Comparing Informatica PowerCenter with Matillion and Weld



What is Informatica PowerCenter
Pros
- Extremely powerful and scalable for enterprise ETL with parallel processing and pushdown optimization.
- Comprehensive transformation library, data quality, and metadata management integrated in the platform.
- Robust scheduling and workflow orchestration with detailed logging and recovery capabilities.
- Supports heterogeneous environments: on-prem, cloud, hybrid, and mainframe data sources.
Cons
- High total cost of ownership: expensive licensing, dedicated infrastructure, and specialized admins.
- User interface is dated; development and maintenance require specialized training, increasing time to onboard new users.
- Less agility for rapidly changing data needs vs. modern cloud-native ETL tools; upgrades and patches are time-consuming processes.
Informatica PowerCenter Overview:
What I like about Informatica PowerCenter
PowerCenter’s ability to handle massive ETL workflows with rich transformation libraries and metadata governance is unmatched for large enterprises.
What I dislike about Informatica PowerCenter
Steep learning curve and high licensing costs make it unsuitable for smaller teams. Administration overhead is significant compared to cloud-native ETL.
What is Matillion
Pros
- Large number of connectors
- Robust feature set
- Lots of advanced features for larger enterprises and data teams
- Has both ELT and ETL capabilities
- On premise options
Cons
- Expensive for small businesses
- Steep learning curve for non-technical users
- Requires a large upfront investment and implementation
As a reviewer on Gartner puts it: :
What I like about Matillion
Matillion ETL Platform Enables Robust Data Pipelines Without Constraints
What I dislike about Matillion
What is Weld
Pros
- Premium quality connectors and reliability
- User-friendly and easy to set up
- AI assistant
- Very competitive and easy-to-understand pricing model
- Reverse ETL option
- Lineage, orchestration, and workflow features
- Advanced transformation and SQL modeling capabilities
- Ability to handle large datasets and near real-time data sync
- Combines data from a wide range of sources for a single source of truth
Cons
- Requires some technical knowledge around data warehousing and SQL
- Limited features for advanced data teams
A reviewer on G2 said:
What I like about Weld
First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.
What I dislike about Weld
Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.
Feature-by-Feature Comparison
Ease of Use & Interface
Informatica PowerCenter
PowerCenter’s Designer and Workflow Manager GUIs are comprehensive but dated. Developers need formal training to use transformation and mapping components effectively. The metadata integration assists with governance but adds complexity.
Matillion
Matillion has a steep learning curve, especially for non-technical users, due to its robust feature set and advanced capabilities designed for larger enterprises.
Pricing & Affordability
Informatica PowerCenter
Pricing is custom enterprise quotes—often $100k+ per year depending on nodes and users. Best for large enterprises that need high SLAs and rich feature sets; impractical for startups or small teams.
Matillion
Matillion's pricing can be expensive, particularly for small businesses, as it is based on credits and requires a significant upfront investment.
Feature Set
Informatica PowerCenter
Includes: visual mapping designer, advanced transformations (data cleansing, lookups, aggregation), parallel processing, workflow orchestration, metadata manager, data quality, master data management, and extensive connectivity (mainframe to cloud).
Matillion
Matillion offers a robust set of features with support for both ETL and ELT, along with numerous connectors and on-premise options, making it ideal for large enterprises with complex data needs.
Flexibility & Customization
Informatica PowerCenter
Highly customizable via Expression Transformations, Java Transformations, and stored procedure calls. Integration with command tasks allows custom scripts. However, it’s not open-source; you rely on Informatica for feature updates.
Matillion
Matillion provides extensive customization and flexibility options, particularly for large enterprises, but may be overkill for smaller teams or simpler use cases.
Summary of Informatica PowerCenter vs Matillion vs Weld
Weld | Informatica PowerCenter | Matillion | |
---|---|---|---|
Connectors | 200+ | 200+ | 110+ |
Price | $79 / No data volume limits | Enterprise licensing (six-figure annual contracts) | $2.00 per credit |
Free tier | No | No | Yes |
Location | EU | Redwood City, CA, USA (Informatica HQ) | UK |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | Yes |
Transformations | Yes | Yes | Yes |
AI Assistant | Yes | No | No |
On-Premise | No | Yes | Yes |
Orchestration | Yes | Yes | Yes |
Lineage | Yes | Yes | No |
Version control | Yes | Yes | No |
Load data to and from Excel | Yes | Yes | No |
Load data to and from Google Sheets | Yes | No | No |
Two-Way Sync | Yes | No | No |
dbt Core Integration | Yes | No | No |
dbt Cloud Integration | Yes | No | No |
OpenAPI / Developer API | Yes | Yes | Yes |
G2 Rating | 4.8 | 4.3 | 4.3 |
Conclusion
You’re comparing Informatica PowerCenter, Matillion, Weld. Each of these tools has its own strengths:
- Informatica PowerCenter: includes: visual mapping designer, advanced transformations (data cleansing, lookups, aggregation), parallel processing, workflow orchestration, metadata manager, data quality, master data management, and extensive connectivity (mainframe to cloud). . pricing is custom enterprise quotes—often $100k+ per year depending on nodes and users. best for large enterprises that need high slas and rich feature sets; impractical for startups or small teams. .
- Matillion: matillion offers a robust set of features with support for both etl and elt, along with numerous connectors and on-premise options, making it ideal for large enterprises with complex data needs.. matillion's pricing can be expensive, particularly for small businesses, as it is based on credits and requires a significant upfront investment..
- Weld: weld integrates elt, data transformations, and reverse etl all within one platform. it also provides advanced features such as data lineage, orchestration, workflow management, and an ai assistant, which helps in automating repetitive tasks and optimizing workflows.. weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..