Airbyte vs Matillion

Overview

Matillion

Stacks51

Followers71

Votes0

GitHub Stars0

Forks0

Airbyte

Stacks105

Followers112

Votes5

GitHub Stars20.0K

Forks4.9K

Airbyte vs Matillion: What are the differences?

Data Integration Approach: Airbyte follows a modular approach, where connectors are open-source and can be created by the community, providing more flexibility and customization. On the other hand, Matillion offers pre-built connectors for popular data sources, making it easier to set up but limiting customization options.
Deployment Flexibility: Airbyte can be deployed on-premises or in the cloud, giving users more control over their data integration environment. In contrast, Matillion is primarily a cloud-based solution, which may not be suitable for organizations with strict data security requirements necessitating on-premises deployment.
Pricing Structure: Airbyte follows a pricing model based on usage, making it more cost-effective for small to medium companies with fluctuating data integration needs. Matillion, however, has a subscription-based pricing model, which may be more suitable for enterprise-level organizations with predictable data integration requirements.
Scalability: Airbyte is known for its ability to handle large volumes of data efficiently, making it a preferred choice for companies with extensive data processing needs. Matillion, while capable of scaling to some extent, may require additional resources or optimization for handling massive datasets.
Learning Curve: Airbyte's simple and user-friendly interface makes it easy for non-technical users to set up and manage data integration workflows without extensive training. Matillion, being a more complex tool, may have a steeper learning curve, requiring specialized knowledge or expertise to utilize its full capabilities effectively.
Community Support: Airbyte benefits from an active and growing open-source community, leading to frequent updates, new connector development, and a vast knowledge base. Matillion, while having a supportive user community, may rely more on official support channels for bug fixes, updates, and feature requests.

In Summary, Airbyte and Matillion differ in data integration approach, deployment flexibility, pricing structure, scalability, learning curve, and community support.

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Detailed Comparison

Matillion	Airbyte
It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.	It is an open-source data integration platform that syncs data from applications, APIs & databases to data warehouses lakes & DBs.
Edit, Transform and Load Data intuitively; Load Data from Dozens of Sources; 50% reduction in ETL development and maintenance effort ; Rich orchestration environment; Work as a team; Cheap; Billing via AWS.	Scheduled updates; Manual full refresh; Real-time monitoring; Debugging autonomy; Optional normalized schemas; Full control over the data; Benefit from the long tail of connectors, and adapt them to your needs; Build connectors in the language of your choice, as they run in Docker containers
Statistics
GitHub Stars 0	GitHub Stars 20.0K
GitHub Forks 0	GitHub Forks 4.9K
Stacks 51	Stacks 105
Followers 71	Followers 112
Votes 0	Votes 5
Pros & Cons
No community feedback yet	Pros 1 Multiple capabilities 1 Free 1 Connect Multiple Sources 1 Change Data Capture 1 Easy to use
Integrations
Amazon S3 Zendesk MongoDB Stitch Amazon Redshift Cassandra Salesforce Sales Cloud Mixpanel	Greenhouse Google Cloud Platform Mixpanel Google Analytics PostgreSQL MySQL Shopify Amazon EC2 Zendesk Stripe

What are some alternatives to Matillion, Airbyte?

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Amazon EMR

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

Snowflake

Snowflake eliminates the administration and management demands of traditional data warehouses and big data platforms. Snowflake is a true data warehouse as a service running on Amazon Web Services (AWS)—no infrastructure to manage and no knobs to turn.

Stitch

Stitch is a simple, powerful ETL service built for software developers. Stitch evolved out of RJMetrics, a widely used business intelligence platform. When RJMetrics was acquired by Magento in 2016, Stitch was launched as its own company.

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Dremio

Dremio—the data lake engine, operationalizes your data lake storage and speeds your analytics processes with a high-performance and high-efficiency query engine while also democratizing data access for data scientists and analysts.

Cloudera Enterprise

Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts.

Related Comparisons

Airbyte vs Matillion: What are the differences?

Data Integration Approach: Airbyte follows a modular approach, where connectors are open-source and can be created by the community, providing more flexibility and customization. On the other hand, Matillion offers pre-built connectors for popular data sources, making it easier to set up but limiting customization options.
Deployment Flexibility: Airbyte can be deployed on-premises or in the cloud, giving users more control over their data integration environment. In contrast, Matillion is primarily a cloud-based solution, which may not be suitable for organizations with strict data security requirements necessitating on-premises deployment.
Pricing Structure: Airbyte follows a pricing model based on usage, making it more cost-effective for small to medium companies with fluctuating data integration needs. Matillion, however, has a subscription-based pricing model, which may be more suitable for enterprise-level organizations with predictable data integration requirements.
Scalability: Airbyte is known for its ability to handle large volumes of data efficiently, making it a preferred choice for companies with extensive data processing needs. Matillion, while capable of scaling to some extent, may require additional resources or optimization for handling massive datasets.
Learning Curve: Airbyte's simple and user-friendly interface makes it easy for non-technical users to set up and manage data integration workflows without extensive training. Matillion, being a more complex tool, may have a steeper learning curve, requiring specialized knowledge or expertise to utilize its full capabilities effectively.
Community Support: Airbyte benefits from an active and growing open-source community, leading to frequent updates, new connector development, and a vast knowledge base. Matillion, while having a supportive user community, may rely more on official support channels for bug fixes, updates, and feature requests.

In Summary, Airbyte and Matillion differ in data integration approach, deployment flexibility, pricing structure, scalability, learning curve, and community support.

Airbyte vs Matillion

Overview