We make sure our data models are really good and work well. We also fix queries that take a time to run and make our production databases super fast at finding things. Our engineers are really good at working with SQL systems and they also know a lot about unstructured NoSQL configurations, memory caching layers and making sure databases are always available. They know how to make databases work well and be available all the time which's very important, for our production databases and our relational SQL systems and unstructured NoSQL configurations.

When websites or mobile apps get slow when lots of people are using them the problem is usually missing indexes on database columns or bad SQL queries that take long to run. Our database experts create organized database structures improve how queries run handle master-slave replication and set up ways to split data, for reading and writing.
Our engineers possess extensive mastery across open-source relational engines like PostgreSQL and MySQL, alongside enterprise NoSQL platforms like DynamoDB and MongoDB. From setting up Redis memory caching layers to building complex ETL data pipelines, we ensure complete data integrity and lightning-fast fetch times.
Sub-Millisecond Query Speeds
We make sure that the index structures are really good and we change the complicated joins so that the database queries can get the records away even when a lot of people are using the database at the same time. We do this so that database queries can fetch database records instantly when there is a lot of concurrency.
Zero-Data-Loss Failover
Configure multi-node replication and automated failover mechanics to safeguard against drive corruption or server failure.
Zero Management Overhead
We handle engineering salary management, software license tracking, database administration tools and professional development training. We make sure that engineering salary management is properly handled. We make sure that software license tracking is done correctly. We make sure that database administration tools are maintained. We make sure that professional development training is provided.
Enterprise Security & Encryption
We need to make sure that our data is really secure. This means we have to use encryption when the data is stored and when it is being sent. We should use something called TLS connections to keep our data safe. We also need to control who can see our data so we will use role-based access control.. We have to follow the rules of GDPR and HIPAA to make sure we are doing everything correctly with our data, especially the GDPR rules and the HIPAA rules.
Reduced Hardware & Cloud Costs
Optimized database queries significantly reduce the amount of CPU and RAM that is used. This makes it possible for servers to manage more traffic using the same hardware.
We have a lot of security measures in place to protect our data. We make sure that only the right people can see the information with our row-level security. Our column encryption is also very strong. We back up our data every day so we do not lose anything. The Database Administrators and Users have to go through a lot of checks to get access, to the data because we use zero-trust access controls and row-level security. We take security seriously and use column encryption and automated backup routines to keep our data safe.
Senior engineers with 5+ years of experience managing multi-terabyte production databases across diverse industries.
Our remote DBAs align their working schedule to provide 3 to 5 hours of direct overlap with your local development team.
We moved the database engines to a new system without stopping the applications that people were using. The database engines are really important because they store a lot of information. We did this without losing any of the records, from the complex database engines. This is a deal because it means that people could keep using the applications and the complex database engines without any problems. We were able to do this with the database engines.
All the migration scripts, all the schema definitions all the stored procedures and all the custom database code belong completely to your company.
Review the DBA resumes that have already been checked and approved do interviews that focus on questions, about query tuning and get a database engineer started within two business days.
The database engines, optimization tools, and caching layers our specialized engineers configure and manage.
We have a four step process to get great database administrators working on your project. This process is designed to help you find the people. The four steps are all, about recruitment and onboarding of expert database administrators. We want to make sure you get database administrators onto your project.
We take a look at how your database is set up which is your schema structure. We also check the query log files to see what is going on. The amount of data you have and how fast it is growing is important too so we look at your data volume growth rates. And we want to know where things get stuck so we examine the concurrency bottlenecks, in your database. We look at all of these things, including your schema structure to understand what is going on.
Our technical leads will find a Database Administrator who's a good fit for the kind of database system you use such, as PostgreSQL or MongoDB and we will do this within 24 hours. We make sure that the Database Administrator profiles we show you are already checked and approved.
I want to do a video interview. I also want to give some tests to see if we can make our database queries better.. Maybe I will look at the old plans we made for our database architecture. I will review the database architecture blueprints to see what we can do differently this time. Conducting a video interview will also help me get a better idea of what we need to do with our database.
The database engineer you hired is now part of your team. Has access, to your staging database instances your GitHub repositories and your communication tools. They can work on your database instances and your GitHub repos. Your database engineer is all set to start working with your communication tools and your staging database instances.
Engineers do a lot of things to help with data. They build indexes to make things faster. They also look at queries that are not working well. They rewrite them. Sometimes they have to build scripts to get data from one place to another these are called ETL scripts.. They make sure that all the data is safe, by putting automated backup pipelines in place. Engineers build these automated pipelines for the data.
Configuring alerts for queries monitoring connection pools setting up notifications for disk storage and doing regular performance health checks. Each of these steps is important for keeping the system running smoothly. Alerts for queries help catch performance issues early. Monitoring connection pools makes sure the system can handle the number of users. Notifications, for disk storage prevent outages. Routine health checks are a must to keep everything working as it should. All of these tasks are part of maintaining an efficient system.
You need to pick a contract model that's just right, for the kind of database engineering or administration work you do. This contract model should be tailored for your database engineering needs or your administration needs.
$30 - $55 / hour
$3,200 - $5,200 / month
Custom Scope Quote
See how our database experts removed response issues for big systems that handle a lot of data. See how our database experts removed response issues, for big systems that handle a lot of data.
I worked on making product search queries run faster in a PostgreSQL database that has, than 20 million rows. The changes I made helped reduce the server CPU usage. Before the changes the CPU was using 95% during flash sales. After the changes the CPU usage went down to 15%. The same product search queries were the focus of the work. The same product search queries were the focus of the work. The same product search queries were the focus of the work.
Read Case StudyI created a system that automatically copies data from one place to another. This system was used to move an amount of information, over 500 gigabytes from a live FinTech database. The best part is that it did not affect the people who use the database all so they did not experience any downtime with the FinTech database. The data was transactional. The system worked perfectly with the FinTech database.
Read Case StudyI changed the database of a business to use AWS DynamoDB. I used a table to make it work better. Now when you ask for information you get it really fast in than 5 milliseconds. This is great, for the enterprise B2B SaaS database because it needs to be fast. The single-table design principles really helped the enterprise B2B SaaS database to work with AWS DynamoDB.
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