Postgres to Snowflake Replication Without Kafka or Airflow

Replicating data from PostgreSQL to Snowflake is a common requirement for teams building analytics platforms, reporting systems, and data warehouses. However, keeping the two systems synchronized can become complicated when data changes frequently.

Traditional data pipelines often rely on tools such as Kafka, Debezium, and Airflow to capture, transport, and orchestrate database changes. While these tools offer flexibility, they also introduce additional infrastructure, configuration, and operational overhead.

For teams that want to replicate an existing PostgreSQL database into Snowflake without managing a Kafka cluster or Airflow DAGs, managed Change Data Capture (CDC) services offer a simpler alternative.

In this guide, we'll compare seven tools for PostgreSQL-to-Snowflake replication, including Estuary, Fivetran, Airbyte, Striim, Artie, Snowflake Openflow, and Snowflake Postgres data mirroring. We'll examine their CDC capabilities, Snowflake write paths, delete handling, freshness, pricing models, and limitations.

Can You Replicate PostgreSQL to Snowflake Without Kafka or Airflow?

Yes. A managed CDC service can capture PostgreSQL changes and deliver them to Snowflake without requiring you to deploy and maintain Kafka, Debezium, or Airflow.

PostgreSQL supports logical replication through its Write-Ahead Log (WAL). CDC connectors use this mechanism to capture database changes, including inserts, updates, and deletes, and send them to a destination.

A typical managed replication pipeline looks like this:

PostgreSQL → CDC Connector → Managed Data Pipeline → Snowflake

The main advantage is that the replication service handles change capture and delivery, eliminating the need to maintain separate infrastructure for message streaming and workflow orchestration.

However, not every PostgreSQL-to-Snowflake integration works with an existing external PostgreSQL database. Snowflake's native data mirroring, for example, is designed specifically for Snowflake Postgres.

Understanding this distinction is important when selecting a tool.

How We Selected These PostgreSQL-to-Snowflake Tools

We compared seven tools based on six requirements relevant to teams that want to avoid Kafka and Airflow.

1. PostgreSQL source support

The tool must support an existing PostgreSQL database, whether self-hosted or running on a major cloud platform. Version requirements also matter. For example, Estuary supports PostgreSQL 10.0 and later, while Snowflake Openflow requires PostgreSQL 11 or later.

2. Managed operation

The objective is to reduce infrastructure management. We considered whether the service handles CDC and data delivery without requiring teams to operate their own Kafka cluster, connector deployment, or orchestration DAG.

3. Snowflake write path

We examined how each tool delivers data to Snowflake. Some use staged loads, others support Snowpipe Streaming, and some apply changes through SQL operations.

4. Delete handling

Capturing inserts and updates is not enough. We also considered how tools handle deleted records and whether they support soft deletes, hard deletes, or operations such as TRUNCATE.

5. Data freshness

Replication frequency directly affects how current the Snowflake data remains. We compared configurable sync schedules, advertised latency, and available low-latency ingestion options.

6. Pricing transparency

We considered whether vendors publish pricing and how they charge for replication, including data volume, monthly active rows, connector instances, or compute capacity.

7 Tools to Replicate PostgreSQL to Snowflake Without Kafka or Airflow

1. Estuary

https://estuary.dev/

Estuary is a strong option for replicating an existing PostgreSQL database into Snowflake without deploying Kafka or Airflow.

Its PostgreSQL capture connector continuously reads source changes using CDC and writes them into Estuary collections. The Snowflake materialization then delivers those collections to destination tables.

For standard updates, Estuary stages changes before applying them transactionally. For delta-update bindings, it also supports Snowpipe Streaming.

You can follow the PostgreSQL-to-Snowflake setup tutorial to configure the pipeline.

Key capabilities:

• Continuous PostgreSQL CDC.
• Automatic schema evolution.
• One capture can feed multiple destinations without rereading the source.
• Standard updates through staged transactional loads.
• Snowpipe Streaming support for delta bindings.
• Configurable Snowflake synchronization frequency.

For teams that need to balance data freshness and warehouse costs, Estuary allows the Snowflake materialization's Sync Frequency to be configured to 0s. This removes the scheduled waiting period. Snowpipe Streaming provides its lowest-latency Snowflake loading path for delta bindings.

Pricing:

As of October 2026, Estuary's Cloud plan charges:

• $0.50 per GB of data moved.
• $100 per connector instance per month for the first six instances.
• $50 per month for each additional connector instance.

Its free Developer tier includes 10 GB of combined captured and delivered data per month and two connector instances.

Limitations:

Estuary's PostgreSQL connector supports PostgreSQL 10.0 and later. Teams running PostgreSQL 9.x or earlier will need to upgrade or consider another option.

Best for: Teams that need continuous CDC from an existing PostgreSQL database, configurable Snowflake delivery, and a managed alternative to Kafka and Airflow.

2. Fivetran

https://www.fivetran.com/

Fivetran provides a managed PostgreSQL connector that replicates database data into Snowflake.

Its PostgreSQL connector captures source data, while its Snowflake destination connector handles delivery to the warehouse.

Fivetran is a suitable option for teams that want managed database replication without operating their own CDC infrastructure.

Key capabilities:

• Managed PostgreSQL replication.
• Snowflake destination support.
• SQL MERGE operations for applying changes to Snowflake tables.
• Standard and Enterprise sync-frequency options.

Pricing:

Fivetran uses monthly active rows (MAR) for connection billing.

As of October 2026:

• The free plan covers 500,000 monthly active rows for connections.
• Standard connections between 1 and 1 million monthly active rows have a $5 base charge.
• Standard includes 15-minute syncs.
• Enterprise adds 1-minute syncs.

Enterprise database connectors are available through the Enterprise plan.

Limitations:

Teams requiring sub-15-minute freshness may need to move beyond the Standard plan to Enterprise or Business Critical.

Best for: Teams that prefer managed replication and whose freshness requirements and monthly active row volumes fit Fivetran's pricing structure.

3. Airbyte

https://airbyte.com/

Airbyte provides PostgreSQL source and Snowflake destination connectors for database replication.

Its PostgreSQL source supports CDC through logical replication and also supports replication using PostgreSQL's xmin system column.

For PostgreSQL databases larger than 500 GB, Airbyte recommends logical replication.

The Snowflake destination connector handles delivery to the warehouse. Starting with version 5.0.0, username-and-password authentication for the Snowflake destination is deprecated.

Airbyte also uses PostgreSQL WAL-based logical replication to capture delete operations.

Key capabilities:

• PostgreSQL CDC support.
• Logical replication and xmin-based replication.
• Snowflake destination connector.
• Managed Cloud deployment options.
• Delete capture through logical replication.

Pricing:

Airbyte offers different Cloud pricing structures:

• Standard uses a fully managed, volume-based pricing model.
• Pro and Enterprise Flex plans use Data Worker capacity for pricing.

Limitations:

Airbyte's CDC caching layer is incompatible with certain Aurora configurations where that layer cannot be disabled. Teams using Aurora should verify compatibility before selecting this approach.

Best for: Teams looking for managed PostgreSQL-to-Snowflake replication with volume-based or capacity-based Cloud pricing.

4. Striim

https://www.striim.com/

Striim provides PostgreSQL CDC capabilities through its PostgreSQL Reader and supports Snowflake as a destination through its Snowflake Writer.

One notable capability is support for capturing PostgreSQL TRUNCATE operations when using wal2json version 2.

This can be useful for workloads where table truncation is part of the source database workflow.

Key capabilities:

• PostgreSQL CDC through its Reader.
• TRUNCATE capture with wal2json version 2.
• Snowflake Writer support.
• Snowpipe Streaming support.
• Support for staging events to local storage, Amazon S3, or Azure Storage.

The Snowflake Writer stages events to local storage, S3, or Azure Storage unless Snowpipe Streaming is enabled. Teams should verify that their PostgreSQL Reader and Snowflake Writer configurations support the required event propagation.

Pricing:

• Striim Developer is free for up to 25 million events per month.
• Striim Cloud pricing is available through its sales team.

As of October 2026, Striim does not publish a standard Cloud pricing rate.

Limitations:

Teams looking for transparent, published Cloud pricing may find it difficult to estimate costs without requesting a quote. The Developer allowance is measured in events rather than bytes, so event volume needs to be estimated separately.

Best for: Teams that need PostgreSQL TRUNCATE capture and can use Striim's supported PostgreSQL Reader and Snowflake Writer configuration.

5. Artie

https://www.artie.com/

Artie is a CDC replication platform that supports PostgreSQL and Snowflake.

Its PostgreSQL connector list includes several managed database services, such as:

• Amazon Aurora.
• Amazon RDS.
• Google Cloud SQL.
• Supabase.

Snowflake is also included among its supported destinations.

Artie advertises sub-minute replication latency and exactly-once delivery, making it an option for teams that prioritize data freshness.

Key capabilities:

• PostgreSQL CDC support.
• Support for several managed PostgreSQL services.
• Snowflake destination support.
• Advertised sub-minute latency.
• Advertised exactly-once delivery.

Pricing:

As of October 2026:

• The free plan covers up to 1 million billable rows per month.
• Growth starts at $500 per month with an annual contract.
• Growth costs $600 per month on a month-to-month basis.
• Enterprise pricing is available through a quote.

Limitations:

Teams that need paid Growth features, such as proactive monitoring or single sign-on, must account for the plan's minimum cost.

Best for: Teams that need sub-minute CDC replication and support for managed PostgreSQL services such as Aurora, RDS, Cloud SQL, or Supabase.

6. Snowflake Openflow

https://www.snowflake.com/

Snowflake Openflow provides a native integration option for replicating PostgreSQL data into Snowflake.

Its PostgreSQL connector supports near-real-time or scheduled replication of selected tables. It also maintains a log of data changes alongside the current table state.

Openflow is built on Apache NiFi and provides a Snowflake-managed integration option, although its deployment and infrastructure requirements differ from fully managed third-party services.

Key capabilities:

• PostgreSQL-to-Snowflake replication.
• Near-real-time or scheduled updates.
• Change logs alongside current table state.
• Native Snowflake integration.

Requirements and limitations:

• Requires PostgreSQL 11 or later.
• Supports only username-and-password authentication with PostgreSQL.
• Tables without a supported identity key replicate inserts only.
• Ignores source TRUNCATE statements.
• BYOC deployments are limited to AWS Commercial Regions.

Before using Openflow for a production workload, confirm that the source tables have the required identity keys if updates and deletes need to be replicated.

Pricing:

Snowflake bills Openflow BYOC compute per second, with a 60-second minimum.

Best for: Teams that want a Snowflake-native integration for external PostgreSQL databases and can meet its version, authentication, and deployment requirements.

7. Snowflake Postgres Data Mirroring

https://docs.snowflake.com/en/user-guide/snowflake-postgres/postgres-data-mirroring

Snowflake Postgres data mirroring is different from the other options in this comparison.

It is designed to replicate tables from Snowflake Postgres into a Snowflake analytics database. Snowflake Postgres is a service where customers create and manage PostgreSQL instances directly within Snowflake.

This means it is not a general-purpose replication solution for an existing PostgreSQL database hosted outside Snowflake.

Key capabilities:

• Continuous replication from Snowflake Postgres.
• No external CDC service to deploy.
• Serverless apply.
• A $live view containing changes that have not yet been merged.
• A seven-day change feed for inserts, updates, and deletes.

The $live view has an approximately 30-second lag. The change feed can be queried from both Snowflake and Postgres.

Pricing:

Snowflake bills the apply using its standard serverless task rate.

Limitations:

• Supports Snowflake Postgres as the source, not arbitrary external PostgreSQL databases.
• Available in AWS and Azure regions where Snowflake Postgres is supported.
• Mirrors cannot cross accounts, regions, or clouds.

Best for: Teams already using Snowflake Postgres that want continuous replication into a Snowflake analytics database without deploying an external CDC service.

PostgreSQL-to-Snowflake Replication Tools Compared

The following table summarizes the main differences between the seven options.

Pricing and plan information is based on published vendor details as of October 2026. Actual costs depend on usage, configuration, and applicable plan terms.

How to Choose a PostgreSQL-to-Snowflake Replication Tool

The right tool depends primarily on where your PostgreSQL database runs, how frequently Snowflake needs to receive changes, and how you want to manage replication costs.

Here are a few practical considerations.

Choose Snowflake Postgres data mirroring if:

Your source database is already running on Snowflake Postgres and you want replication into a Snowflake analytics database without deploying an external CDC service.

Choose Estuary if:

You have an existing PostgreSQL database and want managed CDC with configurable Snowflake delivery, without operating Kafka or Airflow.

You can set the Snowflake materialization's Sync Frequency to 0s to remove scheduled waiting time. For delta-update bindings, Snowpipe Streaming provides the connector's lowest-latency loading option.

Choose Fivetran if:

Your workload fits its monthly active row pricing and the Standard plan's 15-minute sync frequency is sufficient.

Choose Airbyte if:

You want PostgreSQL CDC and Snowflake destination support with volume-based or capacity-based Cloud pricing.

Choose Striim if:

Your workflow needs PostgreSQL TRUNCATE capture and its supported Snowflake Writer configuration meets your requirements.

Choose Artie if:

You prioritize its advertised sub-minute latency and need support for managed PostgreSQL services such as Aurora, RDS, Cloud SQL, or Supabase.

Choose Snowflake Openflow if:

You want a Snowflake-native option for an external PostgreSQL database and your source meets its PostgreSQL version, authentication, and deployment requirements.

Before committing to a tool, document these four things:

1. Source type: Self-hosted PostgreSQL, RDS, Aurora, Cloud SQL, Supabase, or Snowflake Postgres.
2. Freshness requirement: Scheduled replication, 15-minute syncs, or sub-minute delivery.
3. Data volume: Expected monthly data captured and delivered.
4. Change operations: Whether the pipeline must support inserts, updates, deletes, and TRUNCATE.

Also, test your largest source table and verify that all required changes reach Snowflake correctly. If your application uses TRUNCATE, test that operation separately rather than assuming it behaves like a series of individual deletes.

FAQ

1. Can you replicate PostgreSQL to Snowflake without Kafka?

Yes. Managed CDC services can capture PostgreSQL changes and deliver them to Snowflake without requiring a separately managed Kafka cluster.

For example, Estuary's PostgreSQL connector captures changes into collections, and its Snowflake materialization delivers those changes to destination tables.

Estuary supports PostgreSQL 10.0 and later on major cloud platforms and self-hosted instances.

2. Do you need Airflow for PostgreSQL-to-Snowflake replication?

No. Airflow is an orchestration tool, not a requirement for CDC-based replication.

Managed services such as Estuary handle change capture and delivery through their own pipeline configurations. Snowflake Openflow also supports near-real-time or scheduled replication, while Snowflake Postgres mirroring runs within Snowflake.

3. Is Snowflake data mirroring available for any PostgreSQL database?

No. Snowflake data mirroring is designed specifically for Snowflake Postgres.

It continuously replicates tables from Snowflake Postgres into a Snowflake analytics database. If your PostgreSQL database runs externally, such as on Amazon RDS, Aurora, or a self-hosted server, you need a compatible external CDC connector.

Snowflake Postgres mirroring is available in supported AWS and Azure regions, and mirrors cannot cross accounts, regions, or clouds.

4. What is the fastest way to replicate PostgreSQL to Snowflake?

The answer depends on where the source database runs.

For Snowflake Postgres, the $live view exposes pending changes with an approximately 30-second lag.

For an external PostgreSQL database, Estuary is an option. You can configure its Snowflake materialization's Sync Frequency to 0s to remove scheduled waiting time. For delta-update bindings, Snowpipe Streaming provides its lowest-latency Snowflake loading path.

Actual end-to-end latency depends on the workload, processing, and ingestion configuration, so validate performance against your own freshness requirements.

5. How much does PostgreSQL-to-Snowflake replication cost?

Costs vary depending on the tool's pricing model and the amount of data being replicated.

For example, Estuary's Cloud pricing as of October 2026 is $0.50 per GB of data moved, plus connector-instance fees.

Consider a workload that captures 100 GB from PostgreSQL and delivers 100 GB to Snowflake. That produces 200 billed GB, costing $100. Two connector instances running for a full month add $200, bringing the estimated recurring pipeline charge to approximately $300.

Artie's Growth plan starts at $500 per month with an annual contract or $600 month to month, as of October 2026.

These figures exclude Snowflake storage and compute, as well as other applicable charges. Confirm vendor pricing and usage allowances before comparing final costs.

6. Should you use Snowflake Openflow or PostgreSQL data mirroring?

Use Snowflake Openflow when replicating an external PostgreSQL database that meets its PostgreSQL 11 or later requirement and supports its username-and-password authentication requirement.

Use Snowflake Postgres data mirroring when your source is already running on Snowflake Postgres and you want to replicate its tables into a Snowflake analytics database.

The two options serve different source environments, so the choice depends on where your PostgreSQL database is hosted.

Conclusion

Replicating PostgreSQL to Snowflake no longer requires every team to maintain a separate Kafka cluster, Debezium deployment, and Airflow orchestration layer.

Managed CDC services provide an alternative by handling change capture and destination delivery within a managed pipeline.

Estuary is a strong choice for existing PostgreSQL databases that need continuous CDC and configurable Snowflake delivery. Fivetran, Airbyte, Striim, and Artie offer alternative managed approaches with different pricing models and operational capabilities. Snowflake Openflow provides a native integration option for external PostgreSQL databases, while Snowflake Postgres data mirroring is specifically designed for databases hosted within Snowflake.

The best choice ultimately depends on your source environment, freshness requirements, change-handling needs, and expected data volume. Evaluate those requirements before selecting a replication tool, and test inserts, updates, deletes, and any TRUNCATE operations your application relies on.