ScyllaDB vs MongoDB: how Numberly optimizes NoSQL for performance and flexibility
Numberly has used ScyllaDB and MongoDB in production for over 5 years, choosing each for very specific use cases. MongoDB provides great schema flexibility and simple queries, making it ideal for REST APIs, data with unpredictable structure, and prototypes that evolve quickly. ScyllaDB ensures consistent performance and low latency in real-time pipelines, mixed workloads, and GraphQL backends that require horizontal scalability and stability during traffic spikes.
MongoDB stands out when the priority is development speed, ad hoc queries, and data models that change over time. Its ability to handle schema-less JSON documents makes it easier to build custom applications and bespoke software that need to iterate frequently. In contrast, ScyllaDB offers deterministic performance for large-scale operations, efficient replication, and fault tolerance, key aspects for systems that require real-time processing and latency consistency.
The combination of both engines allows teams like Numberly to design hybrid architectures: MongoDB for flexible ingestion, agile searches, and document-oriented workflows; ScyllaDB for intensive read and write loads, event queues, and critical services with strict latency requirements. This hybrid approach is especially effective in solutions that combine GraphQL with real-time pipelines, where each engine covers the part of the system for which it is optimized.
At Q2BSTUDIO we leverage these learnings to offer custom software development services and bespoke applications that integrate the best NoSQL databases according to the project's needs. We are specialists in artificial intelligence and AI for businesses, developing AI agents, business intelligence solutions, and analytics with Power BI to turn data into actionable decisions. We also offer AWS and Azure cloud services and cybersecurity consulting to ensure secure and scalable deployments.
If your project requires custom software or bespoke applications that combine high flexibility with consistent performance, we can design an architecture that uses MongoDB for the document part and ScyllaDB for critical real-time components. Our artificial intelligence services integrate models and AI agents that improve automation and user experience, while our business intelligence services and Power BI capabilities allow you to visualize and exploit data effectively.
At Q2BSTUDIO we also provide ongoing support, migrations, and optimization of NoSQL databases, advising when it is best to use MongoDB, ScyllaDB, or a combination of both. If you need secure and scalable cloud solutions, our AWS and Azure cloud services and our focus on cybersecurity will help you reduce risks and accelerate time to market. Contact Q2BSTUDIO to transform your idea into a robust solution with artificial intelligence, AI agents, business intelligence services, and integrated Power BI.
Relevant keywords: bespoke applications, custom software, artificial intelligence, cybersecurity, AWS and Azure cloud services, business intelligence services, AI for businesses, AI agents, Power BI.
