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NoSQL

Scale with NoSQL experts

We design NoSQL data systems for scale and flexibility, choosing the right store and model for your access patterns, whether that's document, key-value, wide-column, or graph.

1–2wks
to project kickoff
2–4wks
to first working software
100%
code & IP ownership
6–10yrs
average engineering experience

This is for teams whose data on NoSQL has outgrown its current setup and who need modelling, performance, and reliability that hold up under load.

Custom NoSQL Development Services

We design and operate NoSQL systems that hold their speed, correctness, and availability even as the data piles up. Sound data modelling, tuned queries, and resilient operations are the priorities, a data platform your applications can lean on at any hour.

We design flexible, high-performance NoSQL databases modelled around how you actually query the data, using tools like MongoDB Compass, Cassandra DataStax DevCenter, and Amazon NoSQL Workbench. The schema follows the access patterns rather than just the data's shape, so the store keeps serving the application as it grows.

How we help

We model NoSQL schemas around real access patterns with Compass, DataStax DevCenter, and NoSQL Workbench.

We build dynamic single-page web and mobile applications on NoSQL backends, with performance work built in from the start so the data layer keeps pace as usage climbs.

How we help

We build web and mobile apps on NoSQL backends with performance tuning from day one.

We move legacy systems onto NoSQL with ETL tools like Apache NiFi and AWS DMS, mapping data to the right model, checking integrity, and cutting over with minimal disruption.

How we help

We migrate legacy data onto NoSQL with Apache NiFi and AWS DMS, checking integrity throughout.

We build serverless applications on AWS with DynamoDB, single-table design, access-pattern modelling, and autoscaling that hold latency low and keep costs predictable.

How we help

We build serverless apps on AWS DynamoDB with single-table design and autoscaling baked in.

We find the bottlenecks with tools like Prometheus, Redis monitoring, and MongoDB Atlas's performance tooling, then tune queries, indexing, and replication to push throughput up and latency down.

How we help

We diagnose bottlenecks with Prometheus, Redis monitoring, and Atlas tools, then tune queries, indexing, and replication accordingly.

We configure distributed NoSQL clusters across AWS, Azure, and GCP, tuning replication, consistency, and failover for global availability and low-latency reads wherever your users are.

How we help

We configure distributed multi-region clusters across AWS, Azure, and GCP for worldwide availability.

We build NoSQL backends for content management systems and digital asset libraries, structured to take large, varied content and heavy read volumes in stride.

How we help

We build NoSQL backends for CMS and digital asset libraries that manage large, varied content at scale.

We architect low-latency ingestion and real-time analytics on the MongoDB Aggregation Framework, Redis Streams, Apache Kafka, and AWS Kinesis.

How we help

We architect low-latency ingestion and real-time analytics with MongoDB Aggregation, Redis Streams, Kafka, and Kinesis.

NoSQL experts, AI-augmented

These are the AI coding tools our engineers use to ship faster and keep code clean, distinct from the AI systems we design and build for you.

CursorClaude CodeGitHub CopilotCodexWindsurfReplit

We use these tools inside strict guardrails, every line is reviewed by a person. See how we build →

1

Senior NoSQL engineers

Senior engineers with deep, hands-on NoSQL experience building production systems at scale.

2

Proven across industries

Our NoSQL teams have delivered data work across healthcare, finance, retail, and logistics, bringing domain awareness and hard-won patterns to every engagement.

3

Enterprise-ready delivery

We hold high standards for security, testing, and documentation, and can scale a NoSQL team up or down without sacrificing speed or quality.

The NoSQL toolset

The NoSQL ecosystem we work in: databases, frameworks, query languages, monitoring, deployment automation, and managed cloud services, grouped by what each does. Pick an area to see what we reach for and why.

The document, key-value, wide-column, and graph databases we build on, across open-source and managed engines.

MongoDB
Cassandra
Redis
Apache CouchDB
Couchbase
Neo4j
HBase
Amazon DynamoDB
Google Bigtable
Azure Cosmos DB

ODMs, drivers, and libraries that connect applications to NoSQL stores cleanly.

Mongoose
Spring Data MongoDB / Spring Data Cassandra
Express.js
PouchDB
Py2neo
Prisma
Apache Camel

Query languages and API layers for working across document, graph, and wide-column data alike.

MongoDB Aggregation Framework
GraphQL
CQL
PartiQL
Cypher
Gremlin
AQL

Graphical and monitoring tools for managing, exploring, and keeping an eye on NoSQL databases.

Studio 3T
RedisInsight
DataStax Studio
Atlas CLI
Amazon CloudWatch
Google Cloud Console
Azure Data Explorer

Infrastructure-as-code and orchestration tools for deploying and scaling NoSQL clusters dependably.

Kubernetes
Helm
Terraform
Ansible
Amazon CloudFormation

Managed cloud NoSQL services for serverless, globally distributed data stores.

Amazon DynamoDB
Amazon Keyspaces
Azure Cosmos DB
Azure Table Storage
Google Firestore
Google Bigtable
Engagement

How you'd work with us on NoSQL

Pick the level of ownership that suits you. We shape the engagement around your goals.

1

Staff augmentation

Add senior NoSQL engineers to a team you already have.

2

Dedicated team

A committed NoSQL team that runs like your own.

3

Full delivery

Hand over the build and we deliver it end to end.

Explore engagement models

NoSQL FAQ

Unsure which stack suits your build?

Tell us what you're building, and we'll help you pick and build with the right stack.

Book a discovery call