Oracle Stream Analytics vs. StreamSets DataOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Oracle Stream Analytics
Score 0.0 out of 10
N/A
Oracle supports streaming analytics needs with Oracle Stream Analytics, currently in its 18th edition.N/A
StreamSets
Score 8.1 out of 10
N/A
StreamSets in San Francisco offers their DataOps Platform, a subscription based streaming analytics platform including StreamSets Data Collector data source management, Control Hub for data movement architecture management, StreamSets Data Collector Edge IoT manager, DataFlow Performance Manager (DPM), and StreamSets Data Protector compliance (e.g. GDPR) compliance module.N/A
Pricing
Oracle Stream AnalyticsStreamSets DataOps Platform
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Oracle Stream AnalyticsStreamSets
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Oracle Stream AnalyticsStreamSets DataOps Platform
Top Pros

No answers on this topic

Top Cons

No answers on this topic

Features
Oracle Stream AnalyticsStreamSets DataOps Platform
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Oracle Stream Analytics
-
Ratings
StreamSets DataOps Platform
9.0
1 Ratings
11% above category average
Visualization Dashboards00 Ratings7.01 Ratings
Low Latency00 Ratings8.01 Ratings
Integrated Development Tools00 Ratings10.01 Ratings
Data wrangling and preparation00 Ratings10.01 Ratings
Data Enrichment00 Ratings10.01 Ratings
Best Alternatives
Oracle Stream AnalyticsStreamSets DataOps Platform
Small Businesses
IBM Streams
IBM Streams
Score 9.0 out of 10
IBM Streams
IBM Streams
Score 9.0 out of 10
Medium-sized Companies
Confluent
Confluent
Score 7.4 out of 10
Confluent
Confluent
Score 7.4 out of 10
Enterprises
Spotfire Streaming
Spotfire Streaming
Score 7.9 out of 10
Spotfire Streaming
Spotfire Streaming
Score 7.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Oracle Stream AnalyticsStreamSets DataOps Platform
Likelihood to Recommend
-
(0 ratings)
9.0
(1 ratings)
User Testimonials
Oracle Stream AnalyticsStreamSets DataOps Platform
Likelihood to Recommend
Oracle
No answers on this topic
StreamSets
Majorly for all Batch and Streaming Scenarios we are designing StreamSets pipelines, few best suited and tried out use cases below : 1. JDBC to ADLS data transfer based on source refresh frequency. 2. Kafka to GCS. 3. Kafka to Azure Event. 4. Hub HDFS to ADLS data transfer. 5. Schema generation to generate Avro. The easy to design Canvas, Scheduling Jobs, Fragment creation and utilization, an inbuilt wide range of Stage availability makes it an even more favorable tool for me to design data engineering pipelines.
Read full review
Pros
Oracle
No answers on this topic
StreamSets
  • A easy to use canvas to create Data Engineering Pipeline.
  • A wide range of available Stages ie. Sources, Processors, Executors, and Destinations.
  • Supports both Batch and Streaming Pipelines.
  • Scheduling is way easier than cron.
  • Integration with Key-Vaults for Secrets Fetching.
Read full review
Cons
Oracle
No answers on this topic
StreamSets
  • Monitoring/Visualization can be improvised and enhanced a lot (e.g. to monitor a Job to see what happened 7 days back with data transfer).
  • The logging mechanism can be simplified (Logs can be filtered with "ERROR", "DEBUG", "ALL" etc but still takes some time to get familiar for understanding).
  • Auto Scalability for heavy load transfer (Taking much time for >5 million record transfer from JDBC to ADLS destination in Avro file transfer).
  • There should be a concept of creating Global variables which is missing.
Read full review
Alternatives Considered
Oracle
No answers on this topic
StreamSets
StreamSets is a one-stop solution to design Data engineering Pipelines and doesn't require deep Programming knowledge, It's so user-friendly that anyone in Team can contribute to the Idea of pipeline design. In Hadoop One has to be programming proficient to use its various components like Hive, HDFS, Kafka, etc but in StreamSets all these stages are built-in and ready to use with minor configuration.
Read full review
Return on Investment
Oracle
No answers on this topic
StreamSets
  • Simplified Improvised Overall data ingestion and Integration Process.
  • Support to various Hetrogenous Source systems like RDBMS< Kafka, Salesforce, Key Vault.
  • Secure, easy to launch Integration tool.
Read full review
ScreenShots