FleetDB vs Azure Cosmos DB

Struggling to choose between FleetDB and Azure Cosmos DB? Both products offer unique advantages, making it a tough decision.

FleetDB is a Business & Commerce solution with tags like time-series, metrics, sensor-data, events, lightweight, scalable, docker, kubernetes.

It boasts features such as Time series data storage, High write throughput, Fast reads, Numeric data optimization, Lightweight, Scalable, Docker and Kubernetes deployments and pros including Open source, Fast performance, Scalable, Lightweight, Easy deployment.

On the other hand, Azure Cosmos DB is a Ai Tools & Services product tagged with nosql, document-database, microsoft-azure, cloud-database.

Its standout features include Globally distributed database, Multiple data models (document, key-value, wide-column, graph), Automatic indexing and querying, Multi-master replication, Tunable consistency levels, Serverless or provisioned throughput, SLAs for high availability, Encryption at rest and in transit, and it shines with pros like High scalability and availability, Low latency worldwide access, Multiple APIs and SDKs, Automatic indexing and querying, Flexible data models, Serverless option reduces ops overhead.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

FleetDB

FleetDB

FleetDB is an open-source time series database optimized for fast reads and writes of numeric data. It is useful for capturing metrics, sensor data, and events. FleetDB is lightweight, scalable, and easy to deploy in Docker and Kubernetes.

Categories:
time-series metrics sensor-data events lightweight scalable docker kubernetes

FleetDB Features

  1. Time series data storage
  2. High write throughput
  3. Fast reads
  4. Numeric data optimization
  5. Lightweight
  6. Scalable
  7. Docker and Kubernetes deployments

Pricing

  • Open Source

Pros

Open source

Fast performance

Scalable

Lightweight

Easy deployment

Cons

Limited documentation

Not ideal for non-numeric data

No built-in monitoring or alerting

Limited ecosystem compared to more established databases


Azure Cosmos DB

Azure Cosmos DB

Azure Cosmos DB is a globally distributed, multi-model database service by Microsoft for mission-critical applications. It supports document, key-value, wide-column, and graph databases, and provides APIs for multiple platforms.

Categories:
nosql document-database microsoft-azure cloud-database

Azure Cosmos DB Features

  1. Globally distributed database
  2. Multiple data models (document, key-value, wide-column, graph)
  3. Automatic indexing and querying
  4. Multi-master replication
  5. Tunable consistency levels
  6. Serverless or provisioned throughput
  7. SLAs for high availability
  8. Encryption at rest and in transit

Pricing

  • Pay-As-You-Go
  • Subscription-Based

Pros

High scalability and availability

Low latency worldwide access

Multiple APIs and SDKs

Automatic indexing and querying

Flexible data models

Serverless option reduces ops overhead

Cons

Can be more expensive than other databases

Steep learning curve for some features

Limited query support compared to SQL databases

Vendor lock-in