Pricing

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Subgraphs

We track usage based on two metrics: (1) the number of active subgraphs, and (2) the amount of data stored across all subgraphs in your project.

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Metering

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Active Subgraphs

The number of active subgraph workers, tracked hourly. If you pause or delete a subgraph, it is no longer billed.

Examples:

1. If you have 10 active subgraphs, you use 10 subgraph worker hours per hour. At 730 hours per month, you incur 7,300 subgraph worker hours.
2. If you begin a period with 10 active subgraphs and delete all of them halfway through the period, you are billed the equivalent of 5 subgraphs for that period.

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Subgraph Entities Stored

The number of entities stored across all subgraphs in your project, tracked hourly. If you delete a subgraph, stored entities are no longer tracked. All entities in a project count toward the project’s usage on a cumulative basis.

Examples:

1. If you have 3 active subgraphs that cumulatively store 30,000 entities, you use 30,000 subgraph entity storage hours per hour.

   At 730 hours per month, you incur 30,000 * 730 = 21,900,000 subgraph entity storage hours in that month.

2. If you begin a period with 3 active subgraphs, each with 10,000 entities, and you delete 2 of them after 10 days, you use 30,000 entity subgraph hours for the first 10 days, then 10,000 entity subgraph hours thereafter.

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Starter Plan

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Active Subgraphs

Up to 3 active subgraphs per month.

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Subgraph Storage

Up to 100,000 entities stored per month.

You incur usage for each hour that each subgraph in your project is deployed and active. If you have 2 subgraphs deployed and active for 2 hours each, you will accumulate 4 hours of usage.

When you exceed Starter Plan usage limits, subgraph indexing will be paused, but subgraphs will remain queryable.

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Scale Plan

Active Subgraphs (subgraph worker-hours)
First 2,250 worker-hours	Free (i.e., 3 always-on subgraphs)
Above 2,250 worker-hours	$0.05/hour (i.e., ~$36.50/month/additional subgraph)

Subgraph Storage (subgraph entity storage-hours)
First 100k entities stored (i.e., up to 75,000,000 storage-hours)	Free
Up to 10M entities stored (i.e., up to 7.5B storage-hours)	~$4.00/month per 100k entities stored (i.e., $0.0053 per 100k entities stored/hour)
Above 10M entities stored (i.e., >7.5B storage-hours)	~$1.05/month per 100k entities stored (i.e., $0.0014 per 100k entities stored/hour)

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Mirror

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Metering

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Active Pipeline Workers

The number of active workers, billed hourly. Pipeline resources can have multiple parallel workers, and each worker incurs usage separately.

Resource Size	Workers
small (default)	1
medium	4
large	10
x-large	20
xx-large	40

If you have one small pipeline and one large pipeline each deployed for 2 hours, you will accumulate 1*2*1 + 1*2*10 = 2 + 20 = 22 hours of usage.

Note: Pipelines that use a single subgraph as a source, and webhooks or GraphQL APIs as sink(s), are not metered as pipelines. However, you still accumulate hourly subgraph usage.

Examples:

1. If you have 1 small pipeline, you use 1 pipeline worker-hour every hour. At 730 hours in the average month, you would incur 730 pipeline worker-hours for that month.
2. If you start with 10 small pipelines in a billing period and delete all of them halfway through the billing period, you are charged the equivalent of 5 pipeline workers for the full billing period.
3. If you have 2 large pipelines, you will be using 20 pipeline worker-hours every hour, equating to 14,600 pipeline worker-hours if you run them the entire month.

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Pipeline Event Writes

The number of records written by pipelines in your project. For example, for a PostgreSQL sink, every row created, updated, or deleted, counts as a ‘write’. For a Kafka sink, every message counts as write.

Examples:

1. If you have a pipeline that writes 20,000 records per day for 10 days, and then 20 records per day for 10 days, you will be using 200,200 pipeline event writes.
2. If you have two pipelines that each write 1 million events in one month, then you are not charged for the first one million events, but you are charged $1 for the next one million, as per the Starter Plan limits below.

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Starter Plan

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Active Pipeline Workers

Each billing cycle, you can run 1 small pipeline free of charge (~730 pipeline worker-hours).

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Pipeline Event Writes

You can write up to 1 million events to a sink, cumulatively across all pipelines, per billing cycle.

When you exceed Starter Plan limits, pipelines will be paused, but pipelines will remain queryable.

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Scale Plan

You will incur usage for each hour that each pipeline in your project is deployed and active.

Note: The pipeline resource size maps to the underlying VM size and acts as a multiplier on hourly usage.

Active Pipelines (pipeline worker-hours)
First 750 worker-hours	Free (i.e., 1 always-on pipeline worker/month)
751+ worker-hours	$0.10 (i.e., $73.00/month per worker)

Pipeline Throughput (pipeline events written)
First 1M events written	Free
Up to 100M events written	$1.00 per 100,000 events
Above 100M events written	$0.10 per 100,000 events

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Hosted databases (Beta)

The first hosted database we are shipping is Postgres. During the Beta period, Scale plan customers can use hosted Postgres free of charge. After that, we will turn on meterd billing. You can find the pricing details below.

We track usage based on two metrics: (1) the amount of total storage used, and (2) the amount of compute time (memory and CPU) used across all databases. Note that during the Beta periods, we will not be charging for hosted databases.

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Metering

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Storage - Total storage used

We bill for database storage based on the average amount of storage you use during your monthly billing cycle. This means you’re only charged for the actual amount of storage you’ve used—averaged across the entire month.

Example

1. Let’s say you start your subscription and add 3.3 GB of new data every day for 30 days across all your databases. Here’s how your usage looks:

   • Day 1: 3.3 GB
   • Day 2: 6.6 GB
   • Day 3: 9.9 GB
   • …
   • Day 30: 99 GB

   Over the 30-day billing period, your total daily storage usage adds up to 1,534.5 GB-days.

   To find the monthly average, we divide by 30:

   1,534.5 GB-days ÷ 30 days = 51.15 GB

   So at the end of your billing cycle, you’d be charged based on 51.15 GB of average storage.

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What is a GB-day?

A GB-day (gigabyte-day) is a simple way to represent how much storage you used, and for how long.

Think of it like this:

• If you use 1 GB of storage for 1 day, that’s 1 GB-day.
• If you use 3.3 GB for 1 day, that’s 3.3 GB-days.
• If you use 3.3 GB for 2 days, that’s 6.6 GB-days.

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Utilization - Amount of compute time

The total amount of active CPU hours used by all databases * number of vCPUs used. This is tracked hourly. If you delete or pause a pipeline that uses a hosted Postgres database, the database will transition to idle mode and you won’t incur utilization charges during that time.

Note that if you query the database from an external source, like a DB visualization tool, you will be charged for utilization since the database is actively being queried.

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There are two options

• Auto-scaling VCUS (recommended): You’ll be able to set a min and max number of VCUs. You’ll be charged a variable hourly rate depending on how much time is spent in each VCU range.
• Fixed VCUs: You’ll be charged a fixed price per compute hour at the VCU multiple you set.

WE WILL BE LAUNCHING WITH AUTOSCALING FOR THE BETA PERIOD.

Example

1. If you have 2 active databases using a fixed 2 VCUs running for 12h a day. You’ll be billed as follows: 2 VCUs × 12 h / day × 30 days = 720 compute‑hours.

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Starter Plan

Hosted databases are only available on Scale plans. You’ll need to sign up for a Scale plan in order to use them.

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Scale Plan

Dimension	Unit	Price per unit
Storage	1 GB	1GB free, $1.50 per GB, per month. Measured hourly in GB-hours.
Utilization	1 Compute Hour	$0.16 per vCPU, per month
Databases	No charge per additional DBs set up.	Free