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Talend Open Studio EOL and Rivery compete in data integration and management. Data comparisons suggest Rivery leads due to its advanced features and benefits.
Features: Talend Open Studio EOL provides robust ETL capabilities, extensive data integration toolkit, and effective data transformation tools. Rivery offers a cloud-first approach, automated data pipeline processes, and a broader selection of prebuilt connectors.
Ease of Deployment and Customer Service: Talend Open Studio EOL uses an on-premise deployment model with community-based service, potentially leading to complex setup and limited support. Rivery's cloud-based deployment allows for seamless setup with professional support, ensuring quick issue resolution and ongoing assistance.
Pricing and ROI: Talend Open Studio EOL is affordable due to its open-source nature, minimizing setup costs. However, ROI is affected by maintenance needs. Rivery, though initially more costly, delivers higher ROI with automated features, efficient resource use, and potential long-term savings.
It saved my team time and really reduced manual work, so overall, it improved efficiency.
By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.
One significant challenge was implementing custom-built Python scripts using Rivery for transformations.
Customer support is great; they are answering really fast.
The customer support for Rivery is excellent.
It has handled growing data volumes and additional pipelines without major issues.
The focus is on the ability to connect to different sources and to put all the data together.
I found the tool very easy to use, allowing me to gain a lot of insights.
The excellent support we received from Rivery team contributes to this perception.
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
Agentic AI with open source tools can be used to build all configurations automatically for pipelines.
One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.
If we could have round-the-clock support, we would be able to resolve many issues which we encounter during the development part.
I found myself asking my stakeholder to make it only five times a day because it was really expensive.
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.
The main benefit Rivery brought to my organization was the time we were able to save on development.
Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.
It also comes with a console which helps us to monitor the jobs we have built in, making that monitoring part easy.

| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 13 |
| Large Enterprise | 18 |
Rivery is a serverless, SaaS DataOps platform that empowers companies of all sizes around the world to consolidate, orchestrate, and manage internal and external data sources with ease and efficiency.
By offering comprehensive data solutions and partnering with complementary technology providers, including Google, Snowflake, Tableau, and Looker, Rivery enables data-driven companies to build the perfect ecosystems for all their data processes.
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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