Qubole Pricing & Demo

Qubole data analysis software provides computer scientists, system developers, data analysts, and managers with an out-of-the-box workbench and notebook. It supports open-source platforms used for all application user styles including Apache Spark, Presto, Hive / Hadoop, TensorFlow, Airflow, and others. It offers faster access for Analytics and Machine Learning to petabytes of safe, accurate, and trustworthy data sets of structured and unstructured data.

Qubole data analysis software revolutionizes how businesses leverage their data to gain insights. The cloud-native Big Data Infrastructure helps businesses to enable data petabytes exponentially more easily for anyone and any application. It provides customers with the freedom of choice: clients can use any engine, any platform, and any cloud.

Qubole Pricing

Qubole Pricing provides a free full-featured trial with a complete functioning platform, Limited to 5 users, 5000 QCU* and 1-month, using its personal cloud service account. Qubole pricing for Data Platform- Enterprise edition per QCU per hour** + adaptive serverless design, premium support. Qubole pricing heavily depends on customer requirements.

Qubole Demo

There is an on-demand demo of Qubole data analysis software available, or free Test Drive Training platform Limited to 1 person, up to 2 weeks, Includes sample data collection, No cost of cloud infrastructure.

Features

• Discover data sets and execute searches without waiting for clusters and services to be offered by system managers to compute.
• Solve the complexities of multi-users and facilitate cross-functional problem solving with built-in ACLs (users, groups, and accounts).

• Qubole data analysis software involves a quicker engine for highly immersive data analysis, or a completely ANSI-compliant version of SQL chosen.
• Leverage autoscaling features built into workload-aware for better query results.

• Use the platform to work easily together to analyze data and perform queries.
• Interact with Looker, Tableau, or any BI application that complies with ODBC-and JDBC.
• Share the effects of data through analytics applications, BI, data analysis or deep learning.

• Control data and metadata instantly.
  • Inspect queries and notebooks without having a cluster running