access. These databases have limited storage capacity.

Time-series Databases: Optimized to handle time-stamped data, including logs and sensor readings. 

NewSQL Databases: Blend the benefits of relational databases with the scalability of NoSQL databases. These databases are ideal for high-performance and distributed environments.

Multimodal Databases: Support multiple data models in a single database, such as a combination of structured and unstructured data.

Object-oriented Databases: Designed to store and retrieve object-oriented data. 

Best Practices for Database Development

By following best practices in database development, you can build secure, well-optimized database systems. We adhere to the following processes to maintain data integrity and create a performant solution.

These are the principles we follow to create a strategy for building a database tailored to your requirements.

Gather Requirements

Have a clear understanding of the project’s demands to ensure the database meets business requirements related to data storage, data access patterns, and scalability.

Design the Data Model

We use normalization techniques to confirm data integrity and eliminate redundancies, creating a structured data model for the database.

Choose the Right Database Type

Consider your data characteristics and the goals of your solution to choose among types like NoSQL and relational.

Development is an iterative and ongoing process. Here’s how we build your database.

Enforce Data Validation Rules

Using check, foreign key, and unique constraints, we uphold data validation rules to maintain data accuracy.

Optimize Queries

We create efficient SQL queries with indexes and continue to optimize query performance with database profiling tools.

Use Consistent Naming Conventions

Consistent naming conventions for tables, columns, objects, and indexes improve clarity and database maintenance.

Document Comprehensively

We document database design, procedures, and relationships to streamline maintenance and future development efforts.

Design with Scalability in Mind

Databases nearly always need to be scaled to accommodate new datasets. When building the system, it’s important to keep both horizontal and vertical scaling in mind.

Use Version Control

We track changes and collaborate more effectively by using version control systems, which maintain a history of alterations.

Monitor Database Performance

We continue to monitor performance using dashboards and other tools. We resolve any performance issues through indexing and query optimization.

We repeatedly test and evaluate your databases to ensure that we deliver only the highest-quality solutions.

Test Exhaustively

We create a testing strategy encompassing unit, performance, integration, and security tests. 

Implement a Backup and Recovery Plan

Our disaster recovery plan includes backup and recovery procedures, failover mechanisms, and high-availability configurations to allow you to restore your data and enable business continuity.

Provide Security Measures

Your database management strategy includes the implementation of strong security measures, including user authentication and data encryption.

Use Data Archiving and Purging

We prevent databases from becoming unwieldy with data archiving and purging strategies. 

100s of companies worldwide trust us for their Database Development services.

Why Choose Voltera for Database Development

Customized Databases

Many businesses need custom database solutions. Perhaps you want a CRM system with specific data reporting features or a research database that accommodates nontraditional data formats. With our custom database development services, we tailor the development strategy to you. We choose the team members, technologies, and methodologies on a case-by-case basis to build a unique solution.

Top 1% of Database Engineers

We rigorously assess all candidates and hire only the top 1% of tech talent. Our database engineers are experts in building robust solutions. They not only have strong technical expertise but also important soft skills like communication, collaboration, problem-solving, and critical thinking. 

Flexible Engagement Models

Choose among our staff augmentation, dedicated teams, and end-to-end software outsourcing models. Whether you need one database engineer or an entire team, we can provide the expertise you need.

Our process. Simple, seamless, streamlined.

Step 1
Discuss your requirements.

We’ll discuss your business goals, budget, timeline, and need for quality assurance services. During this initial call, we’ll determine if you need a dedicated software development team or one of our other engagement models.

 

Step 2
Create a plan and assemble a team.

We’ll craft a plan outlining our approach to QA testing, based on your requirements and engagement model. We’ll also assemble your team of QA specialists.

 

Step 3
Get to work.

Our QA engineers and testers will get to work. Throughout the software testing process, we will track metrics and keep you informed about our progress to ensure you stay up to date.

Frequently Asked Questions (FAQ)

Database application development is the process of designing and developing database systems and software. Databases store and present information that users can access and manipulate for different purposes.

The main types of databases include relational, NoSQL, cloud, distributed, in-memory, time-series, newSQL, multimodal, and object-oriented databases. Each of these types is suitable for different forms of data or takes a different approach to storage and retrieval.

Data warehouses and databases are both important for data storage but differ in purpose and presentation. A database maintains and stores data for in-house purposes related to daily operations. A data warehouse gathers together data from different sources that is primarily used to inform business intelligence activities and decision-making. 

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