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Automation Integration · head to head

Decodable vs Firestore

Decodable logo

Decodable

Automation Integration

Managed Apache Flink and Debezium with credit-based pricing and a free tier

From
Free
Rated
-
Full reviewWebsite
Firestore logo

Firestore

Databases

Flexible, scalable NoSQL cloud database from Firebase

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Decodable credit pricing rewards intermittent work and penalises always-on pipelines: a single small task running continuously costs roughly 86 US dollars a month before any parallelism.; Firestore the no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
  • They diverge on capability: Decodable covers Managed Flink, Firestore covers Document Model.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Decodable and Firestore actually diverge.

Attributes where Decodable and Firestore differ
AttributeDecodableFirestore
Pricing modelPer credit by task hourfreemium
PlatformsWeb, LinuxWeb, Ios, Android, Flutter
CategoryAutomation IntegrationDatabases
FoundedUnknown2011

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Decodable

  • Managed Flink
  • Change data capture
  • SQL pipelines
  • Custom Flink jobs
  • Credit-based metering
  • Managed connectors

Only in Firestore

  • Document Model
  • Real-time Updates
  • Offline Support
  • ACID Transactions
  • Expressive Queries
  • Multi-region
  • Security Rules
  • Firebase Auth

What people use each for

The jobs each tool is most often brought in to do.

Decodable

  • Streaming Postgres change data capture into Snowflake or Iceberg without running Debezium and Kafka Connect yourselfnot Firestore
  • Real-time enrichment and filtering of event streams before they reach an expensive warehousenot Firestore
  • A team that already writes Flink jobs but does not want to operate the cluster, checkpoint store or upgradesnot Firestore
  • Replacing a fragile set of cron jobs and Lambda functions that move data between operational systemsnot Firestore

Firestore

  • Storing structured application data with realtime listenersnot Decodable
  • Backing mobile and web apps with a serverless document databasenot Decodable
  • Building offline first apps that sync when connectivity returnsnot Decodable

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Decodable

  • Credit pricing rewards intermittent work and penalises always-on pipelines: a single small task running continuously costs roughly 86 US dollars a month before any parallelism.
  • Parallelism multiplies tasks, so scaling a pipeline to keep up with throughput multiplies the bill in a way that is easy to under-forecast at design time.
  • The free tier retains streams for only 24 hours, which is too short to debug an intermittent failure that surfaces days later.
  • Java and Python transformations are gated behind paid plans, so anything the SQL layer cannot express means moving off the free tier immediately.
  • The operational layer is proprietary even though Flink and Debezium are not, so migrating to self-managed Flink later means rebuilding connectors, schema handling and monitoring from scratch.

Firestore

  • The no-cost Spark plan caps Standard edition at 50,000 document reads, 20,000 writes and 20,000 deletes per day
  • The Spark plan caps storage at 1 GiB and network egress at 10 GiB per month
  • Charging is per document read, so a query returning many documents bills for every one of them
  • Going beyond the free thresholds requires the pay as you go Blaze plan billed at Google Cloud rates with no fixed monthly ceiling

Pricing, plan by plan

Decodable

Free
  • FreeFree
    • Up to four concurrent tasks
    • Small and medium task sizes
    • 24 hour or 10 GB stream retention
  • On Demand$undefined/month
    • 0.12 USD per credit, billed monthly
    • Unlimited concurrent tasks
    • Small, medium and large task sizes
  • Enterprise$undefined/year
    • 0.10 USD per credit on pre-purchased annual capacity
    • Custom task sizes
    • Extensible retention

Firestore

Free
  • SparkFree
    • 1GB storage
    • 50K reads/day
    • 20K writes/day
  • BlazeFree
    • Pay as you go
    • Unlimited operations
    • Multi-region

Which should you pick?

Choose Decodable if

  • You need managed flink.
  • You want to start without paying.
  • You work on Web, Linux.
  • You also want change data capture.
Decodable review

Choose Firestore if

  • You need document model.
  • You want to start without paying.
  • You work on Web, Ios, Android, Flutter.
  • You also want real-time updates.
Firestore review

Questions people ask

Is Decodable or Firestore better?
Neither clearly leads. Decodable starts at Free and Firestore at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Decodable or Firestore?
Decodable starts at Free and Firestore at Free.
Does Decodable or Firestore run on more platforms?
Decodable runs on Web, Linux. Firestore runs on Web, Ios, Android, Flutter.
Can I use Decodable for free?
Both have a free tier, so you can try either at no cost before committing.
What is Decodable best used for?
Decodable is most often used for streaming postgres change data capture into snowflake or iceberg without running debezium and kafka connect yourself, real-time enrichment and filtering of event streams before they reach an expensive warehouse, a team that already writes flink jobs but does not want to operate the cluster, checkpoint store or upgrades, replacing a fragile set of cron jobs and lambda functions that move data between operational systems. Of those, streaming postgres change data capture into snowflake or iceberg without running debezium and kafka connect yourself and real-time enrichment and filtering of event streams before they reach an expensive warehouse are not what Firestore is typically brought in for.
What can Decodable do that Firestore cannot?
Decodable covers Managed Flink, Change data capture, SQL pipelines, Custom Flink jobs. Firestore covers Document Model, Real-time Updates, Offline Support, ACID Transactions.

Answered from the vendors’ own pages

Decodable: What is a credit worth?

0.12 US dollars on On Demand and 0.10 on Enterprise. A small task consumes one credit per hour, medium two, large four.

Firestore: What are the free limits on Cloud Firestore?

The Spark Plan includes 1 GiB of stored data, 50,000 reads per day, 20,000 writes per day, and 20,000 deletes per day at no cost.

Source
Decodable: Is there a free plan?

Yes, up to four concurrent tasks with 24 hour or 10 GB stream retention.

Firestore: What happens when I exceed the Spark Plan free tier?

Exceeding the free tier requires upgrading to the Blaze Plan, which bills based on actual usage through Google Cloud pricing. Charges apply for reads, writes, deletes, and data storage.

Source
Decodable: Is it really Apache Flink underneath?

Yes, Flink for processing and Debezium for change data capture, both managed by Decodable.

Firestore: Can I use Firestore without a credit card?

Yes, you can use the Spark Plan indefinitely without a credit card. To use the Blaze Plan (pay-as-you-go), a credit card is required.

Source
Decodable: Can I run my own Flink jobs?

Yes, Java and Python jobs on paid plans; the free plan is SQL only.

Firestore: Is there a trial period for Cloud Firestore?

No trial period is specified. The Spark Plan free tier serves as the trial, with no time limit.

Source
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