5 Best Tools for Segment ETL

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Segment ETL FI

Segment is a customer data platform (CDP) that makes it easier to acquire and use data from your digital domains (websites, apps, etc.). Connecting Segment with an ETL tool gives you access to analysis-ready data without the headache of writing and maintaining ETL scripts.

Factors to consider while choosing a Segment ETL Tool

  • Ease of use: The ease of setting up a new ETL process or modifying an existing one is an important factor to consider. Drag-and-drop is excellent, but it may become quite messy if it is not intended to allow sophisticated data model assembly, for instance.
  • Ease of Maintenance: Maintenance is very critical for any ETL tool. You need to ask yourself questions like, “What level of expertise will you or your team need to maintain the ETL system’s proper operation?” or “How robust and user-friendly are its error logs?”. For instance, if one of your data sources is malfunctioning, how soon will you be able to identify and resolve the issue?
  • Robust Support: No matter how simple a tool is, assistance is sometimes required. You might need help with set-up or if you come across any errors. You must consider factors such as the tool’s documentation, availability of live support and an online community.
  • Built-in Integrations: If an ETL tool has custom integrations for the majority of your data sources, the time required to launch your data warehouse can be drastically reduced. Your data could be ready to use in a matter of hours or even minutes with the appropriate integrations.

It can be time-consuming for data engineers to find the Segment ETL tool that is most appropriate for their company. So, here are the top 5 ETL tools that support Segment as a source:

  • Hevo
  • Stitch
  • Fivetran
  • Panoply
  • Integrate.io

1. Hevo

Segment ETL: Hevo logo
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Hevo is a data pipeline platform that enables you to easily replicate data from all your sources to the destination of your choice, run transformations for analytics, and deliver operational intelligence to business tools.

Hevo is easy to use even for non-technical users, as it is a no-code data pipeline. You can save time and effort because it is fully automated and requires virtually zero maintenance.

You can scale your data infrastructure as required because the platform supports 150+ ready-to-use integrations along with 40+ free sources. Hevo has a very intuitive UI to make setting up a pipeline easier for you.

Hevo also provides pre-load transformation, meaning you can transform your data multiple ways before loading it to the destination. Hevo is compatible with both ETL and ELT. Before loading, you may quickly convert your data, so it is ready for analysis when it enters your data warehouse. 

Hevo provides around-the-clock help like Intercom online chat and email support options. Issues are resolved swiftly and immediately. The documentation is exhaustive and routinely updated to reflect version changes, etc.

Hevo has a very transparent pricing model with no hidden costs. You can try out Hevo’s 14-day free trial to see if it fits your needs.

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2. Stitch

Segment ETL: Stitch logo
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Stitch facilitates the replication of data into cloud-based data warehouses, enabling you to quickly access analytics and make faster decisions. Stitch is a fully managed, scalable service with prebuilt connectors to over 100 data sources that allows you to query new data in minutes.

It is relatively easy to use as no coding knowledge is required to move data in Stitch. It has an excellent user interface and is fast

Stitch also enables users to build new sources following the specifications outlined in Singer (an open-source toolkit for writing scripts). However, the client needs to possess strong programming skills to accomplish this.

Stitch does not transform the data before loading it. It may modify the data by translating data types to ensure that it is compatible with the destination. This means Stitch will only perform the necessary transformations to ensure the data is useful and compatible with the destination.

Stitch provides no training services. Stitch offers its clients chat help within the application. However, only enterprise clients have access to telephone help. The documentation is comprehensive and open source. Stitch provides no training services.

Stitch offers two facility-based pricing options, each consisting of regular and enterprise tiers. These plans are available for subscription on a monthly and annual basis. Additionally, Stitch offers people a 14-day free trial.

3. Fivetran

Segment ETL: Fivetran logo
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Fivetran is a cloud-based ETL tool that enables smooth data transmission. Fivetran is utilized to efficiently collect business processes and customer information from connected applications, websites, and servers. The collected data is then transferred to other analytics, marketing, and warehousing applications.

Fivetran provides nearly 150 cloud platforms, SaaS applications, and database connectors. It supports several destinations for data warehouses, although data lakes aren’t an option. You may request a new data source, but only the Fivetran team can create new data sources and make other modifications.

Although Fivetran does not offer training services, the company’s product documentation is comprehensive. Additionally, it offers in-app help where you can use the app to find solutions to your queries.

Fivetran utilizes a consumption-based pricing strategy with three tiers: beginner, standard, and enterprise. You can use Fivetran’s 14-day free trial period to check if it’s compatible with your needs.

4. Panoply

Segment ETL: Panoply logo
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Panoply is a cloud-based, end-to-end data management system. Panoply is an ELT platform with integrated visualization capabilities and storage optimization algorithms.

The availability of helpful community support is one of the most significant advantages of Panoply.

Automated Materialized Views (AutoMV) feature offers the same performance advantages as materialised views created by the user. The automatic materialization of views is excellent and allows you to create highly complex views without considering runtime. Support representatives are generally responsive and helpful.

But, materialization processes occasionally experience issues (downtime) and are not properly visible on the platform.

If you haven’t planned ahead, organizing folders can be complex because you cannot select more than one at a time.

Panoply offers five pricing editions. Their prices can go upto $2729. They offer a free trial too.

5. Integrate.io

Segment ETL: Integrate.io logo
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Integrate.io assist e-commerce businesses in constructing a 360-degree customer view. They help in generating a single source of truth for data. It enhances customer insights through better operational insights, and maximizing advertising return on investment.

Their highly proficient support staff is one of the company’s chief advantages. They provide excellent support for technical products.

When a job fails, it can be challenging to determine the cause based on the Error Log provided as it can be pretty minimal.

But, the user experience is excellent. Each function and usability have been streamlined.

The pricing plans are not public, and you need to contact Integrate.io directly for pricing information.

Final Thoughts

We have listed the top 5 ETL Tools that support Segment as a source in this article. Some people may be looking for more affordable prices, a more comprehensive range of integrations, or a pipeline that requires less manual labor. There are alternatives available for each of these aspects of the situation.

We hope this article will assist you in finding an ETL tool for Segment that will meet all of your requirements. The following is a list of all the different options discussed in this article:

Centralize your data with Hevo to effectively measure what matters because your sole focus should be delighting your customers.

You can use the 14-day free trial to evaluate if Hevo fits your needs. 1000+ companies say it does.

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Former Content Writer, Hevo Data

Sharon is a data science enthusiast with a passion for data, software architecture, and writing technical content. She has experience writing articles on diverse topics related to data integration and infrastructure.

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