Top ETL Tools

Top 5 Stitch Data Competitors & Alternatives 2024

May 8, 2024

A large volume of data is generated daily on different applications. In order to analyze data and derive meaningful insights from them, you need to integrate data from these sources into a unified system. Stitch Data is a robust data integration platform that you can leverage to automate your data movement. It is a cloud-first platform that ensures fast and efficient data transfer from one place to another. However, with the growing business demands, a more powerful tool with advanced features is the need of the hour. 

This article will give you an overview of the features of Stitch Data, along with suitable Stitch Data alternatives to cater to different integration needs.

Stitch Data Overview

Developed by Talend, Stitch Data is a powerful integration platform that helps you connect data from diverse databases, SaaS applications, and other systems into a unified destination. It offers a user-friendly UI, 140+ pre-built connectors that include popular data sources, and automated data pipelines. With Stitch, you can streamline your data integration processes and unlock valuable insights from different data sources.

Some of the key features of Stitch Data include:

  • Stitch Data offers orchestration features that allow you to manage and control your data pipelines completely during the data transfer process. 
  • With Stitch Data, you can ensure data security and compliance as it offers access control and encryption features. Using options like SSL/TLS, SSH tunneling, and IP whitelisting, you can secure your data movement from different sources to a unified destination.

Top 5 Stitch Data Competitors

Let’s look at some popular Stitch Data alternatives you can utilize to fulfill your business requirements in 2024.

Airbyte

Airbyte Landing Page

Airbyte is a widespread data integration tool that helps you synchronize data from disparate sources into a single destination. With over 350+ pre-built connectors, it offers one of the largest libraries of connectors, enabling you to create quick data pipelines. If the desired connector is unavailable, you can swiftly build custom connectors using the Connector Development Kit within minutes. In addition to data integration, it also allows you to set up and manage data movement operations, such as task scheduling and alerting.

Key features of Airbyte:

  • Airbyte supports Change Data Capture (CDC), which lets you detect and capture only the source data changes and replicate those in the destination file.
  • It adheres to strong security measures, such as audit logs, encryption, authentication mechanisms, and regular security assessments to ensure secure data transmission.
  • With Airbyte, you can collaborate with multiple users on a single instance. Additionally, you can utilize single sign-on or role-based access control for efficient user management, thus allowing you to handle your data pipeline effectively.

Pricing

Known for its transparent pricing, Airbyte offers three pricing plans—Airbyte Cloud, Airbyte Self-Managed, and Powered by Airbyte. The Airbyte Cloud plan is a pay-as-you-go model that eliminates your need to manage and maintain servers. Airbyte Self-Managed offers an open-source version and an enterprise-ready plan that has customized pricing. Lastly, the Powered by Airbyte version offers pricing based on syncing frequency duration.

Advantages of Airbyte Over Stitch Data

  • Airbyte is an efficient solution that allows you to integrate with a modern data stack, a feature notably absent in Stitch Data. You can seamlessly integrate with tools like Airflow, Kubernetes, Dagster, and dbt to facilitate quick data management. 
  • When it comes to community engagement, Airbyte is a preferable platform compared to Stitch Data. Although Stitch Data uses the Singer platform to maintain community integrations, Airbyte has positioned itself as a more popular open-source platform. It has a broad community of 800+ contributors comprising data practitioners and engineers.
  • Airbyte enables you to build data pipelines in multiple ways, such as UI, API, and Terraform Provider. You can manage data without acquiring programming skills using the user interface. API and Terraform Provider can be a preferable choice for advanced technical users. 

Skyvia

Skyvia is a cloud-based data integration platform using a no-code methodology to transfer data from source to destination. It allows you to perform several integration processes, such as ETL, ELT, and Reverse ETL. To seamlessly migrate data and automate workflows, it offers a collection of more than 160 connectors. If you cannot find the connector of your choice, you can always request a new data connector on its platform.

Key features of Skyvia:

  • Skyvia offers a versatile approach to data transformation by providing both graphical components and SQL transformations that are simple to configure.
  • You can leverage its strong backup and restore functionality to ensure data integrity and continuity. It allows you to perform manual and automatic daily backups so that your data is not lost while performing integration tasks.
  • Skyvia offers robust data replication capabilities, allowing you to copy data between various sources such as databases, cloud applications, and files. 

Pricing

Skyvia has four types of plans to tailor to your specific business requirements. The first plan is Free and can be used to integrate a small amount of data. The Basic plan can be utilized for performing ELT scenarios. If you want to leverage ETL and ELT approaches, you should use the Standard plan. The Professional plan is used to build powerful data pipelines for any scenario.

Fivetran

Fivetran is a cloud-based data movement platform that enables you to perform several integration tasks like ETL and ELT. It provides an automated data extraction and loading feature for complex data pipelines. You can use its library of 300+ connectors to sync data from APIs, databases, SaaS applications, and other sources into your desired destination, like data warehouses. 

Key features of Fivetran:

  • Fivetran enhances the data integration process by replicating schema changes from the source databases, ensuring your destination data remains up-to-date. 
  • It adheres to standard security practices by implementing column blocking and hashing mechanisms. While column blocking allows you to restrict specific columns from being replicated in your destination, hashing provides security for your Personally Identifiable Information (PII).

Pricing

Along with a free plan, Fivetran also comes with three paid versions—Starter, Standard, and Enterprise. You can choose a suitable plan tailored to your business needs. If you want to implement a modern ELT approach, opt for the Starter plan. However, if you require access to REST APIs, use the Fivetran Standard plan. The Enterprise plan provides advanced data security and governance features particularly suitable for scalable workflows.

Integrate.io

Launched in 2011, Integrate.io is a cloud-based data integration platform that supports ELT and low-code ETL processes. You can effortlessly design and execute data pipelines using its drag-and-drop interface. With integration capabilities, it also offers data replication features that allow you to capture changes from source files and replicate them into the destination files.

Key features of Integrate.io:

  • Integrate.io hosts 100+ pre-built connectors for the most popular sources, such as Snowflake, Microsoft Azure, and Redshift.
  • With Integrate.io, you can handle and transform in-pipeline data before it is loaded into the destination database. This helps in saving computer costs and enhancing quick processing when working with large datasets.
  • You can access monitoring and logging information at your fingertips with Integrate.io. This feature enables you to prevent data errors and provides easy troubleshooting by tracking your data progress in real-time.

Pricing

Integrate.io offers a predictable and budget-friendly pricing plan to scale your data integration process. The Starter plan is available for free. The Professional version offers expanded features, such as supporting frequently running data pipelines. Lastly, an Enterprise plan provides comprehensive and customized solutions based on your business needs.

Hevo Data

Developed in 2017, Hevo Data is a cloud-based data integration and replication platform that helps you manage data pipelines. It supports over 150 ready-to-use connectors, including SaaS applications, streaming services, databases, and SDKs. This helps you handle your data productively and perform data analytics.

Key features of Hevo Data include:

  • Hevo Data facilitates automatic scalability by managing large volumes of data records effortlessly and adjusting as per workload requirements.
  • You can use its no-code methodology to build your data pipelines without writing a single code.
  • Hevo adheres to the most secure industry standards, such as GDPR, SOC 2, and HIPAA, to ensure data integrity and confidentiality.

Pricing

Hevo Data provides three pricing plans—Free, Starter, and Professional. The free version is available to all users and is effective for handling small volumes of data. The Starter plan has a library of 150 connectors, which allows you to transfer a limited amount of data from databases to a target system. However, if you want to migrate excessive data, the Professional version is suitable as it provides complete data control.

Final Word

Performing the right data integration process to unify your data is crucial as it saves time, money, and resources. Stitch Data is a popular platform that fulfills your integration needs by collecting all the data in one place. However, with changing business dynamics, you should also be ready to explore Stitch alternatives that provide advanced integration features.

We recommend leveraging an advanced data solution like Airbyte. It hosts a vast array of built-in connectors that allow for streamlined data integration. Sign up for free to explore its unique features and boost your analytics journey today.

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Frequently Asked Questions

What is ETL?

ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

What is ?

What data can you extract from ?

How do I transfer data from ?

This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: set it up as a source, choose a destination among 50 available off the shelf, and define which data you want to transfer and how frequently.

What are top ETL tools to extract data from ?

The most prominent ETL tools to extract data include: Airbyte, Fivetran, StitchData, Matillion, and Talend Data Integration. These ETL and ELT tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

What is ELT?

ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

Difference between ETL and ELT?

ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.