Replace Stitch and Move Data Faster with Airbyte

Airbyte is the #1 platform for your Data AI use cases

"Predictable, straightforward pricing model that simplified budgeting and significantly reduced overall spend."

Raman Singh

Tech Lead at Symend

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An Airbyte team member will reach out to discuss your needs.

What data leaders say about us

75% of customers increased profitability

"Airbyte allows us to stay flexible while scaling from hundred-million to billion-dollar enterprise clients."

Franziska Ibscher

Product Manager at Drivepoint

Skip Infra, Ship Faster

“Airbyte saved us years, freeing us to focus on user value, not infra.”

Chase Zieman

Chief Data Officer

Symend Saved $900K/Year

“It's a huge win for our organization because it's basically a huge optimization opportunity for us in terms of cost and performance.”

Raman Singh

Data Architect

1,089,368

Pipeline jobs in the last 24 hours

18%

F500 companies use Airbyte

25,000+

Active community members

10,000+

Daily active companies

Why Choose Airbyte Over Stitch Data?

See how Airbyte stacks up against Stitch in terms of vision, use cases, connectors, deployment models, pricing, AI pipelines, and more.


Focus	Data movement (including AI support), governance.	Data ingestion, ELT.
Pricing	Cost effective Capacity-based pricing for Enterprise & Team versions and Volume-based pricing for Cloud edition.	Volume-based pricing with new added or edited rows.
Sources	600+ pre-built customizable connectors for both structured and unstructured sources.	130+ connectors for structured data only.
Destinations	All data warehouses, lakes, databases, vector databases, LLMs, RAG and more.	All major data warehouses, lakes and databases.
Database replication	Full table and incremental via change data capture. Pricing adapted for this use case.	Full table and incremental via change data capture. Pricing is indexed on rows.
Integration with data stack	Kubernetes, Airflow, Prefect, Dagster, dbt, LangChain, LlamaIndex, OpenAI, Cohere.	No.
Support SLAs	Available.	Available.
Security certifications	SOC 2, ISO 27001, GDPR, HIPAA Conduit	HIPAA, GDPR, SOC 2
Vendor lock-in	Airbyte Core and Connectors are open-source.	Annual contracts. Can leverage Singer’s open-source connectors when used (but connectors are of low quality).
Purchase Process	Self-service or sales for Airbyte Cloud. Open-source edition deployable in minutes.	Self-service or sales.
Customizability of connectors	User can edit any pre-built connectors and build new ones within minutes with Airbyte’s AI Connector Builder.	Stitch’s Import AI enables their users to push data from anywhere to their destination.
API	Available through Airbyte Cloud and Airbyte’s open-source edition.	Available.
Flexibility to Develop Python Data Pipelines	Available through PyAirbyte open-source library.	No.

Airbyte is the leading open data movement platform for the new AI revolution, while Stitch Data is the closed-source managed ETL solution for the modern data stack.

Why Airbyte is better than Stitch?

Benefits/USPs:

Modern GenAI workflows:

Streamline AI workflows with Airbyte: load unstructured data into vector stores like Pinecone, Weaviate, and Milvus. Supports RAG transformations with LangChain chunking and embeddings from OpenAI, Cohere, etc., all in one operation.

An Extensible Open-Source Standard

More than 1,000 developers contribute to Airbyte’s connectors, different interfaces (UI, API, Terraform Provider, Python Library), and integrations with the rest of the stack. Airbyte’s Connector Builder lets you edit or add new connectors in minutes.

Full Control & Security

Airbyte secures your data with cloud-hosted, self-hosted or hybrid deployment options. Single Sign-On (SSO) and Role-Based Access Control (RBAC) ensure only authorized users have access with the right permissions. Airbyte acts as a HIPAA conduit and supports compliance with CCPA, GDPR, and SOC2.

Capacity-Based Pricing Model

Capacity-based pricing is based on allocated compute capacity (e.g., credits or resource units), which is easier to forecast and budget. Teams can plan ahead based on capacity requirements, avoiding unexpected overages.