Database Development Services

uild secure databases for storing, retrieving, and using multimedia content.

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 industry.

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.

Key Facts About Outsourcing Database Development

The Main Reasons for Outsourcing

Why data science is so important

Different types of analytics solutions we deliver

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.

Here are 5 benefits of outsourcing:

Access Specialized Talent: If you lack key specializations in-house, you can often find these skills when you expand your search. Tap into an outsourcing partner’s knowledge of the latest trends and technologies, from cloud services to data processing frameworks.
Increase Efficiency: Expedite your data development processes. Instead of spending time recruiting and onboarding in-house professionals, partner with already-vetted developers who can get to work immediately.
Improve Data Security: Many outsourcing companies use rigorous assessment processes to recruit the highest level of talent. These experts in database development stay current with security best practices. They also have established protocols in place to patch vulnerabilities and protect sensitive data.
Enjoy Flexibility: Whether you have a custom database development project or need a long-term team to handle your development needs, your outsourcing partner will accommodate your demands.
Scale Easily: With an outsourcing provider, you can scale your solution as needed, thanks to your partner’s ability to bring you talent on demand.

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.

Part 1: Plan Your Database Strategy

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

Part 2: Develop the Database Solution

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.

Part 3: Implement QA Measures

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.

Why Choose Techbly for Data Science Services

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

Our process. Simple, seamless, streamlined.

STEP 1

Discuss Your Requirements

We'll discuss your database design and architecture. We'll also determine how your development needs align with your business goals. From there, we will craft a plan for building a solution that meets these objectives.

STEP 2

Create a Plan and Assemble a Team.

We finalize a development and design plan, including choosing the right team members and technologies. We'll establish procedures and documentation guidelines to help facilitate fast onboarding and smooth collaboration with your in-house team.

STEP 3

Get to Work

Our database developers and tech professionals will start working on your solution. We'll maintain open communication and set up checkpoints to keep you apprised of progress. We can always scale your engagement as needed.

Frequently Asked Questions (FAQ)

What is database application development?

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.

What are the different types of databases?

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.

What's the difference between a data warehouse and a database?

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.

Contact