4 ELT Alternatives To Airbyte – How To Ingest Your Data

Getting data out of source systems and into a data warehouse or data lake is one of the first steps in making it usable by analysts and data scientists.

The question is how will your team do that?

Will they write custom data connectors, pay for a data connector out of the box or perhaps use an open source solution.

If you choose open source, then you’ll likely be going with Airbyte. It’s one of the few open-source data connectors you’ll find.

But perhaps you’re looking for an alternative to Airbyte. If you are looking for an alternative to Airbyte, we’ll be discussing a few below. Although most if not all aren’t open-source.

Before diving into alternatives, let’s first talk about what Airbyte is.

What is Airbyte?

Airbyte is an open-source data pipeline platform that serves as an alternative to Stitch Data and Fivetran. Though existing data pipeline platforms offer a significant number of integrations with well-regarded sources like Stripe and Salesforce, there is a gap in the current model that leaves out small service integrations.

Airbyte solves this problem by building and maintaining connectors while fostering a community of users who benefit from one another’s custom connectors. It’s common practice for companies to build custom connectors to support their applications. Airbyte’s open-source model creates a community wherein companies can support one another by building and maintaining their unique connectors.

Connectors on Airbyte run in Docker containers, allowing for independent operating. You can easily monitor each of your connectors, refresh them as needed, and schedule updates. Airbyte first certifies new connectors to ensure they’re ready for production; currently, there are over 46 connectors available. Already, more than 250 companies are benefitting from this open-source data pipeline platform.

To Open Source Or Not

One of the major challenges when it comes to finding alternatives to Airbyte is if you really want to stay open-source. There aren’t that many open-source data connector solutions. Estuary provides an open source version but it’s pretty limited.

So the alternatives below will be solutions you’ll have to pay for.

4 Airbyte Alternatives

So if you’re looking for an alternative to Airbyte, I’d also consider asking whether you need a replacement or an augmentation.

Regardless, here are four other EL (T) solutions you can use in your data stack.

Portable.io

One data connector solution that has been developed over the past few years is Portable.io. Porable.io is a cloud-based data integration tool that replicates data to Snowflake, BigQuery, Amazon Redshift, PostgreSQL, etc. What I have enjoyed about Portable is that it takes care of many of the long-tail data connectors that Airbyte doesn’t.

All for a flat fee.

Portable pricing

• Free Tier – This is only for manual syncs (so you better get used to clicking)
• One-ff Scheduled data flow: $200/data flow with unlimited sources, destinations, and volumes
• Business Tier data flow: $1,000 for up to 10 data flows
• Custom: For specific needs

Portable Features

• 500+ data source connectors
• Support for major cloud data warehouse providers
• Unlimited data sources, destinations, and volumes
• Free development and maintenance of new data integrations
• Hands-on support

What Stands Out About Portable

One of the reasons I enjoy working with Portable is that any time I needed a custom connector, I would email their support team, and they’d work with me to develop, test, and “productionize” it.

All at no cost to me!

Basically, it is like having an extra engineer on my team.

Pros

• A flat pricing model, meaning you know what you’re paying upfront
• Try all connectors for as long as you want with no charge
• 500+ long-tail connectors that other ETL solutions don’t support
• Custom connector creation and support at no additional cost

Cons

• Doesn’t yet support the largest enterprise data sources (think Salesforce, thus using Portable in conjunction with other solutions makes sense)
• Doesn’t focus on databases as sources
• Not available internationally

Portable.io is a growing contender in this space with a readily accessible team. The CEO of Portable.io is frequently active on data engineering Reddits answering an array of questions.

But let’s talk about a solution that can also manage your real-time needs.

Estuary Flow

Estuary is a modern data platform that simplifies how businesses build and operate real-time data pipelines. Instead of juggling multiple tools or writing custom code, Estuary Flow lets you design, run, and scale pipelines with no scheduling and minimal maintenance, covering batch, streaming, and millisecond-latency materialized views in one place.

Built on Gazette

Under the hood, Estuary Flow runs on Gazette, an open-source streaming framework that combines:

• Millisecond-latency pub/sub
• Native persistence to cloud storage

This architecture effectively creates a real-time data lake where every captured event is stored durably and can be replayed or re-materialized on demand.

Connectors and Change Data Capture

Estuary offers turnkey batch and streaming connectors (150+ across databases, SaaS apps, and warehouses).

With Managed CDC (Change Data Capture) you can stream database changes in real time with minimal impact, while built-in backfill and transformation testing keep everything consistent.

Flexible Deployment Options

Estuary Flow now supports three ways to deploy, so teams can match architecture and compliance needs:

• Managed Cloud – Estuary runs everything for you.
• Private Cloud – Deploy in your own cloud account for extra control and data residency.
• Self-Hosted – Run Flow entirely on your infrastructure using the open-source edition.

Built-In Reliability and Developer Experience

• Schema validation and first-class testing for every transformation
• Continuous integration that revalidates changes automatically
• Millisecond latency for both streaming and materialized views

Pricing: Transparent and Predictable

Estuary keeps billing simple. You pay only for data moved per month and active connector instances, no guessing at “monthly active rows.”

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Why Teams Choose Estuary

Pros

• Move large data volumes quickly and affordably (often 2–10× cheaper than legacy ETL tools).
• Real-time and batch pipelines in one platform.
• Strong database and high-scale system coverage.
• Built-in testing and schema validation.

Cons

• As a newer platform, Estuary evolves rapidly.
• SaaS connector coverage is growing but not as broad as incumbents; can be supplemented with tools like Portable or Fivetran.

Matillion

Proponents of Matillion’s ELT solution feel like it often surpasses Fivetran as it does far more than just EL. Unlike Airbyte, which doesn’t have fully fleshed-out transform capabilities and really just relies on DBT to perform its transforms, Matillion provides the end-user post-load transformations. Users can create transformation components with an easy to interact with point-and-click UI. This can be very favorable for some companies looking to have a more all-in-one tool in terms of ELT.

Overall, Matillion can be a solid replacement.

Matillion pricing

• Free: Up to one million rows/month
• Basic: $2.00/credit
• Advanced: $2.50/credit
• Enterprise: $2.70/credit

Matillion Features

• 125+ data source connectors
• On-premises and cloud deployment options
• Cloud data transformation is presented with a graphic user interface (GUI)
• Supports ETL, reverse ETL, CDC, and several other forms of data workflows

Pros

• Strong data transformation capabilities built-in
• On-premises option available
• Since Matillion offers loading and transformation, it can be easier to implement data governance

Cons

• Matillion’s GUI-based transformations can have a learning curve
• Fewer data connections than other competitors, including Airbyte

Rivery

Rivery is an ELT solution that offers a comprehensive suite of data management tools, including data integration, activation, transformation, and orchestration. It’s designed with a no-code interface that simplifies the creation of data pipelines, which Rivery terms as “rivers.” The platform supports over 200 pre-built connectors, enabling seamless data integration from various sources directly into your data warehouse.

Rivery Features

• 200+ data source connectors
• Cloud deployment options
• Cloud data transformation is presented with a graphic user interface (GUI)
• Supports ETL, reverse ETL, CDC, and several other forms of data workflows

Rivery Pricing

This solution offers three versions: starter, professional, and enterprise. The pricing breakdown is as follows, starter plan costs $0.75 per rivery pricing unit (RPU) monthly credit, $1.20 per RPU credit monthly for the professional plan and, the enterprise plan is customizable.

Rivery Pros

• Rivery is an all in one solution, meaning they offer extraction, loading and transforms

Rivery Cons

• The pay-per-use is a little abstract as it’s put behind their RPU which is essentially another layer of abstraction on-top of cloud costs.
• The GUI can help improve pipeline development but it can also feel limiting to individuals who are used to writing code

Which Solution Works Best For You?

ELT solution has to mesh with the technique and strategy involved in the company’s processes. The ELT platform can, as mentioned, save coding hours, but it needs to be integrated in the right way to provide the best service. That means understanding where data will be deployed at the endpoint and figuring out all of the primary sources that are priorities for centralizing data.

Any of the above resources can work with the right implementation and design. By taking on more of the data center process in an automated and replicating way, the company is easing the burden on its in-house staff and positioning for better scalability and growth. Take a look at some of the top ELT tools to understand how these are integrated into a commercial context and what that means in the age of the cloud and SaaS.

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