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Talend Open Studio and Matillion Data Productivity Cloud are powerful data integration solutions. While Talend is known for its extensive open-source ETL features, Matillion provides a cloud-native approach with seamless AWS integration, offering an edge in scalability and ease of use for cloud-based environments.
Features: Talend Open Studio offers more than 900 connectors, robust ETL capabilities, and is known for its cost-effectiveness and user-friendliness, particularly for small companies. Its open-source nature ensures cost-effective deployment and scalability. Matillion's key offerings include integration with AWS, an intuitive interface for complex data transformations, and cloud-native ETL operations, making it suitable for enterprises focused on agility and cloud infrastructure.
Room for Improvement: Talend Open Studio could enhance cloud capabilities and improve CDC and MDM integrations. It also needs better installation processes and documentation. Matillion could benefit from increased support for concurrent workloads and more robust backend integration, and its strong reliance on AWS might limit non-AWS ecosystems.
Ease of Deployment and Customer Service: Talend Open Studio provides versatile deployment options, including on-premises and hybrid environments, but relies heavily on community forums for support. Matillion offers streamlined deployment in public cloud environments with AWS integration, though it has limited on-premises options. Customer support varies, with Talend relying on community assistance while Matillion provides direct support through AWS channels.
Pricing and ROI: Talend Open Studio's open-source model is budget-friendly for small teams, with advanced features available in the paid version for larger deployments. Matillion's pricing, based on EC2 usage, adapts well to varied use cases within AWS, offering a scalable cost structure suitable for companies leveraging cloud-first strategies, enhancing its ROI in cloud environments.
Consequently, we adjusted our processes to use Matillion Data Productivity Cloud only for extraction and ingestion, while Snowflake handled all transformations and jobs.
They communicate effectively and respond quickly to all inquiries.
Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required.
The autoscale process works well, allowing the system to start another node automatically if the first machine reaches 80% capacity.
The main areas for improvement are AI features and scalability.
Connections to BigQuery for extracting information are complex.
If we could have round-the-clock support, we would be able to resolve many issues which we encounter during the development part.
Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing clients in specific regions, like Spain.
The pricing is moderate, neither expensive nor cheap.
The predefined connectors eliminate the need to write code for connectivity.
Matillion Data Productivity Cloud is effective for ingest functions, particularly when moving information to Snowflake and performing many transformations.
It also comes with a console which helps us to monitor the jobs we have built in, making that monitoring part easy.
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| Company Size | Count |
|---|---|
| Small Business | 6 |
| Midsize Enterprise | 10 |
| Large Enterprise | 11 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 13 |
| Large Enterprise | 18 |
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Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.
Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.
What are the key features of Matillion Data Productivity Cloud?
What benefits and ROI should users seek in reviews?
In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.
Talend Open Studio [EOL] is a user-friendly data integration tool that offers comprehensive ETL capabilities with extensive connector options. Its open-source nature and integration with a range of data sources make it a versatile choice for data integration tasks.
Talend Open Studio [EOL] provides flexibility and scalability for data integration by supporting relational and NoSQL databases. It is Java-based, allowing customization and data quality features, backed by community support. Challenges include limitations in scheduling and monitoring, technical support, resource consumption, and version control. The complex installation process and need for better documentation and easier use for beginners are notable issues. Despite these, it remains a strong option for connecting legacy applications, building data warehouses, and automating processes with data migration, synchronization, transformation, and loading from ERP systems, APIs, and databases like PostgreSQL, Oracle, and SQL Server.
What are the standout features of Talend Open Studio [EOL]?Talend Open Studio [EOL] is implemented across sectors like telecom, finance, and real estate for managing data flows, constructing information hubs, and enhancing business intelligence. Companies utilize it for data migration, synchronization, and transformation, ensuring efficient data integration in diverse applications.
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