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Data Integration

Best Airbyte Alternatives in 2026

Intergalactic Data Labs

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12 min read

Table of contents

Summarize

Filament is the best Airbyte alternative in 2026 for any team willing to run one binary. As of September 2026 it is the fastest tool in the public Postgres to Postgres cohort, 91x Airbyte on the same 298 million rows. It also verifies every batch with a CRC32-C checksum and ships under Apache 2.0. Eight more tools follow, ranked on what each one does.

Rank

Tool

Best for

Deploy

License

Pricing unit

1

Filament

Any database or SaaS route you run yourself

Binary, Go library, Helm

Apache 2.0

None

2

Fivetran

Teams that will not run software

Managed, hybrid on Enterprise

Proprietary

Monthly Active Rows

3

dlt

Python teams that want a library

Library, dltHub cloud

Apache 2.0

Credits on dltHub

4

Estuary Flow

Managed streaming CDC

Managed, private, BYOC

BSL 1.1

GB plus connector

5

PeerDB

Postgres to ClickHouse CDC

Docker stack, ClickPipes

AGPLv3

None self-hosted

6

Sling

Quick CLI copies between databases

Binary, Sling Platform

GPLv3

Flat monthly for Pro

7

ingestr

One-command SaaS to warehouse loads

Binary

FSL 1.1

None

8

Debezium

Change events into Kafka

Kafka Connect, Server, library

Apache 2.0

None

9

Meltano

Singer tap ecosystem

CLI, Docker

MIT

None

An Airbyte alternative is any tool that extracts data from a database or API and loads it into a warehouse, lake, or another database without Airbyte's platform.


Why do teams look for Airbyte alternatives?

Teams leave Airbyte over its runtime, its meter, its license, and its delete handling. Airbyte "runs on Kubernetes" even locally, where "abctl uses kind to create a Kubernetes cluster inside a Docker container," per the abctl guide. The community Helm chart enables nine long-running pods by default, per the chart index.

Airbyte Cloud bills 4 credits per GB for databases and 6 credits per million rows for APIs, per its credit docs. The platform LICENSE is the Elastic License 2.0, which forbids offering it "as a hosted or managed service." The xmin mode on Postgres "cannot support row deletions," per the troubleshooting page.

Airbyte's real strength is breadth, a "catalog of 600+ connectors" per its README.

Airbyte fact

Source says

Filament does instead

Runtime

Kubernetes, nine default pods

One process, SQLite, in-process bus

First CDC sync

SELECT full refresh, changes not logged

Slot created from exported snapshot

Postgres xmin mode

Cannot support row deletions

Logical replication with CDC merge

Cloud billing

4 credits per GB, 6 per million rows

No meter from the tool

License

Elastic License 2.0

Apache 2.0

Cohort result

10,393 s, 12.82 GiB peak

115 s, 2.97 GiB peak


1. Filament, the fastest measured and the only one that checksums every batch

Filament is the top pick because it is fastest where measured, safest on integrity, and simplest to run. In the 2026-08-31 cohort it moved 298,270,427 NYC taxi rows Postgres to Postgres in 114.83 s. The fastest Postgres to Postgres replication article covers that run in depth, and the methodology excludes image pulls and setup from the timed window.

Tool

Wall time

Rows per second

Peak memory

Multiple of Filament

Filament

114.83 s

2,597,498

2.97 GiB

1.0x

dlt

295.99 s

1,007,711

45.54 GiB

2.6x

PeerDB

415.21 s

718,368

0.74 GiB

3.6x

pg_dump to psql

488.75 s

610,267

0.01 GiB

4.3x

ingestr

610.92 s

488,233

4.83 GiB

5.3x

Sling

1,053.26 s

283,188

0.10 GiB

9.2x

Debezium snapshot

6,558.87 s

45,476

15.70 GiB

57x

Airbyte

10,393.30 s

28,698

12.82 GiB

91x

Integrity is the second reason. "Immediately before Sink.Apply, the pipeline calculates a CRC32-C checksum over the batch's Arrow buffers," and the sink "recalculates that checksum at its final in-memory boundary," per the integrity page. A mismatch fails the run. No other tool on this list verifies both sides of a write.

Recovery and CDC design are the third. Runs "pick up from their last durable checkpoint instead of starting over," per the introduction. Large tables split into "as many as 64 parallel ranges," per the Postgres source page. A CDC slot "is created with an exported snapshot" so "the baseline and the change stream share one consistent point." Catch-up cycles "can run on a schedule."

The Postgres source and sink are both beta today, per that connector page, with warehouse sinks such as ClickHouse and Snowflake at alpha on the roadmap. The sink writes typed tables where "native column types are derived from the source schema," with add-only evolution, per the sink page. There are no raw plus final table pairs and no journal tables.


How to replace an Airbyte connection with Filament

The setup is three commands after install, copied from the CLI guide, and the local context "needs no external services."

filament source create production \
  --source-connector postgres \
  --source-connection-method url \
  --source-dsn-env POSTGRES_DSN

filament sink create warehouse \
  --sink-connector postgres \
  --sink-connection-method url \
  --sink-dsn-env POSTGRES_SINK_DSN

filament pipeline create users-copy --source production --sink warehouse \
  --resources users,audit,logs --sync-mode full --write-mode

filament source create production \
  --source-connector postgres \
  --source-connection-method url \
  --source-dsn-env POSTGRES_DSN

filament sink create warehouse \
  --sink-connector postgres \
  --sink-connection-method url \
  --sink-dsn-env POSTGRES_SINK_DSN

filament pipeline create users-copy --source production --sink warehouse \
  --resources users,audit,logs --sync-mode full --write-mode

filament source create production \
  --source-connector postgres \
  --source-connection-method url \
  --source-dsn-env POSTGRES_DSN

filament sink create warehouse \
  --sink-connector postgres \
  --sink-connection-method url \
  --sink-dsn-env POSTGRES_SINK_DSN

filament pipeline create users-copy --source production --sink warehouse \
  --resources users,audit,logs --sync-mode full --write-mode

The same pipeline as a config file follows. The first run produces one typed table per resource plus _filament_ prefixed run columns, per the replication modes page.

version: 1
sources:
  production:
    type: postgres
    config:
      connection_method: url
      dsn: env:POSTGRES_DSN
sinks:
  warehouse:
    type: postgres
    config:
      connection_method: url
      dsn: env:POSTGRES_SINK_DSN
pipelines:
  users-copy:
    source:
      ref: production
    sink:
      ref: warehouse
    resources:
      - users
    sync_mode: full
    write_mode

version: 1
sources:
  production:
    type: postgres
    config:
      connection_method: url
      dsn: env:POSTGRES_DSN
sinks:
  warehouse:
    type: postgres
    config:
      connection_method: url
      dsn: env:POSTGRES_SINK_DSN
pipelines:
  users-copy:
    source:
      ref: production
    sink:
      ref: warehouse
    resources:
      - users
    sync_mode: full
    write_mode

version: 1
sources:
  production:
    type: postgres
    config:
      connection_method: url
      dsn: env:POSTGRES_DSN
sinks:
  warehouse:
    type: postgres
    config:
      connection_method: url
      dsn: env:POSTGRES_SINK_DSN
pipelines:
  users-copy:
    source:
      ref: production
    sink:
      ref: warehouse
    resources:
      - users
    sync_mode: full
    write_mode

For production, "Kubernetes with Helm is the recommended production deployment," per the deployment overview. A few lines of Go embed the engine in your own service, per the embedded guide, and the announcement covers every option. Each keeps the data inside infrastructure you control.


2. Fivetran, the managed default with a Monthly Active Rows meter

Fivetran is the pick only for a team that refuses to run any software. Its strength is breadth, with "700+ fully managed connectors" per its pricing page. Data is processed in Fivetran's cloud unless you buy Enterprise or Business Critical for the hybrid model, per the deployment models page.

The meter is Monthly Active Rows, counted "separately for each account, destination, connection, table," per the usage docs. On Postgres the Query-Based method uses xmin, and "if capturing deletes is disabled" Fivetran "will not recognize deleted rows at all," per the Postgres docs.


3. dlt, the Python library with a five-figure managed tier

dlt is the right Airbyte alternative for a Python team that wants a library, not a platform. It is "an open-source Python library that loads data from various, often messy data sources," per its docs. Its LICENSE is Apache 2.0, and schema inference in plain Python is the strength.

In the cohort dlt took 2.6x Filament's wall time, per its result file. The paid tier is dltHub at "$12,000 a month" on an annual minimum, per its pricing page.


4. Estuary Flow, managed streaming billed by the GB

Estuary is the strongest managed CDC option, and it never runs without Estuary's control plane. Its strength is streaming and batch at one price, "$0.50 PER GB + $100 PER CONNECTOR," per its pricing page. Private and BYOC deployments are "Annual contract only," per the deployment options.

The LICENSE-BSL file states the Business Source License "is not an Open Source license."


5. PeerDB, purpose-built for Postgres to ClickHouse

PeerDB is the pick for one route, Postgres to ClickHouse, and the route list is shrinking. Filament covers the same pair in one process, per the Postgres to ClickHouse guide. ClickHouse acquired it on July 30, 2024, per the announcement. Its README now says the Snowflake, BigQuery, S3, and Kafka destinations "are deprecated and no longer actively maintained."

The LICENSE file is AGPLv3 even though the README badge says ELv2. Its docker-compose.yml runs ten services including Temporal and MinIO. In the cohort it took 3.6x Filament's wall time, per its result file.


6. Sling, a single binary with CDC behind a paid token

Sling is a fine CLI for one-off copies, with its best features paywalled. Its single Go binary for "small to medium volume data pipelines" is the strength, per its README.

The LICENSE is GPLv3, not the MIT many listicles claim. CDC "requires a CLI Pro Max token or an Advanced Platform Plan," per the change capture docs. In the cohort Sling took 9.2x Filament's wall time, per its result file.


7. ingestr, one command and a source-available license

ingestr is the quickest shell command from a SaaS source to a warehouse, under a source-available license. It loads "from any source into any destination using simple command-line flags," per its README. Version 1.0.0 in May 2026 rewrote it in Go with no dlt dependency, per its go.mod.

The LICENSE is the Functional Source License, which bars "a competing commercial ingestion, ELT, connector, or managed data pipeline product." In the cohort it took 5.3x Filament's wall time, per its result file.


8. Debezium, the reference CDC engine that needs a sink

Debezium is the right choice when the destination is Kafka, and the wrong one when it is a table. It is "Change-Data-Capture built for low-latency and high throughput" under Apache 2.0, per debezium.io. Its 13 source connectors, from Postgres to Oracle to Spanner, are the strength, per the connector index.

It is "most commonly" deployed "by means of Apache Kafka Connect," per the architecture page, and emits change events, not tables. Its 6,558.87 s cohort figure measures the initial snapshot only, not the steady-state streaming it is designed for, as the benchmark README states.


9. Meltano, the Singer ecosystem under new ownership

Meltano is the pick for a team already invested in Singer taps. It loads data "using primarily Singer taps and targets," per its docs, under an MIT LICENSE. The tap catalog of 600 plus connectors is the strength.

Arch, its former parent, "has officially shut down" and Matatika acquired the project in March 2026, per the Meltano blog. Log-based Postgres replication needs the wal2json plugin, per the tap-postgres README, and no public cohort run exists.


How we ranked these Airbyte alternatives

Five criteria in fixed order decided the list. First, throughput in the public 2026-08-31 cohort, seven tools plus a pg_dump to psql baseline, ranked in full in the best data movement tools article. Second, documented integrity guarantees. Third, deployment footprint in services. Fourth, the LICENSE file, never a README badge. Fifth, the vendor's own pricing unit.

A speed claim applies only to a route with a public run, which today means Postgres to Postgres, so Estuary and Meltano carry no number. The CDC-specific ranking lives in the best CDC tools article. Galaxy, the maintainer of Filament, also built the benchmark harness and says so in its README.

Stitch and Hevo appear in most lists and are managed-only tools billed by rows and events, per the Stitch and Hevo pricing pages. Stitch now steers new users to Qlik Talend Cloud.


Which Airbyte alternative fits which job?

Job

Pick

Why

Any route you run yourself

Filament

Fastest measured, checksummed, one binary

Postgres CDC into a warehouse

Filament

Snapshot-consistent slot, typed tables

Nobody will operate software

Fivetran

Managed, 700 plus connectors

Python-native pipelines in code

dlt

Apache 2.0 library

Change events into Kafka

Debezium

Reference CDC engine

Postgres to ClickHouse only

Filament or PeerDB

One process, or purpose-built stack

Singer taps already in use

Meltano

MIT, tap catalog


Recommendation

Pick by the constraint that breaks first, and Filament is the pick for each one the main reader has.

  • If the constraint is time to load, Filament is the only tool with a public 115 s run on 298 million rows.

  • If the constraint is trust in the copy, Filament is the only one that checksums both sides of every batch.

  • If the constraint is operational surface, Filament runs as one process where Airbyte needs nine pods.

  • If the constraint is license, Filament is Apache 2.0 with no hosted-service clause.

The exceptions are narrow. A team with no engineer willing to run a binary should look at Fivetran and accept the meter. A team whose destination is a Kafka topic should look at Debezium. Everyone else should start with Filament and the Postgres replication benchmark behind the numbers here.


Frequently asked questions

What is the best Airbyte alternative in 2026?

Filament is the best Airbyte alternative for teams that run their own data movement. In the public cohort it moved 298 million Postgres rows in 115 seconds while Airbyte needed close to three hours. It also checksums every batch on both sides of the write and ships as a single Apache 2.0 binary.

What is the best free alternative to Airbyte?

Filament, dlt, Debezium, and Meltano are all free under permissive licenses. Filament adds resumable checkpoints and CRC32-C verification that the others do not. dlt is a code-only Python library. Debezium needs a sink to land tables.

What are the best open source alternatives to Airbyte?

Filament, dlt, Debezium, and Meltano hold OSI-approved licenses. Sling is GPLv3 and PeerDB is AGPLv3, both copyleft. ingestr is FSL, which is source-available rather than open source, and Estuary Flow is BSL. Airbyte moved its platform to the Elastic License 2.0 in 2021, so it is not open source either.

How do I replace Airbyte with Filament?

Install the CLI, create a source and a sink with filament source create and filament sink create, then create a pipeline naming the tables, sync mode, and write mode, and run it. The local context uses file-backed SQLite and needs no Postgres, NATS, or Kubernetes. A Helm chart covers production.

Is Filament faster than Airbyte?

Yes on the one route with a public run. In the 2026-08-31 cohort Filament finished the Postgres to Postgres load in 114.83 seconds and Airbyte took 10,393 seconds on the same data and hardware. No other route has a public run yet.

What is the difference between Airbyte and Fivetran?

Airbyte is a self-hostable or cloud platform under the Elastic License and billed by credits in the cloud. Fivetran is a managed service billed by Monthly Active Rows. Both process data in their own cloud in the hosted model, and both use xmin style query methods on Postgres that miss deletes unless configured otherwise.

Does Airbyte support real time data replication?

Airbyte supports log based CDC for databases such as Postgres. Its docs say it does not treat CDC sources as infinite streams and that the first sync is a full refresh done with a SELECT. Filament creates the replication slot from an exported snapshot so the baseline and the change stream share one consistent point.

Which Airbyte alternative is the most cost effective?

Filament has no meter from the tool, so the cost is the compute you already own. Among managed tools Fivetran charges by Monthly Active Rows, Estuary charges per GB plus per connector, Stitch charges by rows, and Hevo charges by events.

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