About the services
About Airbyte
Airbyte is the leading open data movement platform, created in July 2020. Airbyte offers more than 350 data connectors in its marketplace, with over 7,000 companies using it to sync data daily. In an AI world with an ever-growing list of data sources, Airbyte positions itself as the only futureproof solution. It offers extensibility through Connector Builder and a marketplace, supports unstructured sources and vector database destinations, and allows both self-hosted and cloud-hosted options.
About Singer
Singer is an open-source JSON-based ETL framework. It was introduced in 2017 by Stitch (which was acquired by Talend in 2018) as a way to offer extendibility to the connectors they had pre-built. Talend has unfortunately stopped investing in Singer’s community and providing maintenance for the Singer’s taps and targets, which are increasingly outdated.
Focus
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Data movement (including AI support), governance.
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Data ingestion, ELT.
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Sources
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350+ pre-built customizable connectors for both structured and unstructured sources.
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More than 110 after 5 years, but mostly deprecating in quality.
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Destinations
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Data warehouses, lakes, databases, 10+ vector databases, LLMs, RAG and more.
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10 targets only, with all major data warehouses, lakes and databases missing.
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Customizability of connectors
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Edit any connectors and build new ones within minutes through Airbyte’s Connector Builder (low-code, no-code, AI-powered)..
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User can edit any pre-built Singer taps and targets, but there is no standardization, and they need a lot of engineering work to be functional.
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Database replication
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Full table and incremental via change data capture.
Pricing adapted for this use case.
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No
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Integration with data stack
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Integrate deeply with Kubernetes, Airflow, Prefect, Dagster, and dbt.
Airbyte will soon integrate with Great Expectations, and more. Integrations can be contributed by the community.
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No
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Support SLAs
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Available
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No
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Security certifications
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SOC 2, ISO 27001, GDPR
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No
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Vendor lock-in
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Airbyte Core (ELv2) and Connectors (MIT) are open source.
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Singer is AGPL.
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Purchase process
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Self-service or sales for Airbyte Cloud.
Open-source edition deployable in minutes.
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N/A.
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Pricing
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Volume-based pricing. Credits are rolled over.
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N/A
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API
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Available through Airbyte Cloud and Airbyte’s open-source edition.
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No
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{{COMPARISON_CTA}}
Connectors
Pre-built connectors are the primary way to differentiate ETL / ELT solutions, as they enable data teams to focus only on the insights to build.
Airbyte
Airbyte’s approach to its connectors is unique in three ways:
1. Airbyte is the only platform supporting structured and unstructured sources and vector database destinations for your AI use cases.
2. Airbyte offers Airbyte-official connectors on which it provides an SLA, and a marketplace of connectors powered by the community and built from Airbyte’s Connector Builder (low-code, no-code, or AI-powered). Marketplace connectors have quality and usage indicators. This approach enables Airbyte to offer the largest and fastest-growing catalog of connectors for sources (300+) and destinations (50+).
3. All Airbyte connectors are open-sourced, giving users the ability to edit them at will. However, all connectors built with the Connector Builder can be customized. Adding a new stream only takes minutes, as does building a new connector from scratch.
This open approach empowers Airbyte users to address the growing list of custom connectors they need, while those same users would have to build connectors in-house with a closed-source solution.
Airbyte will also start offering reverse-ETL connectors in 2025.
Singer
Talend (acquirer of StitchData) seems to have stopped investing in maintaining Singer’s community and connectors. As most connectors see schema changes several times a year, more and more Singer’s taps and targets are not actively maintained and are becoming outdated.
On Singer, each connector is its own open-source project. So you never know the quality of a tap or target until you have actually used it. There is no guarantee whatsoever about what you’ll get.
Finally, Singer’s connectors are standalone binaries: you still need to build everything around to make them work (e.g., UI, configuration validation, state management, normalization, schema migration, monitoring, etc.).
Transformation
Airbyte
Airbyte offers two options to get your data out of the box: a serialized JSON object and the normalized version of the record as tables. Airbyte also offers custom transformations via SQL and through deep integration with dbt, allowing their users and customers to trigger their own dbt packages at the destination level right after the EL. To help with this, Airbyte open-sourced a few dbt models to have analytics-ready data at your destination.
Airbyte also supports RAG-specific transformations, including chunking powered by LangChain and embeddings enabled by OpenAI, Cohere, and other providers. This allows you to load, transform, and store data in a single operation.
Finally, Airbyte is offering some mapping features, enabling its users to perform column selection or hashing, handle PII, filtering, and more.
Singer
Singer doesn’t provide any transformation features.
Customizability
Every company has custom data architectures and, therefore, unique data integration needs. A lot of tools don’t enable teams to address those, which results in a lot of investment in building and maintaining additional in-house scripts.
Airbyte
Airbyte’s architecture modularity implies that you can leverage any part of Airbyte. For instance, you can:
- use Airflow’s, Dagster’s, Prefect’s, or Kestra’s orchestrator to trigger Airbyte’s ELT jobs.
- leverage Langchain or LlamaIndex for all your AI-related jobs.
- deploy Airbyte in self-hosted, cloud-hosted, or hybrid.
It also means you can edit any pre-built connectors to your own specific needs or even leverage the no-code / low-code / AI-powered Connector Builder to build your own custom connectors in minutes (instead of days) and share their maintenance with the community and the Airbyte team.
Airbyte’s promise is to address all your data movement needs.
Singer
Being open source means you can leverage Singer’s taps and targets the way you want. But the lack of standardization across them makes it a difficult task to leverage those connectors to address your custom needs.
Support & docs
Data integration tools can be complex, so customers need to have great support channels. This includes online documentation as well as tutorials, email and chat support. More complicated tools may also offer training services.
Airbyte
Airbyte Cloud provides in-app support with an average response time of less than 1 hour.
Its documentation is comprehensive and complete with engaging tutorials and quickstarts. Airbyte also has a Slack, GitHb and Discourse community where help is available from the Airbyte team, other users or contributors.
Airbyte does not yet provide training services, but it offers its Airbyte Cloud and Enterprise customers a premium support option with SLAs.
Singer
Singer has a dying Slack community, and doesn’t provide any support. It has open-sourced documentation.
Pricing
Airbyte
Airbyte provides a 14-day free trial or $1,000 worth of credits, whichever expires first. Airbyte’s pricing is credit-based, and you consume credits based on volume with a different price for APIs, databases and files, which enables it to adapt well to all use cases, including database replication.
Airbyte doesn’t charge for failed syncs or normalization.
Airbyte offers adapted pricing to customers with large volumes.
Finally, Airbyte offers a Free Connector program that makes all their alpha and beta connectors free on Airbyte Cloud.
Singer
Singer’s premium service is Stitch. Please refer to the Airbyte vs. Stitch article for more details.
