Qubole Features

Qubole

Big-data-as-a-service provider

5.0/5 (2 reviews)

Qubole Feature Summary

  • Managed Hadoop Cluster (auto-scaling, high performance)
  • Integrates with open-source R for statistical analysis.
  • Connectors to MongoDB, RDS, RedShift and other cloud data
  • Capability to cap query by results size or time
  • Connectors to Google Analytics,AppNexus and other cloud apps
  • Monitor Jobs, Schedule Big Data Jobs, Set Dependencies/Rules
  • Qubole integrates with BI and analytic solutions.
  • Big Data Modeling in the cloud
  • Qubole has FREE Plan
  • Build Sophisticated Data Pipelines in the cloud
  • API provides a unified meta-data to Hadoop, Hive and Pig.
  • Import/Export from cloud or on-premise data sources
  • Qubole is fully accessible by using a REST API.
  • Integration with BI Tools (e.g. Tableau, Microsoft Excel)
  • Graphical Interface for mapReduce, Hive, Pig, Sqoop and more
  • Hive as a Service
  • Qubole is available in all the regions of AWS worldwide.

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Qubole Feature Reviews

2 reviewers had the following to say about Qubole's features:

Rakesh Sharma

Facebook Power For Your Data

2013-09-04

The solution is packed with features and integrations that make it easier for organizations that would like to invest in big data solutions but do not have the financial resources to find a team that puts it together.

Pros

Multiple integrations and usable interface simplifies complex big data operations.

Cons

None that I could think of

Source: GetApp
1 of 1 people found this review helpful
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Anonymous
SDR (Information Technology and Services company, 51-200 employees)
Verified Reviewer

Recently decide to migrate workloads

2015-09-09

All we had to do was connect our data sets and were able to get up and running within a few hours.

Pros

The biggest feature that has proven valuable to our team is the auto-scaling technology that will increase the clusters based on the demand that is needed and turn down when it's not, completely alleviating all headaches with running big data analytics on the cloud prior.

Cons

Haven't had any hiccups yet.

Rating breakdown

Value for money
Ease of use
Customer support

Time used: 6-12 months

Source: GetApp
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