Platform Selection on Evidence
We score MongoDB, DynamoDB, Cassandra, Cosmos DB, Redis, Neo4j, and others against your access patterns, consistency needs, scale, and operating model, and document why each was chosen or ruled out.
Database Technologies
NoSQL Database Strategy & Implementation
Match Each Workload to the Database Built for It
Document, key-value, wide-column, and graph databases each solve different problems. Our architects help engineering leaders choose the right NoSQL database for each workload, design its data model, and put it into production alongside existing systems.
What We Deliver
Where We Make the Difference
NoSQL platforms are often chosen for familiarity or trend rather than fit, and a mismatch shows up later as slow queries, rising costs, or painful rework. We start from access patterns, consistency needs, and team skills, then recommend and build what fits.
Access-Pattern Data Modeling
We model data around the questions your application asks, using techniques such as single-table design in DynamoDB or query-first tables in Cassandra, rather than copying relational schemas.
Polyglot Architecture
We design systems that pair a relational core with a cache, search index, or graph only where each earns its place, and keep data flowing between them consistently.
Relational to NoSQL Moves
When a workload outgrows a relational database, we redesign the data model, plan dual writes or change data capture, and migrate in stages to limit risk.
Our Approach
How We Deliver NoSQL Database Strategy & Implementation
Step 1: Profile the Workloads
We document access patterns, data shapes, latency and consistency requirements, and expected growth for each workload your team is considering moving.
Step 2: Compare the Candidates
We shortlist platforms, build small prototypes where the choice is close, and present a recommendation with trade-offs and running costs.
Step 3: Model and Build
We design the data model for the chosen platform, build the integration with your applications, and load test against realistic traffic.
Step 4: Prepare Your Team
We set up monitoring and backups, document operating procedures, and train developers and operators to run the new platform with confidence.
Do we need NoSQL at all?
Not always. PostgreSQL with JSONB or a well-designed relational schema handles many workloads that teams assume need NoSQL. We recommend NoSQL only when access patterns, scale, or data shape call for it.
Is it a problem to run several databases?
Every added database brings more operations work, skills, and cost. We add one only when it clearly outperforms what you already run, and we plan how it will be monitored and supported.
How do we avoid choosing the wrong platform?
We test the leading candidates against your real access patterns before committing. The criteria and trade-offs behind the recommendation are documented so your team can review the reasoning.
Keep Exploring