Alteryx Designer and Rivery are competing data integration platforms. Alteryx Designer is favored for its ease of data manipulation, while Rivery is preferred for its flexibility in cloud environments.
Features: Alteryx Designer offers intuitive data manipulation, robust analytic capabilities, and integration with various databases. Rivery provides a flexible cloud-based platform, automation features, and native connectors for cloud services.
Ease of Deployment and Customer Service: Alteryx Designer is known for its straightforward setup and comprehensive support system, making it accessible to teams new to data analytics. Rivery provides a cloud-native deployment model with rapid setup and strong support focused on SaaS environments.
Pricing and ROI: Alteryx Designer presents a higher upfront cost, but its extensive features justify the investment over time. Rivery offers flexible pricing models suited for cloud-based operations, resulting in a scalable investment that meets varied budgeting needs.
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.
There are areas where they need to improve response time and overall competence.
Customer support is great; they are answering really fast.
We reported issues related to the CDC incremental load that we were trying to implement, which were not occurring properly on Rivery side.
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.
The tool is really useful and fast and easy to use.
The excellent support we received from Rivery team contributes to this perception.
Rivery can be improved by generally investing a bit more depth into the product, mainly in orchestration and specific features comparable to mature products.
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
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.
It's cheaper than Palantir, but even Alteryx is too much for small clients.
At the end of the day, we decided to do it every hour, and we knew it would be very expensive, so that was a hard decision we had to make.
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
The main valuable aspect is the simplicity of use across all features.
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.
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.
| Product | Market Share (%) |
|---|---|
| Alteryx Designer | 1.5% |
| Rivery | 0.6% |
| Other | 97.9% |
| Company Size | Count |
|---|---|
| Small Business | 12 |
| Midsize Enterprise | 3 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 1 |
| Large Enterprise | 3 |
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.
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