SAP Vora vs. Starburst Enterprise

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
SAP Vora
Score 6.0 out of 10
N/A
SAP Vora is a computing engine designed to provide better accessibility to Hadoop data from SAP HANA. SAP Vora manages unstructured Hadoop data by building structured data hierarchies and making the data queryable through an SQL interface.N/A
Starburst Enterprise
Score 7.0 out of 10
N/A
Starburst Enterprise is a fully supported, production-tested and enterprise-grade distribution of open source Trino (formerly Presto® SQL). It aims to improve performance and security while making it easy to deploy, connect, and manage a Trino environment. Through connecting to any source of data – whether it’s located on-premise, in the cloud, or across a hybrid cloud environment – Starburst provides analytics tools to users while accessing data that lives anywhere.N/A
Pricing
SAP VoraStarburst Enterprise
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
SAP VoraStarburst Enterprise
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
SAP VoraStarburst Enterprise
Top Pros
Top Cons
Best Alternatives
SAP VoraStarburst Enterprise
Small Businesses

No answers on this topic

No answers on this topic

Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
SAP HANA Cloud
SAP HANA Cloud
Score 8.5 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
Delphix
Delphix
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
SAP VoraStarburst Enterprise
Likelihood to Recommend
6.0
(1 ratings)
7.0
(1 ratings)
User Testimonials
SAP VoraStarburst Enterprise
Likelihood to Recommend
SAP
I spent more than 1 year with SAP Vora, SAP Datahub and SAP Leonardo with ML, iOt. I believe this product has potential but it is not easy to adopt. SAP has to keep in mind how open-source big data technologies are able to deliver quick results. I know SAP is stabilizing and fighting hard against many open source technologies, but it still has a long way to go there.
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Starburst Data
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.
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Pros
SAP
  • Modelling with SAP HANA and Hadoop
  • Realtime Analysis using Vora and HANA as a Streaming engine
  • Time series Analysis on large chunks of datasets
  • Machine learning capabilities on Hadoop tables and spark contexts
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Starburst Data
  • Query tracking.
  • Resource allocation.
  • Parallelizing query execution.
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Cons
SAP
  • Vora 2.0 in on premise scenarios could be improved, as adoption of the cloud is not an easy sell.
  • Kubernetes and Docker integration need to be more seamless and quick to understand. If this is simplified, it will be easy to adopt
  • Data hub orchestration and integrations could be simplified so that quick adoption within SAP BW, ECC, S4 HANa scenarios is possible.
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Starburst Data
  • Pricing
  • Platform can be made more intuitive.
  • Sometimes the platform hangs while aborting the query.
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Alternatives Considered
SAP
No answers on this topic
Starburst Data
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.
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Return on Investment
SAP
  • Negative impact would be Poc and RFI will need more time to adopt and decision making gets delayed
  • Positive impact would be it's a great leap from SAP to adopt a Big data technologies and AI within cloud stream. But selling is going to take time.
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Starburst Data
  • Neutral impact.
  • ROI on saving time for query execution.
  • Parallel processing saves time too.
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ScreenShots