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Unify your data stack with a fully-managed, serverless platform for real-time ETL/ELT and stream processing.

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Reviews onG2
16 reviews tracked

The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Eliminates infrastructure overhead and management

Biggest con

No explicit free tier mentioned, implying a paid service

TL;DR - Decodable

  • Fully-managed, serverless platform for real-time ETL/ELT and stream processing.
  • Simplifies pipeline development with SQL, Java, Python, and pre-built connectors.
  • Ensures operational excellence with built-in security, compliance, and automatic scaling.
Pricing: Free plan available
Best for: Growing teams
4.7/5 across review platforms

What is Decodable?

Editorial review
Decodable is a fully-managed, serverless platform designed for real-time data movement and processing. It unifies ETL, ELT, and reverse ETL operations, allowing users to build and deploy data pipelines with ease. Built on open-source technologies like Apache Flink and Debezium, it abstracts away infrastructure complexities, enabling developers to focus on data transformation and analysis. The platform supports pipeline development using SQL, Java, and Python, and offers a rich library of pre-built connectors for various data sources and destinations. It's ideal for organizations looking to power AI applications with fresh, real-time data, improve analytics, and ensure operational excellence with built-in security and compliance. Decodable aims to simplify real-time data integration, reduce architectural complexity, and accelerate time-to-market for data-driven initiatives. Decodable provides stateful stream processing capabilities, ensuring exactly-once processing, fault tolerance, and automatic scaling. It caters to data engineers, backend developers, and data platform experts who need to ingest, transform, and deliver fast, reliable data for analytics, monitoring, and AI-driven decision-making without the operational burden of managing underlying infrastructure.

Available on: Web

Pros & Cons

Pros

  • Eliminates infrastructure overhead and management
  • Accelerates development of real-time data pipelines and AI applications
  • Ensures data security and regulatory compliance
  • Provides powerful stateful stream processing capabilities
  • Offers flexible development options (SQL, Java, Python) and integrations (dbt)

Cons

  • No explicit free tier mentioned, implying a paid service
  • Requires understanding of data streaming concepts for advanced use cases
  • Acquisition by Redis might lead to changes in product direction or pricing

Ratings Across the Web

4.7(16 reviews)

Ratings aggregated from independent review platforms. Learn more

Preview

Key Features

Fully-managed serverless platformReal-time ETL, ELT, and Reverse ETLStream processing built on Apache Flink and DebeziumPipeline development with SQL, Java, and PythonPre-built connector library (Kafka, PostgreSQL, Iceberg, Snowflake, CDC)Stateful stream processingExactly-once processing guaranteesAutomatic scaling and scale-to-zero

Pricing Plans

Pricing checked Jul 2, 2026

Free

Free

Everything in all plans, plus:

  • Authentication: Username/Password, Social
  • Support channels: Community Slack, Chat
  • Support SLA: Best effort
  • Customer onboarding: Public documentation
  • Training: Public and community events
  • Stream retention: 24 hours / 10GiB
  • Default stream limit: 20 streams
  • Task sizes: Small, Medium

On Demand

$0.12 / Credit

Everything in all plans, plus:

  • Self-managed BYOC data plane
  • Private network connectivity
  • Authentication: Username/Password, Social
  • Support channels: Community Slack, Chat, Email
  • Support SLA: 8am - 5pm, Monday - Friday, excluding regional holidays, Initial response time: 4 hours
  • Platform uptime SLA: 99.9%
  • Customer onboarding: Public documentation
  • Training: Public and community events

Enterprise

$0.10 / Credit

Everything in all plans, plus:

  • Self-managed BYOC data plane: Available option
  • Fully-managed BYOC data plane: Available option
  • Isolated single-tenancy: Available option
  • Custom region support: Available option
  • Private network connectivity: Available option
  • Authentication: Username/Password, Social, Google Workspace, SAML 2, OAuth2/OIDC, Microsoft Active Directory/ADFS/Azure AD, Okta, Ping Identity
  • Support channels: Community Slack, Dedicated Slack or Teams channel, Chat, Email, Zoom
  • Support SLA: 24 hours/day, 365 days/year, Initial response time: 2 hours

Included in all plans

  • Fully managed Apache Flink runtime
  • Flink SQL transformations
  • Flink Java / Python transformations
  • Real-time preview of jobs
  • Fully managed connector library
  • Fully managed Debezium
  • Serverless control plane
  • Serverless data plane

Reviews

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4.7/5

Across 16 verified user reviews on G2

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Decodable FAQ

How does Decodable support real-time analytics?

Decodable is a fully-managed, serverless platform designed for real-time data movement and processing. It unifies ETL, ELT, and reverse ETL operations, allowing users to build and deploy data pipelines that deliver fresh, real-time data for analytics.

Which teams benefit most from using Decodable?

Decodable is best suited for data engineers, backend developers, and data platform experts. These teams can leverage its capabilities to ingest, transform, and deliver fast, reliable data for analytics, monitoring, and AI-driven decision-making.

How does Decodable compare to Materialize for real-time data processing?

Decodable is a fully-managed, serverless platform built on open-source technologies like Apache Flink and Debezium, offering flexible development with SQL, Java, and Python. It focuses on abstracting infrastructure complexities for real-time ETL/ELT and stream processing, while Materialize is another platform designed for real-time data processing.

What kind of development options does Decodable offer for building data pipelines?

Decodable supports pipeline development using SQL, Java, and Python. This flexibility allows various developers to build and deploy data pipelines according to their preferred language and existing skill sets.

How is Decodable priced?

Decodable offers a free tier for users to get started. For more extensive usage and additional features, paid plans are available.

Can Decodable handle stateful stream processing?

Yes, Decodable provides powerful stateful stream processing capabilities. It ensures exactly-once processing, fault tolerance, and automatic scaling for reliable data operations.

What are the main trade-offs when choosing Decodable?

While Decodable simplifies real-time data integration, advanced use cases may require an understanding of data streaming concepts. Additionally, its recent acquisition by Redis might lead to future changes in product direction or pricing.

Source: decodable.co