Oracle Data Service Integrator vs. Starburst Enterprise

Since adopting Oracle Data Service Integrator (ODSI) over a year ago, we have been able to integrate multiple sources of data from multiple sources into a very robust process. This has really helped our developers and data scientists research and improve our user data. They are able to use the ODSI built-in architecture to create tools and processes that make their quality of life much better.

Incentivized

If you run a SQL query, Starburst Presto can help you track efficiently the status of SQL query. It can also track how many resources have been allocated for execution and what is the optimal way to run the query without hindrance. It also provides good information on worker nodes and how parallel threads are running together.

Incentivized

• Very easy to use. Very easy to just grab data when needed.
• Very robust and has so many features to move and transform data.
• Functionality is very easy to implement with other Oracle data products.

Incentivized

• Query tracking.
• Resource allocation.
• Parallelizing query execution.

Incentivized

• If not bundled with other products, the price can be prohibitively expensive
• SAP connectors tend to be a little expensive and slightly difficult to use
• The audit module had some difficulties debugging failed instances

Incentivized

• Pricing
• Platform can be made more intuitive.
• Sometimes the platform hangs while aborting the query.

Incentivized

Denodo is great, but if you want or need local storage and/or replication, then Oracle Data Service Integrator is the way to go. ODSI allowed us to perform data aggregation and run reports against locally stored data, which was a must in our environment. Oracle is the clear winner when it comes to choosing a mature product that gets the job done.

Incentivized

Most of our systems were compatible with Starburst Presto. The dashboard which they provide was fairly intuitive and easy to use. The learning curve wasn't that much. Also, the parallel processing part was an additional feature that we didn't find in many competitive products. The pricing was a little higher but it was worth the trade-off.

Incentivized

• It provided terrific bulk data movement and data transformation services which we desperately needed
• It allowed to reduce development costs and lower the total cost of ownership among disparate architectures
• The enterprise edition's ELT allowed us to generate native code for wildly varied RDBMS

Incentivized

• Neutral impact.
• ROI on saving time for query execution.
• Parallel processing saves time too.

Incentivized