The shift to the cloud, modern application architectures, and increasing regulatory demands has changed the game for data infrastructure. To stay competitive, businesses need a database that combines the reliability and familiarity of traditional solutions—like PostgreSQL compatibility and ACID transactions—with the advantages of distributed SQL.
Only CockroachDB delivers unmatched resilience, effortless scalability, and the flexibility to evolve with your business needs.
Distributed SQL is the next evolution of the business-critical database—built for resilience, scale, data locality, and the possibilities of the cloud. CockroachDB empowers the world’s most innovative companies with always-on availability, effortless global consistency, operational simplicity, and the flexibility to adapt to what’s next.
Organizations are shifting to modern application solutions to increase the agility of their business and enhance the quality of customer and employee experiences. Several industry drivers are forcing this shift, including:
Although moving to microservices enables organizations to accelerate their application projects, it is challenging to maintain data persistence and data integrity without complex changes in application code.
Although Kubernetes-based applications can reduce complexity in managing large-scale deployments and increase resource consumption, it is difficult to scale data infrastructure to keep up with demand.
Ensuring seamless CI/CD requires zero-downtime application changes, automated database provisioning, and familiar developer tools.
It is difficult to enable business-critical workloads to run on a horizontally scalable and distributed system while delivering the same transactional consistency and reliability as a mainframe.
Organizations are looking to modernize their data infrastructure due to requirements operating in highly regulated industries that must adhere to the highest standards of data integrity and regulatory scrutiny, and from the move to the cloud.
As organizations deploy their applications and infrastructure in the cloud, it is challenging to scale applications and achieve high availability across global locations and fluctuating demands while integrating with existing cloud services.
Organizations are looking to enable cloud portability between cloud providers to manage risk, enhance resilience, and operate at a global scale.
Global organizations are adopting regulations around where data is generated, stored, processed, and distributed. Regulations include: General Data Protection Regulation (GDPR), Personal Data Protection Act (PDPA), California Consumer Privacy Act (CCPA), Digital Operational Resilience Act (DORA).
Organizations are rapidly adopting AI technologies and looking for future-proof platforms to spin up their AI applications. Use-cases include chatbots, content generation, semantic search, and recommendation engines.
New AI models can hallucinate unless AI data is integrated with existing transactional data. Having vector data and transactional data in two separate databases increases operational complexity and adds additional latency.
AI applications need ways to generate fast queries and reduced computational overhead from data infrastructure.
Enterprise AI applications need to be resilient to failures and be able to withstand the impact of outages and downtime.
Download The Architect's Guide to SQL Database Modernization: Your Step-by-Step Roadmap to discover where you stand, plan your path forward, and take the proven steps to build a future-ready data infrastructure.
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