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Cloud Intelligence Solutions

Database Technologies

Amazon DocumentDB

Run MongoDB Workloads on AWS Without Managing Servers

Amazon DocumentDB gives teams a MongoDB-compatible document database without the work of running MongoDB clusters on EC2. Our consultants help AWS customers decide whether it fits, migrate existing workloads, and run DocumentDB clusters that stay fast, secure, and affordable.

What We Deliver

Where We Make the Difference

DocumentDB is compatible with the MongoDB API but not identical to MongoDB, and the differences surface in operators, index types, and aggregation stages. We test your application against DocumentDB before anything moves, then size the cluster for how your data is really read and written.

01

Compatibility Testing First

We run your queries, drivers, and aggregation pipelines against DocumentDB early, flag unsupported operators or index types, and fix them in application code before migration planning starts.

02

Low-Downtime Migration

AWS DMS full load plus ongoing replication keeps DocumentDB in step with your source MongoDB deployment, so cutover becomes a short, planned switch instead of a long outage.

03

Right-Sized Clusters

We choose between instance-based and elastic clusters, size instances and read replicas to your traffic, and weigh standard against I/O-Optimized storage to keep monthly costs predictable.

04

Security and Resilience

Clusters run inside your VPC with TLS in transit, AWS KMS encryption at rest, replicas across Availability Zones for automatic failover, and point-in-time restore configured from day one.

Our Approach

How We Deliver Amazon DocumentDB

  1. Step 1: Check the Fit

    We review your data model, query patterns, and the MongoDB features you use, then confirm whether DocumentDB, MongoDB Atlas, or a self-managed option suits the workload best.

  2. Step 2: Close Gaps Before Moving

    We address compatibility gaps in application code, map indexes to supported types, and rehearse the migration on a copy of production data.

  3. Step 3: Migrate and Validate

    We load data, run ongoing replication until cutover, compare document counts and sample records, and confirm application behavior before switching traffic.

  4. Step 4: Operate With Clear Visibility

    We set up CloudWatch metrics, Performance Insights, and alarms, tune slow queries with the profiler, then support the cluster or hand operations to your team.

FAQ

Common Questions

Something we did not cover? Ask us directly.

Is DocumentDB the same as MongoDB?

No. DocumentDB implements the MongoDB API on AWS's own storage engine, so most drivers and queries work, but some operators and features do not. We test your application to find exactly where the gaps are.

Should we choose DocumentDB or MongoDB Atlas?

DocumentDB suits teams committed to AWS who want native IAM, VPC, and billing integration. Atlas offers full MongoDB feature support and runs on several clouds. We compare both against your workload and roadmap.

Can you take over DocumentDB clusters we already run?

Yes. We start with a health check of instance sizing, indexes, slow queries, and backup settings, then provide ongoing support or targeted fixes.

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