Top 4 Matillion Alternatives 2024

October 29, 2024

Data is one of the key components of an organization. Everything centers around data from sales, marketing, and customer information to social media activity and web browsing patterns. As the amount of data exponentially increases, organizing and integrating data to draw actionable insights is crucial. Matillion is a powerful data integration and transformation platform that you can utilize to move your data from one place to another. Although Matillion is a popular integration tool, its limitations make it less preferable to its alternatives.

If you are looking for Matillion competitors, this article is for you as it uncovers the top four alternatives you can use in 2024.

Matillion Overview

Matillion is a cloud-based platform that simplifies the data integration processes. It allows you to collect data from multiple sources and load it into a unified system. Leveraging the power of cloud-based platforms, Matillion facilitates data extraction, transformation, loading, and orchestration to support business analytics. 

Apart from integration features, it is also equipped with transformation capabilities like data cleansing, profiling, and enrichment to facilitate seamless data visualization.

Some of the key features of Mallition are:

  • It has a user-friendly drag-and-drop interface lets you perform several data integration processes effortlessly. You can accomplish these processes with little technical expertise, allowing you to gather, prepare, and load data without hassle.
  • Matillion supports multi-cloud platforms such as Snowflake, AWS, Azure, and Google Cloud, thus making it easier to integrate data from diverse sources.
  • With Matillion, you get around 150 pre-built connectors to simplify your data connection between the source and the destination. 

Top 4 Matillion Alternatives

Here are the top four alternatives to Matillion you can explore to manage your data integration requirements. Let’s have a look at each one of them:

Airbyte

Airbyte Landing Page

Airbyte is a robust data integration and replication platform that allows you to synchronize data from diverse sources and load it to your preferred destination. With a wide range of connectors, you can seamlessly gather and integrate data from multiple locations, such as SaaS applications and flat files, and load it to data lakes, warehouses, or vector databases. 

In case your required connector is not available in the pre-built list, you have the flexibility to create custom connectors using the no-code connector builder or low-code Connector Development Kit within minutes.

Key features of Airbyte:

  • AI-Powered Connector Builder: To further streamline the connector development process, Airbyte now offers an AI assistant for the connector builder option. With this feature, you can automatically fill in many details, such as pagination, authentication, primary key, etc. This assistant also provides suggestions to help you configure the connectors smoothly.
  • Data Synchronization: Airbyte supports the Change Data Capture feature, enabling you to replicate incremental changes from the source into your destination systems. Thus, you can effortlessly track the modifications made to your data and manage it seamlessly.
  • Enhanced Security: It has advanced security features to ensure data integrity and protection. Some include access controls, authentication mechanisms, encryption, audit logging, regular security assessments, and community engagement.
  • Comprehensive Monitoring Options: It offers various options for monitoring ELT pipelines. One of them includes integration with Datadog, which allows you to monitor and analyze your data pipelines directly within Datadog's dashboards without incurring additional costs.
  • Thriving Community: With a vibrant community of data practitioners (800+ contributors) and developers, Airbyte has positioned itself as one of the most popular open-source platforms. It allows you to collaborate with others to discover new features and resolve queries arising in data ingestion.

Pricing

Airbyte, known for its transparent pricing, offers four versions—Airbyte Open Source, Airbyte Cloud, Airbyte Team, and Airbyte Self-Managed Enterprise. The open-source version is available for free. However, the cloud version would suit you if you want to leverage Airbyte’s infrastructure without the hassle of managing servers and maintenance. It offers a pay-as-you-go model. The Team and Enterprise versions both have customized pricing. 

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Advantages over Matillion

  • Vast Library of Pre-built Connectors: Compared to Mallition, Airbyte has more than double the number of connectors. Airbyte is equipped with 400+ pre-built connectors, including over 350 data sources and over 50 destinations. This empowers you to seamlessly integrate data from diverse sources and quickly perform your data pipeline tasks.
  • Streamlined AI Workflow Integration: With automatic chunking and indexing options, Airbyte helps you transform your raw data and store it directly in eight different vector databases, including Pinecone, Weaviate, Milvus, and more. This allows you to streamline your AI workflows.
  • Versatile Options to Build Pipeline: You can efficiently manage your data pipelines with Airbyte via API, UI, or Terraform Provider. While the user interface lets you build pipelines without programming skills, the API and Terraform Provider offer flexibility and customization capabilities suitable for advanced technical users.
  • PyAirbyte: In addition to the above-listed options, Airbyte also offers an open-source Python library, PyAirbyte. With PyAirbyte, you can extract data from various sources using Airbyte connectors. This allows you to programmatically manage and automate integration jobs within your Python workflows.
  • Data Resync Capabilities: Airbyte Refreshes Sync is a powerful mechanism that assists you in resyncing your data pipelines from the beginning, capturing all data from the source, and updating your destination system. This feature is particularly useful in case of accidental data deletion or corruption.
  • Efficient Data Processing: One of the features that sets Airbyte apart from Matillion is its data stack integration capability. Airbyte allows you to seamlessly integrate with popular tools like Dagster, Airflow, and Kubernetes for efficiently managing data processing requirements. 

Refer to Airbyte vs Matillion to delve deeper into the different features provided by Airbyte and Matillion. This guide offers a comprehensive comparison of their capabilities and functionalities.

Fivetran

Developed in 2012, Fivetran is a cloud-based data integration platform that delivers high-end performance by syncing data automatically. It has many pre-built connectors, enabling seamless data extraction and loading processes into a centralized database or data warehouse from diverse sources. 

Key features of Fivetran:

  • Fivetran ensures data governance and security by adhering to standard security practices such as column blocking and hashing. Column Blocking allows you to restrict specific columns from being replicated to your target system. In contrast, hashing focuses on securing your Personally Identifiable Information (PII) before loading them to the destination. 
  • It offers a range of deployment options to accommodate various preferences. This includes self-hosted, cloud-based, and hybrid deployment.

Pricing

Fivetran has flexible subscription plans that let you pay for the services you use. If you are dealing with a low volume of data, then you can use its free plan to fulfill your needs. But if you are handling large datasets, you can switch to its paid versions—Starter, Standard, and Enterprise. Each plan is tailored to suit your needs based on data volume, number of connectors, and security features.

Suggested Read: Fivetran Competitors

Advantages over Matillion

  • One of the significant benefits of choosing Fivetran over Matillion is the number of connectors that it has to offer. Fivetran offers an extensive library of more than 300 connectors compared to Matillion. These connectors availability in the data integration process ensures reliable and flexible data pipelines.
  • When it comes to managing data pipelines, Fivetran supports two ways to manage data pipelines—Terraform provider and API, whereas Matillion doesn’t offer such methods. You can use Terraform and API to programmatically create, alter, or delete data, thus saving you time. 

Hevo Data

Hevo Data is another data integration platform that provides end-to-end automated data pipelines. It allows you to extract data from 150+ sources, including SaaS applications, databases, or data warehouses, and load it to more than 15 destinations with the help of its pre-built connectors. Once the data is unified in a centralized repository, you can efficiently utilize it for data analytics and visualization.

Key features of Hevo Data:

  • Hevo Data’s fault-tolerant architecture prevents data loss and maintains absolute data accuracy with minimal latency during the integration process.
  • With Hevo’s CDC technique, you can replicate data updates from your source systems to your destinations.

Pricing

Hevo Data offers flexible pricing plans in three versions—Free, Starter, and Professional. Everyone can access the Free version, which works well if you handle a small amount of data. The Starter version can move limited data from SaaS tools and databases using its 150 connectors library. The Professional version can be employed when you want to move substantial volumes of data. 

Suggested Read: Hevo Alternatives

Advantages over Matillion

  • When it comes to platform training, Matillion only provides demo videos that are available on YouTube. However, Hevo Data has the edge over Matillion, as it offers YouTube videos as well as customized demo videos on request. 
  • Hevo Data provides a user-friendly interface. With Hevo’s zero-code approach and drag-and-drop transformation, you can perform integration tasks without any technical expertise. 

Stitch Data

Stitch Data by Talend is a cloud-based data integration platform that allows the movement of data records from databases and SaaS applications to data lakes and warehouses. Along with integration capabilities, this platform also prioritizes data security and compliance by offering access control and encryption features. While transferring data from source to destination, you can employ its secure options, such as IP whitelisting, SSH tunneling, and SSL/TLS.

Key features of Stitch Data:

  • Stitch has an extensive library of pre-built connectors that support more than 100 data sources to set your data pipelines within minutes. This enables you to manage your data efficiently and draw practical insights from your datasets.
  • With Stitch, you can maintain data transparency and control your data pipelines. It offers orchestration capabilities that allow you to manage your data as it is replicated from data sources to target destinations.

Pricing

Stitch offers transparent and predictable pricing where you only have to pay based on the data you utilize. It offers three versions— Standard, Advanced, and Premium. The Standard plan would be suitable if you have to manage 5 to 300 million rows of data per month. If the number of rows exceeds 100 million, you should go for the Advanced version. Lastly, if the quantity of data is too large, then the Premium plan is the one for you.

Suggested Read: Stitch Data Alternatives

Advantages over Matillion

  • One of the features that sets Stitch Data apart from Matillion is its Import API feature. Stitch Import API enables you to transfer data directly from a source to Stitch by acting as a receiver that processes incoming data in batch or real-time. The Import API accepts JSON or transit requests and returns JSON responses for all its methods. 
  • Matillion offers limited features when it comes to providing support and documentation compared to Stitch Data. You must access support through an online ticketing system through a support portal or email. You have to rely on the articles available on its support portal for data documentation. Stitch, however, is flexible as it provides an in-app chat and phone support features. 

Final Word

Instead of analyzing data in silos, you can streamline your data in a unified repository to make better business decisions and optimize workflow. The Matillion data integration platform caters to your integration needs by seamlessly bringing your data into one place. However, the Matillion competitors are equipped with improved and additional features that make them suitable for expanding enterprise demands.

If you want to leverage all the features mentioned above on a single platform, then Airbyte is the right choice. It follows a modern ELT approach to streamline data integration by automating the creation of data pipelines from disparate data sources and loading them to the target system. So, scale and upgrade your business models by signing up on the Airbyte platform today.

Suggested Read: Skyvia Alternatives

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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.