Qubole Features

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models

Transforms raw data into features that better represent the underlying problem to the predictive models

Offers image recognition services

Offers natural language processing services

Offers natural language generation services

Offers artificial neural networks for users

Offers natural language understanding services

Provides deep learning capabilities

Manages the intelligent application for the user, reducing the need of infrastructure

Allows users to insert machine learning into operating applications

Provides easily scaled machine learning applications and infrastructure

As reported in 64 Qubole reviews. Collects, stores, and organizes massive, unstructured data in real time

Facilitates the disseminating of collected big data throughout parallel computing clusters This feature was mentioned in 83 Qubole reviews.

Based on 79 Qubole reviews. Creates a repository to collect and store raw data from sensors, devices, machines, files, etc.

Aligns processing and distribution workflows on top of Apache Hadoop This feature was mentioned in 81 Qubole reviews.

Aligns processing and distribution workflows on top of Apache Hadoop 87 reviewers of Qubole have provided feedback on this feature.

Facilitates solution to run on and scale to a large number of machines and systems This feature was mentioned in 72 Qubole reviews.

As reported in 82 Qubole reviews. Curates collected data for big data analytics solutions to analyze, manipulate, and model

Aligns processing and distribution workflows on top of Apache Hadoop 87 reviewers of Qubole have provided feedback on this feature.

Moves big data collection and processing to the cloud 85 reviewers of Qubole have provided feedback on this feature.

Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems This feature was mentioned in 82 Qubole reviews.

Based on 119 Qubole reviews and verified by the G2 Product R&D team. Facilitates analysis of high-volume, real-time data.

Based on 10 Qubole reviews and verified by the G2 Product R&D team. Allows user to query data through query languages like SQL.

Based on 107 Qubole reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 123 Qubole reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Spark

Based on 108 Qubole reviews and verified by the G2 Product R&D team. Integrates data from multiple external databases.

Based on 113 Qubole reviews and verified by the G2 Product R&D team. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Based on 104 Qubole reviews and verified by the G2 Product R&D team. Processes data and represents interpretations in a variety of graphic formats.

Based on 116 Qubole reviews and verified by the G2 Product R&D team. Strings together specific functions and datasets to automate analytics iterations.

Based on 75 Qubole reviews and verified by the G2 Product R&D team. Isolates certain datasets and facilitates management of data access.

Based on 69 Qubole reviews and verified by the G2 Product R&D team. Allows big data tool to run and record data within external applications.

Based on 11 Qubole reviews and verified by the G2 Product R&D team. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Gives user ability to import a variety of data sources for immediate use

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives