Compare Airbyte, the leading open data movement solution, to Hevo Data. Compare data sources and destinations, features, pricing and more. Understand their differences and pros / cons.
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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’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 over 550 connectors.
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.
Hevo offers many connectivity options, comprising over 150 connectors, including 11 destination options and 140+ sources. The source connectors include popular databases such as (MongoDB, MySQL, and MariaDB), Saas applications, streaming services, and cloud storage. Additionally, if you can’t find the required built-in connector, you can request their teams to develop a custom connector.
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.
With ETL, Hevo enables you to transform data before loading it to the desired data warehouse and ensures analysis-ready data upon arrival. It allows you to execute the transformation code within the pipeline setup. Hevo supports three types of transformations. They are In-flight transformation, User-driven transformation, and Post-data transformation. The in-flight transformation involves applying little changes such as adding meta fields, converting dates, and configuring access controls. The user-driven transformation involves transforming data before loading it into the destination, it includes data cleaning, filtering, and re-expression. Lastly, the post-data transformation allows further data refinement after loading.
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’s architecture modularity implies that you can leverage any part of Airbyte. For instance, you can:
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.
Hevo Data doesn’t provide any customizability, unfortunately.
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 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, GitHub, 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.
Hevo Data provides in-app chat support.
Their documentation is comprehensive.
The company doesn't provide training services, but tutorial videos can be found on YouTube.
Airbyte Open Source is free to use.
Airbyte Cloud provides a 14-day free trial (which starts after the 1st sync). After the free trial, the prices apply based on the volume of data you replicate. Airbyte Cloud doesn’t charge for failed syncs or normalization. The pricing associated with the Enterprise and Team versions is capacity-based. This model ensures predictable and scalable costs, as you're charged for the capacity (number of Airbyte connections and data refresh frequency) rather than fluctuating data usage. Learn more about Airbyte's transparent pricing plans here.
Airbyte Enterprise is offered with a fixed contract, not volume-based.
Hevo Data operates on an event-based pricing model, where any row update contributes to your billing. They provide three pricing tiers: Free, Starter, and Business.
Discover the keys to enhancing data pipeline performance while minimizing costs with this benchmark analysis by McKnight Consulting Group.
Airbyte is the leading open data movement platform, created in July 2020. Airbyte offers more than 550 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.
Hevo Data is a closed-source, managed ETL service that was created in 2017. As of September 2021, they have built 110 data connectors and have hundreds of customers. Hevo Data offers real-time replication to their destinations.
Airbyte has become our single point of data integration. We continuously migrate our connectors from our existing solutions to Airbyte as they became available, and extensibly leverage their connector builder on Airbyte Cloud.
Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.
We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria.
The value of being able to scale and execute at a high level by maximizing resources is immense