Decodable vs. Amazon MSF

Unlock the power of real-time data

Decodable provides fully managed connectors and a simple development experience. Amazon MSF doesn't.

MSF's challenges can be costly

Poor developer experience

Hard to scale

Expensive to operate

Limited support

Working with Flink directly requires specialized knowledge, dedicated infrastructure, and significant maintenance. It also requires additional components to create a complete real-time data platform.

But there’s a better way to get the job done.

Deliver data reliably to any destination

Skip tuning, configuring, and managing infrastructure.

Connect

Use Flink across all your source and destination systems

  • Extensive catalog of managed connectors including CDC
  • Multi-stream connectors to simplify connections and reduce load
  • Automated schema inference and evolution support

Build

Simplify the development of stream processing pipelines

  • SQL, Java, and Python support for different users and use cases
  • Developer-friendly experience with CLI, Web UI, and unified APIs
  • Automate job configuration for faster real-time application development

Deploy

Flexible deployment options that align with operational and security requirements

  • Fully hosted (managed cloud) for ease of use
  • Bring Your Own Cloud option for data privacy and sovereignty
  • Zero infrastructure provisioning with automated scaling

Observe

Monitor and track utilization metrics to prevent runaway or over-provisioned jobs

  • Out-of-the-box performance metrics and error monitoring for connectors
  • Built-in tools to standardize and unify metrics across connectors and pipelines
  • Seamless integration with external monitoring tools

Secure

Protect against unauthorized access and comply with regulations like SOC2 Type II and GDPR

  • Role-based access control restricts access to connections, streams, and pipelines
  • Score credentials securely with authentication and secrets management
  • Comprehensive monitoring and auditing tracks all changes and resource states

Maintain

Ensure operational efficiency at scale with automation that reduces overhead and costs

  • Fully managed with automated scalability, state management, failover, and upgrades
  • Consumption-based pricing with no hidden costs or need for manual optimization
  • Proactive monitoring and support from our team of Flink experts

What Decodable brings to the table

The fully-managed, auto-optimized, real-time data platform powered by Apache Flink and Debezium.

Ease of use

Decodable is simpler to use and scale compared to MSF, requiring far less effort and expertise to build, deploy, and manage Flink jobs and pipelines. With out-of-the-box fully managed connectors and the ability to write SQL for data transformations, you can build pipelines faster.

Scalable

Scaling to hundreds or thousands of Flink jobs on MSF would require significant expertise and engineering resources. Decodable abstracts away the complexity by allowing users to specify task-based settings, and the platform dynamically configures the workload, adjusting resources, memory, I/O, and timeouts for optimal performance without manual intervention.

Cost efficient

Decodable’s pricing model is more attractive for massively scaling real-time data pipelines, avoiding the high fixed per-job costs of MSF. It provides more granular resource allocation options offering both scale up and scale out options compared to the large jumps in MSF based on Kinesis Processing Units.

Enterprise-grade support

Decodable's fully managed platform allows companies to focus on developing the business logic of their stream processing jobs. Decodable provides 24/7/365 enterprise support with SLA-backed response times, compared to MSF which only provides community support on a best-effort basis.

Whitepaper

8 Reasons to Choose Decodable Over Amazon Managed Service for Apache Flink

Quick Comparison

Decodable
Amazon MSF
Primary Focus
Stream processing platform as a service
Managed Apache Flink cluster
Deployment
Managed SQL pipelines and custom pipelines for Java and Python jobs
Streaming applications and Studio notebooks
Programming Languages
Java, Python, SQL
Java, Python, SQL (via notebooks)
Deployment Ease
Simplified setup with opinionated defaults
Flexibility in configuration and setup options
Management Philosophy
Fully managed connectors and SQL pipelines as well as custom Flink jobs
Managed Flink cluster with varied deployment options
Integration
Built-in connectors for major data sources and destinations
Connector code needs to be manually added to notebooks and Flink jobs
Developer Tools
CLI, unified API, and web UI for development and deployment
AWS Console and CLI for configuration and monitoring, interactive notebooks
Scalability
Automatic scaling based on workload
Automatic scaling based on workload
Monitoring & Logging
Integrated metrics and logging within platform and Flink web dashboard access
AWS Console for monitoring and Flink web dashboard access
SQL Support
First-class support with rich editing capabilities
Only in interactive notebooks
Customization
Ability to integrate custom Flink jobs seamlessly
Flexibility in configuring and deploying custom applications
Primary User Base
Developers seeking streamlined development and deployment
Flink experts invested in AWS and/or needing extensive AWS integration

"We’re using Decodable to ingest nearly two terabytes of data a day. We've seen firsthand how Decodable accelerates the development of AI applications. Our engineers swiftly created a prototype in just 12 days, allowing us to expedite the launch of our AI product within two months."

Lior Solomon

VP of Data Engineering at Drata