NoSQL database solutions using MongoDB and DynamoDB. We design and implement document, key-value, and wide-column databases for high-scale, flexible data needs.
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NoSQL databases excel at specific data patterns — flexible schemas, high write throughput, horizontal scaling, and hierarchical data. We help you choose the right NoSQL technology, design optimal data models, and implement solutions that leverage each database's strengths while avoiding common pitfalls.
We work with MongoDB Atlas for managed document storage, AWS DynamoDB for serverless key-value, Redis for caching and sessions, Cassandra for wide-column time-series, and Elasticsearch for search. All implementations include proper monitoring, backup, and disaster recovery.
Applications with flexible schema requirements, high-write workloads, hierarchical data, or unlimited horizontal scaling needs. Also for teams that chose NoSQL but are struggling with data modeling, performance, or cost optimization. We help you get the most from NoSQL.
Analyze access patterns, data relationships, scale requirements, and consistency needs.
Select database technology, design data models, and plan indexing and partitioning strategies.
Implement data models, build access layer, configure replication, and set up backups.
Load test with realistic data volumes, optimize hot paths, and validate scaling behavior.
Deploy monitoring, set up alerts, document data models, and establish operational procedures.
Let's design a NoSQL solution that handles your data at any scale with the right technology.
MicrocosmWorks specializes in MongoDB, DynamoDB, Cassandra, Redis, and Couchbase. We help you choose the right NoSQL database based on your data model, consistency requirements, and scalability needs.
Our NoSQL database consulting and development services range from $20-$45/hour, depending on the database technology and project complexity involved.
NoSQL databases are ideal when you need flexible schemas, horizontal scalability, high write throughput, or when your data is naturally document-oriented, graph-based, or key-value structured. MicrocosmWorks helps you evaluate whether NoSQL is the right fit for your specific use case.
Yes, we design polyglot persistence architectures that combine multiple NoSQL databases—for example, MongoDB for document storage, Redis for caching, and Neo4j for graph relationships—all integrated into a cohesive data layer.
We implement eventual consistency patterns with conflict resolution strategies, use change data capture for cross-database synchronization, and configure tunable consistency levels in databases like Cassandra to balance performance with data accuracy.