Gurugram, India — February 2026: Databricks, a leading Data and AI company, launched ‘Lakebase’, a fully managed Postgres Online Transaction Processing (OLTP) database built for data apps and AI agents. Lakebase is a serverless database that separates compute from storage, leading to faster software and mobile app development with AI-ready capabilities.
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Scaling of Application Becomes Automated with Lakebase
Traditional database systems have tightly linked computing and storage. Eventually, when a complicated query runs, it uses a large amount of processing power. This affects the performance of all other users and processes.
As Lakebase separates computing and storage, businesses can scale automatically according to application load. During inactivity, the database shuts down automatically. This further helps a business save costs by avoiding the cost of unused resources.
This serverless architecture is highly suitable for cloud-native and AI-driven apps that have a fluctuating workload.
Now Integration of Agentic AI to Custom Built Software and Legacy systems in Days Not in Months
The traditional databases were not compatible enough with the AI agents due to their limited scalability. With the new Lakebase serverless architecture providing automatic scaling without affecting the performance, agentic AI development and integration time goes from months to days.
Lakebase has been developed specifically for Agentic AI systems that operate autonomously on live transactional data. Being serverless, Lakebase will allow AI agents to create, scale, monitor, and retire databases programmatically while executing tasks in real time.
When integrated with legacy systems and apps, the performance will remain stable when AI agents handle automation, data processing, and decision-making tasks. This innovation eliminates delayed data pipelines and manual interventions from the entire automation process.
Faster and Safer Software Updates Through Instant Database Branching
Lakebase comes with an instant Database Branching feature, which allows developers to create isolated development and testing environments within seconds. No additional infrastructure setup is required. This helps a business test updated features without affecting the live systems.
Database branching also simplifies the overall testing, bug-fixing, and update release processes. Eventually, a business can scale faster and implement software updates effortlessly. Instant Database Branching is an advantage for MVP app development, helping MVPs scale seamlessly.
Custom Software and App Development Timeline and Cost Slash Down
With the launch of Lakebase, businesses no longer need to maintain complex database infrastructures. Traditional infrastructure management added operational complexity for businesses.
Lakebase eliminates complex infrastructure setup and manual testing processes. This slashes down the development timeline and cost for enterprise software and mobile applications by reducing infrastructure dependencies.
Reduced Risk with Built-In Data Recovery and Governance
Faster development, launch, and testing come with high security with Built-In data recomvers and governance features. Lakebase has a point-in-time recovery feature, which allows businesses to restore databases in real-time in cases of accidental deletion and system failure.
Automated backup and recovery run in the background consistently to keep the data protected. Businesses may integrate Databricks Unity Catalog, a centralized governance solution for data, analytics, and AI assets within the Databricks Lakehouse platform, to strengthen security compliance.
A Surge is Expected in Demand for Bespoke AI-Ready Software Systems in Organizations
Clearly, as the software development timeline and cost come down, a market surge is expected in the demand for bespoke enterprise systems. Businesses might shift from SaaS-based shelf solutions to fully-owned and personalised custom software apps.
Recently, renowned brands have started adopting Lakebase for faster development and higher business efficiency. For example, Hafnia, a Shipping Company, reduced app development time by 92% (from 2 months to 5 days). It implemented live systems for Fleet management, Commercial operations, and Finance management, shifting away from static reports.
Likewise, easyJet Airlines reduced development time from 9 months to 4 months, replacing a decade-old legacy system for higher efficiency. Warner Music Group eliminated the separate reporting systems and faster decision-making by integrating analytics into live production systems. Quantum Capital Group now uses governed data to evaluate oil and gas investments with a single and consistent data system.
Ezulix Adopts Lakebase to Ensure Faster Delivery of Bespoke Solutions
Ezulix, the leading custom software development company specializing in bespoke ERPs, mobile applications, and website development, has also adopted AI-powered data engineering solutions. Soon, the clients can seek faster project deliveries and save a great deal on development costs with Lakebase at Ezulix.
Lakebase Availability and Roadmap
Currently, Databricks has announced general availability on AWS. In the upcoming months, Databricks is planning to introduce additional compliance certifications such as SOC 2 and HIPAA, in the coming months.
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