Azure Cosmos DB Consulting

Cazton is a Microsoft Azure Cosmos DB Preferred Partner.

• Globally Distributed with Low Latency: Azure Cosmos DB offers seamless, multi-region distribution with single-digit millisecond latency for reads and writes, ensuring fast, localized access to data.
• Multi-Model Support: Azure Cosmos DB supports multiple data models - including document, key-value, graph, column-family, relational, and vector data - allowing businesses to unify their data storage and management strategies in one platform.
• Advanced Vector Search for AI: With integrated vector indexing, Azure Cosmos DB can power AI workloads, including semantic search, recommendation engines, and retrieval-augmented generation (RAG) without needing a separate vector database.
• Team of Experts: Our team is composed of PhD and Master's-level experts in data science and machine learning, award-winning Microsoft AI MVPs, open-source contributors, and seasoned industry professionals - including Cosmos DB Cosmonauts (Microsoft's top award) - all with years of hands-on experience.
• Top clients: We help Fortune 500, large, mid-size and startup companies with Big Data and AI development, deployment (MLOps), consulting, recruiting services and hands-on training services. Our clients include Microsoft, Google, Broadcom, Thomson Reuters, Bank of America, Macquarie, Dell and more.

Introduction

In today’s interconnected world, businesses operate on a global scale, serving customers across different regions and time zones. Ensuring fast and reliable access to data is paramount for maintaining customer satisfaction and driving business growth. However, traditional databases often fall short in meeting the demands of a global audience, leading to performance bottlenecks and data consistency issues.

Enter Azure Cosmos DB, Microsoft’s fully managed, globally distributed database service built to meet the demands of modern, globally scaled applications. It supports multiple data models - document, key-value, graph, column-family, relational, and vector - within a single platform. Delivered as a PaaS, it automates infrastructure tasks like scaling, patching, and backups. With millisecond latency, 99.999% availability, and robust SLAs, Azure Cosmos DB enables businesses to build high-performance, always-on applications without managing database complexity.

At Cazton, we have technical professionals with expertise gained all over the world and in all fields of the tech industry and we put this expertise to work for you. Our team can guide your company in architecting Azure Cosmos DB solution that meets your business goals and ensures a smooth cloud migration.

Core Features

Azure Cosmos DB offers a rich feature set that combines enterprise reliability with cloud agility. Key capabilities include:

• Global Distribution & Performance: Azure Cosmos DB replicates data across Azure regions for low-latency, local access. It ensures sub-10ms response times (99th percentile) and 99.999% uptime in multi-region setups. Active-active replication and automatic failover support uninterrupted business continuity.
• Elastic Scale: Compute and storage scale independently, with throughput measured in Request Units (RUs). Autoscale or manual scaling adjusts capacity within seconds. This elastic model supports massive workloads and cost efficiency - you only pay for what you use.
• Multi-model & Multiple APIs: Cosmos DB supports multiple data models and APIs (SQL, MongoDB, Cassandra, Gremlin, Table, PostgreSQL). This enables teams to reuse existing tools and code. Applications can migrate with minimal changes and benefit from Cosmos DB’s unified platform features.
• Consistency Levels: Five tunable consistency models - strong, bounded staleness, session, consistent prefix, and eventual - allow you to balance performance and data accuracy. Choose the level that aligns with your use case, from strict financial systems to high-speed social apps.
• Automatic Indexing: All data is indexed by default, requiring no schema or manual configuration. Queries are instantly supported across any field. Custom indexing policies can be applied to control cost and performance based on workload needs.
• Enterprise SLAs and Security: Azure Cosmos DB offers encryption in transit and at rest, network isolation, Azure AD integration, and compliance with GDPR, HIPAA, FedRAMP, and more. Backed by Azure’s SLAs, it meets the highest standards for enterprise-grade security and reliability.

Together, these features make Azure Cosmos DB a compelling choice for business-critical applications that demand fast global performance and turnkey scalability.

Vector Database Capabilities

Azure Cosmos DB includes native vector indexing, enabling efficient similarity searches over high-dimensional embeddings (like those from text, images, or audio). This allows businesses to store vectors and related content together - within the same database - eliminating the need for separate vector stores.

By supporting built-in vector search using HNSW algorithms, Azure Cosmos DB makes it easy to implement semantic search, recommendations, and Retrieval-Augmented Generation (RAG) at scale. It handles vector indexing and querying automatically, providing low-latency results with global distribution, elastic scaling, and robust consistency.

Our team of experts help businesses harness the power of Azure Cosmos DB’s vector database capabilities to deliver intelligent, scalable AI solutions. From semantic search to recommendation engines, we build custom implementations that integrate vector indexing with Azure OpenAI services. Our expertise ensures high accuracy, relevance, and security - tailoring solutions to your unique business needs while aligning with your existing tech stack. With Cazton, enterprises can confidently operationalize AI using a robust and secure data foundation.

Azure Cosmos DB and AI

Azure Cosmos DB plays a foundational role in enabling AI applications across industries - from customer service bots to predictive analytics. Its multi-model and globally distributed nature make it ideal for AI scenarios that require fast, scalable, and intelligent data access.

It integrates tightly with Azure OpenAI, allowing businesses to deploy chatbots, summarization engines, and search applications powered by embeddings stored and queried within Cosmos DB itself. This helps reduce system complexity while boosting response times and model accuracy.

With Azure Cosmos DB for MongoDB vCore, organizations can run AI workloads on a fully managed, MongoDB-compatible backend. This includes support for vector search and advanced indexing, enabling developers to build AI features using familiar MongoDB tools - while benefiting from Cosmos DB’s scalability, elasticity, and native Azure integration.

We help clients bring these possibilities to life through custom AI architectures, combining Azure Cosmos DB, vector indexing, and large language models to drive innovation - securely and efficiently - at scale.

API and SDKs

Azure Cosmos DB provides multiple APIs to support different data models, making it flexible for a wide range of use cases. Whether you're working with documents, key-value pairs, graphs, or column-family data, you can choose from APIs such as SQL (Core), MongoDB, Cassandra, Table, and Gremlin. This multi-model approach allows organizations to modernize applications without rewriting large portions of their existing codebase.

To support developers across platforms, Azure Cosmos DB offers SDKs in popular languages including .NET, Java, Python, Node.js, and more. These SDKs simplify integration, support key database operations, and enable access to advanced features like change feed, partitioning, and consistency tuning. This empowers development teams to build scalable, high-performance applications quickly and efficiently.

Security and Compliance

Azure Cosmos DB is built with a security-first architecture, offering features like encryption at rest and in transit, private endpoints, and role-based access control to help protect sensitive data. It also supports customer-managed keys, giving organizations full control over their data encryption strategies.

From a compliance standpoint, Cosmos DB meets global and industry-specific standards including ISO 27001, SOC 1/2/3, GDPR, HIPAA, and FedRAMP. These certifications make it suitable for businesses in healthcare, finance, government, and other regulated industries, ensuring that data governance and legal requirements are fully addressed.

Integration with Microsoft Ecosystem

Azure Cosmos DB seamlessly integrates with other Microsoft services, enabling end-to-end solutions across data analytics, AI, automation, and visualization.

• Microsoft Fabric: Azure Cosmos DB serves as a powerful backend for Microsoft Fabric, enabling seamless data ingestion, storage, and transformation across lakehouse's, data warehouses, and real-time analytics pipelines within a unified data platform. Learn more about Microsoft Fabric.
• Power BI: With native integration, Power BI can directly query data stored in Azure Cosmos DB for interactive dashboards and real-time reporting. This allows businesses to visualize operational data and gain insights without complex ETL processes.
• Azure Synapse Analytics: Azure Cosmos DB integrates with Synapse via Synapse Link, enabling near real-time analytics on operational data without impacting transactional workloads. This supports advanced analytics and AI-driven insights at scale.
• Azure AI Search: Azure Cosmos DB works as a data source for Azure AI Search, enabling fast and intelligent full-text search across large datasets. Combined with vector indexing, it enhances semantic search capabilities for modern applications. Learn more about Azure AI Search.
• Azure OpenAI: Azure Cosmos DB stores context-rich and vectorized data that can be used by Azure OpenAI for generative AI, semantic search, summarization, and chatbot scenarios - powering smarter, more context-aware AI solutions. Learn more about Azure OpenAI.
• Azure Functions & Logic Apps: It integrates natively with serverless offerings like Azure Functions and Logic Apps, enabling reactive, event-driven workflows. This is ideal for scenarios such as real-time processing, automation, and microservices orchestration.
• Azure Data Factory: Azure Cosmos DB is supported as a source and sink in Azure Data Factory pipelines, making it easy to orchestrate data movement and transformation across various systems in the cloud or on-premises.

Cazton specializes in building integrated solutions that leverage Azure Cosmos DB alongside services like Microsoft Fabric, Power BI, Azure Synapse, Azure AI Search and Azure OpenAI. Our expertise ensures seamless data flow, real-time analytics, and AI-driven insights tailored to your business needs. We help organizations unlock the full potential of the Microsoft ecosystem with secure, scalable, and future-ready architectures.

How can Cazton help you with Azure Cosmos DB?

Cazton is a Microsoft Azure Cosmos DB Preferred Partner.

At Cazton, we're more than just advisors - we're your hands-on, results-driven partners who take full responsibility for delivering solutions that align with your vision. Our approach is rooted in execution, ensuring you don't just get expert recommendations but a fully implemented, high-performing solution tailored to your needs.

We have helped our clients with high performance as well as high scalability. We have worked on projects where Cosmos DB has delivered incredible results with write queries as low as 11ms and with read queries as low as 8ms. Our experts have training content on Microsoft Channel 9 on Cosmos DB. Our CEO was invited as an industry expert speaker for, one hour on Microsoft Visual Studio Launch Event and he showed how to do CRUD operations with Cosmos DB and .NET and Node.js.

Our Offerings:

• End-to-End Architecture Design: We design scalable, globally distributed Cosmos DB architectures tailored to performance, cost, and business goals.
• High-Performance Implementation: Our engineers fine-tune partitioning, indexing, and consistency models to achieve ultra-low latency and high throughput.
• Data Modeling & API Strategy: We guide you in choosing the right data model (document, graph, etc.) and API (SQL, MongoDB, Cassandra, etc.) to align with your application's needs.
• Migration & Modernization: We migrate legacy databases to Azure Cosmos DB with minimal downtime, ensuring data integrity and system compatibility.
• Integration with Microsoft Ecosystem: We integrate Azure Cosmos DB with services like Azure Synapse, Power BI, Azure OpenAI, and more for a complete data-driven solution.
• Monitoring, Cost Optimization & Autoscaling: We implement proactive monitoring, RU tuning, and autoscale configurations to maximize performance while minimizing cost.
• Security, Governance & Compliance: We enforce enterprise-grade security, role-based access, and compliance strategies aligned with industry standards like HIPAA and GDPR.
• Training: We offer custom training programs for teams - led by seasoned industry professionals - including Cosmos DB Cosmonauts (Microsoft's top award) and top Microsoft RD and MVP credentials.

Our hands-on approach ensures that we do the heavy lifting, taking responsibility for delivery and implementation. We're on the hook for your success - whether it's migrating legacy systems, building high-performance solutions, or optimizing cloud-native applications. With a proven track record of delivering complex projects within tight deadlines, we are here to make your vision a reality.

When you work with Cazton, you're choosing a team that doesn't just consult but collaborates, builds, and delivers solutions designed for your success. Our clients trust us to consistently deliver complex projects within tight deadlines. We have not only saved them millions of dollars but also demonstrated time and again our ability to exceed expectations, providing innovative solutions and unparalleled value. Let us help you turn your challenges into opportunities and your vision into results. Reach out today, and let's make it happen together!