Qubole Pricing

Based on our most recent analysis, Qubole pricing starts at $199.

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Starting From: $199
Pricing Model: Still gathering data
Free Trial: Yes, Request for Free

Training Resources

Qubole is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Qubole:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Qubole Benefits and Insights

Why use Qubole?

Key differentiators & advantages of Qubole

Enables Advanced Analytics: Access large amounts of structured, semi-structured and unstructured data stored in the data lake in its raw form, enabling advanced analytics to be performed on it, such as NLP.
Unified Catalog: Provides a centralized, unified catalog for data discovery, ad hoc analytics, streaming analysis and machine learning use cases to develop, test, query and visualize data insights.
Efficiency: Improves performance and response time for queries, eliminates manual steps to provide a smooth automated flow of data. Combine with Presto, Spark or Hive to maximize efficiency and performance in data discovering and profiling.
Scalable: Scale up and down depending on needed compute capacity without the risk of data loss. Optimize the balance between cost and performance with intelligent cluster rebalancing.
Reduce Complexity: Data management eliminates the infrastructural complexity of data in the data lake, enabling easier data discovery and analytics.
Govern User Access: Provides a single place to manage user access controls and manage who has access to what type of data and reports. Track cluster usage by user and workload.
Near Zero Administration: Automates every step of the data flow starting from implementation to maintenance of clusters, with in-built tools and integrations for several analytics types, resulting in near zero administrative efforts for organizations.
Reduce Costs: Platform runtime services and spot buying reduces compute costs dramatically.
Concurrent Queries: Enables many users to run queries at the same time while managing compute costs.
Security: Keeps data secure and private in the cloud with end-to-end encryption. Meets GDPR and HIPAA compliances.

Industry Expertise

Qubole serves industries of all sizes, including retail, marketing, mass media, SaaS, technology, airlines and transportation. It has won G2 Crowd Leader - Winter 2020, ranked #503 in 2018 Inc. 5000 list and DBTA 2018 100 companies that Matter Most in Data.

Qubole Reviews

Average customer reviews & user sentiment summary for Qubole:

265 reviews

80%

of users would recommend this product

Key Features

Ad Hoc Analytics: Create and deliver ad hoc SQL analytics via optimized engines such as Presto, Hive or Spark SQL. Alternatively, use third party integrations for Git, Looker or Tableau to visualize the data.
Streaming Analytics: Develop streaming data pipelines in minutes without writing any code. Connect and combine multiple streaming and batch data sets to gain real-time insights. Use the built-in test framework to test run and debug new data pipelines.
Machine Learning: Develop and iterate machine learning models with offline editing, a multi-language interpreter and version control to deliver faster results. Anchor workflows with schedulers and Airflow. Helps teams collaborate in a common workspace with their preferred interface.
Data Management: Manages data using a single metastore to improve performance and response time for queries, resulting in faster data discovery and profiling. Provides built-in transactionality support to avoid dirty readings, lost updates and enforce app-centric integrity.
Data Engineering: Automates the creation, scaling and monitoring of pipelines. Easily create, manage and schedule workloads for data engineering. Process datasets to consistent pipelines using its processing engine and language of choice.
Platform Runtime Services: The deployment of cloud infrastructure is automated and optimized with workload-aware scaling, cluster lifecycle management, intelligent spot management and heterogeneous cluster management.
Data Visualization: Visualize data insights with out-of-the-box dashboards for a range of metrics. Monitor real-time data insights and take action. Qviz enables quick, hassle-free data visualization.
Inbuilt Notebook: Use the original Qubole notebook based on Apache Zeppelin, or use out-of-the-box Jupyter integration to run queries against data sets leveraging a mix of interfaces, such as SQL embedded in Python.
Development Tools: Create applications easily with tools such as code auto-complete, code compare, version control, hands-free dependency management and Qviz.
Workbench: A one-stop self-service data discovery tool to easily discover, query, analyze and debug data sets in the data lake.

Limitations

Some of the product limitations include:

Inability to control underlying infrastructure.
Has a significant learning curve.
May be expensive for smaller businesses.
Difficult to find libraries for 3rd party integrations.

Suite Support

Email: Mail [email protected] to receive support.

Phone: Call (855) 423-6674 for support.

Training: Their website contains an extensive suite of blogs, videos, webinars, how-to-articles and e-books. Connect with the Qubole community for discussions and tips.

Tickets: Customers can reach the support center from their ‘contact us’ page to submit a ticket.

Qubole Reviews & Pricing

What is Qubole?

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