Matillion Vs. Informatica: Key Differences
Let's take a look at the significant attributes of Informatica Vs. Matillion:
Let's take a look at the significant attributes of Informatica Vs. Matillion:
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There are various differences between Matillion and Informatica. Some of the major ones are mentioned below:
Informatica has a vast library of 100+ pre-built connectors that provide access to on-premise and cloud applications, databases, and flat files. Using these connectors, you can build data pipelines within minutes, thus integrating your datasets anywhere. In addition, you can also create connectors or request a new one by contacting Informatica customer support.
In contrast, Matillion has an extensive library of 150+ pre-built connectors, which assists you in seamlessly integrating data from disparate sources into a centralized database. It helps to simplify the connection between the source files like ERP, CRM, or relational databases and the target system, such as a data warehouse. Along with integration features, you can orchestrate data workflows, thus optimizing workflows.
If you cannot find a connector of your choice on the Matillion platform, you can build custom connectors using the Custom Connector feature.
Matillion allows you to perform simplified transformation functions, such as aggregation, renaming, filtering, and mapping, using its graphical user interface. It is well-suited for you even if you have limited coding experience. Apart from basic transformations, you can also leverage complex transformation components using its SQL or Python scripts. It has an Expression Editor where you can easily create formulas and expressions in components and place them in the desired data pipeline using the drag-and-drop feature.
Comparatively, with Informatica, you can perform basic as well as complex transformations by combining multiple transformation types and applying advanced logic. For instance, you can utilize the Aggregator transformation to perform aggregate calculations, such as averages and sums, against groups of data. Moreover, Informatica also offers a Mapping Designer tool, which allows you to create mappings that can be used in mapping tasks.
When it comes to protecting your datasets and files, Matillion provides enhanced security features. These include multi-factor authentication, audit logs, role-based access control, and PrivateLink functionality to streamline ETL processes. Beyond security measures, it continually performs evaluations to scan any potential risks in your datasets, thus ensuring data integrity. To facilitate this process, it adheres to industry compliance standards such as CCPA, CSA STAR, HIPAA, SOC 2, and PCI DSS.
In comparison to Matillion, Informatica is equipped with robust data security measures to build a reliable and valuable data pipeline. It provides robust security features such as user authentication, access controls, audit trails, encryption, and automated backups to ensure that data is protected during and after transmission. In addition to these measures, it takes certifications, assessments, and standards very seriously to enable trust in transactions and support its IT controls. Some industry certifications it adheres to meet the regulatory requirements include SOC1, SOC2, SOC3, FedRAMP, and HIPAA.
Matillion is very reliable and flexible when it comes to its pricing plan, as it offers a pay-as-you-go model to suit your business needs. It has three pricing versions to manage your data integration requirements—Basic, Advanced, and Enterprise. The Basic plan is suitable if you want to orchestrate data pipelines and transform them using its built-in connectors. However, it hosts only a limited number of users. If you want your datasets to be accessible to unlimited users, you can go for the Advanced version, as it also has all the Basic plan features. The Enterprise pricing plan is equipped with all the features of the above two versions, along with additional capabilities such as hybrid cloud deployment and CDC pipelines. To know more about its services, you can create a free account and get access to a 14-day trial.
On the other hand, Informatica offers a consumption-based pricing model, allowing you to pay only for the data you consume. You can utilize the Informatica Processing Unit (IPU) to estimate the capacity of your cloud integration needs in advance. Their paid versions are undisclosed, but you can always connect with their sales team if you want to know more about their pricing plans. If you want to perform simple cloud data integration tasks, you can use its 30-day trial version.
Airbyte is a popular data integration platform that is used by more than 40,000 engineers. It allows you to proficiently extract data from diverse sources and load them into a centralized repository using its modern ELT approach. This empowers you to quickly load your data into data warehouses or lakes without worrying about the transformation step.
The platform has a rich library of 350+ pre-built connectors to automate data pipeline creation from source to your preferred destination. If you cannot find a connector of your choice, you can either request a new connector or build a custom connector using its Connector Development Kit.
Some of the unique features of Airbyte include:
This article has provided you with a detailed comparison between the data integration platforms Matillion vs. Informatica. Both tools are tailored to suit various data migration and transformation needs. However, they also have certain limitations and advantages over each other. While Matillion is a flexible platform that provides multiple integration solutions, Informatica is more instilled with advanced transformation capabilities. So, based on your enterprise needs and requirements, you can go with either of them.
Discover the keys to enhancing data pipeline performance while minimizing costs with this benchmark analysis by McKnight Consulting Group.
Data has become a significant metric for determining an organization's success. It has helped you diversify your businesses by providing data-driven analytics and visualization. However, with the presence of an increasing amount of data at multiple locations, it is inconvenient to utilize it to draw actionable insights. This is where the role of powerful data integration platforms comes into the picture. Popular platforms like Matillion and Informatica have been used for a long time as they effortlessly allow you to integrate data from different sources.
In this article, you will gain an overview of Matillion vs. Informatica platforms and explore the key differences between them.
Created in 2011, Matillion is a cloud-based data integration platform that enables you to perform several integration processes such as ETL, ELT, and Reverse ETL to unify data. It enables you to extract data from diverse sources, transform it based on your needs, and load it into a data warehouse. Matillion leverages the power of cloud-based platforms to facilitate data transformation and orchestration, thus empowering you to draw meaningful insights from the unified data.
Informatica is a popular data management and integration platform that allows you to extract data from diverse sources and load it into your target system. This facilitates you in performing data analytics to identify patterns quickly and scale your business needs. Along with integration, you can leverage other features, such as data quality, security, and governance.
Airbyte has become our single point of data integration. We continuously migrate our connectors from our existing solutions to Airbyte as they became available, and extensibly leverage their connector builder on Airbyte Cloud.
Airbyte helped us accelerate our progress by years, compared to our competitors. We don’t need to worry about connectors and focus on creating value for our users instead of building infrastructure. That’s priceless. The time and energy saved allows us to disrupt and grow faster.
We chose Airbyte for its ease of use, its pricing scalability and its absence of vendor lock-in. Having a lean team makes them our top criteria.
The value of being able to scale and execute at a high level by maximizing resources is immense