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Oracle Big Data Cloud Service Reviews

1 Ratings
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Score 10.0 out of 101

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Reviews (1-1 of 1)

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October 16, 2018

Oracle experience

Verified User
Score 10 out of 10
Vetted Review
Verified User
Review Source
We use it in my lab. I'm not entirely sure about the rest of the departments or the rest of the labs even.
However we use it in our lab and are really happy with it. We use the cloud storage and the portability for a lot of our documents which usually contain very confidential information. Oracle has been able to provide strong support in helping us maintain Confidentiality. The speed of the system is also very impressive.
  • User friendly
  • Offers support and assistance
  • Worth the cost
  • Time efficient
  • Good reliability
  • Reliable support
  • Less pricey
  • Customizable
  • A little more help in setting up/using the systems
  • Constant upgrades are always pricey
  • Some bugs noticable
We use it only when we need to and we have found that the software does what it needs to, it's user friendly and us also really helpful in many other ways as well. Like I mentioned before, we love the security and the speed we receive.
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Oracle Big Data Cloud Service Scorecard Summary

Likelihood to Recommend (1)
10.0

Feature Scorecard Summary

Ease of building user interfaces (1)
9
Scalability (1)
7
Platform management overhead (1)
9
Workflow engine capability (1)
8
Platform access control (1)
8
Services-enabled integration (1)
8
Development environment creation (1)
9
Issue recovery (1)
7

About Oracle Big Data Cloud Service

The Oracle Big Data Cloud features managed and secure platform cloud service for Apache Hadoop and Apache Spark delivered as an elastic, integrated platform. It provides support for streaming, batch, and interactive analysis.

Provisioning & Elasticity

  • Provision fully configured, dedicated Hadoop and Spark clusters on demand
  • Scale Hadoop and Spark cluster compute capacity on-demand by bursting to dedicated, additional OCPUs for the cluster

Comprehensive Software

  • Oracle R Advanced Analytics for Hadoop - Develop models using R that run in parallel on Hadoop, and accelerated using Spark
  • Oracle Data Integrator – Transform and enrich data within your big data clusters
  • Oracle SQL Connector for Hadoop and Oracle Loader for Hadoop – Integrate data in online or offline modes
  • Process and enrich geospatial data and leverage graph analytics using Oracle's capabilities for spatial analysis and graph analysis
  • Develop models using R that run in parallel on Hadoop, and accelerated using Spark

Management

  • Run fully secure and encrypted clusters without additional configuration
  • Manage clusters with easy-to-use tooling and simplified patching and upgrades

Integration

  • Store data in the Oracle Storage Cloud Service, and process it with multiple Hadoop clusters
  • Query data in Big Data Cloud Service and Database Cloud – Exadata Service
Categories:  Hadoop-Related,  Platform-as-a-Service (PaaS)

Oracle Big Data Cloud Service Technical Details

Operating Systems: Unspecified
Mobile Application:No