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What is JetBrains DataSpell?
Effortlessly toggle between command and editor modes with a single keystroke while using arrow keys to navigate through cells. Utilize the full range of standard Jupyter shortcuts to create a more seamless workflow. Enjoy the benefit of interactive outputs displayed immediately below the cell, improving visibility and comprehension. While working on code cells, take advantage of smart code suggestions, real-time error detection, quick-fix features, and efficient navigation, among other helpful tools. You can work with local Jupyter notebooks or easily connect to remote Jupyter, JupyterHub, or JupyterLab servers straight from the IDE. Execute Python scripts or any expressions interactively in a Python Console, allowing you to see outputs and variable states as they change. Divide your Python scripts into code cells using the #%% separator, which enables you to run them sequentially like in a traditional Jupyter notebook. Furthermore, delve into DataFrames and visual displays in real time with interactive controls, while benefiting from extensive support for a variety of popular Python scientific libraries, such as Plotly, Bokeh, Altair, and ipywidgets, among others, ensuring a thorough data analysis process. This robust integration not only streamlines your workflow but also significantly boosts your coding productivity. As you navigate this environment, you'll find that the combination of features enhances your overall coding experience.
What is IBM Analytics for Apache Spark?
IBM Analytics for Apache Spark presents a flexible and integrated Spark service that empowers data scientists to address ambitious and intricate questions while speeding up the realization of business objectives. This accessible, always-on managed service eliminates the need for long-term commitments or associated risks, making immediate exploration possible. Experience the benefits of Apache Spark without the concerns of vendor lock-in, backed by IBM's commitment to open-source solutions and vast enterprise expertise. With integrated Notebooks acting as a bridge, the coding and analytical process becomes streamlined, allowing you to concentrate more on achieving results and encouraging innovation. Furthermore, this managed Apache Spark service simplifies access to advanced machine learning libraries, mitigating the difficulties, time constraints, and risks that often come with independently overseeing a Spark cluster. Consequently, teams can focus on their analytical targets and significantly boost their productivity, ultimately driving better decision-making and strategic growth.
Integrations Supported
Amazon Q Developer
Apache Spark
Code With Me
Codebuddy
Conda
Continue
EasyCode
JetBrains AI Assistant
Jupyter Notebook
JupyterHub
Integrations Supported
Amazon Q Developer
Apache Spark
Code With Me
Codebuddy
Conda
Continue
EasyCode
JetBrains AI Assistant
Jupyter Notebook
JupyterHub
API Availability
Has API
API Availability
Has API
Pricing Information
$229
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
JetBrains
Date Founded
2000
Company Location
Czech Republic
Company Website
www.jetbrains.com/dataspell/
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/
Categories and Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
IDE
Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services