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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.

What is CodeNOW?

CodeNOW serves as the ultimate DevOps platform for organizations aiming to achieve the speed, frequency, and dependability of leading digital companies, all while avoiding significant IT expenditures and maintaining focus on their primary business objectives. Recognized by Gartner as a DevOps Value Stream Delivery Platform (DevOps VSDP) and classified as mainstream in 2023, CodeNOW provides a comprehensive, cloud-native, and cloud-agnostic solution that encompasses the entire software delivery life cycle through the integration of 40 proven open-source tools, including Gitlab, Swagger, and Kubernetes, among others. Users of CodeNOW benefit from a platform as a service (PaaS) model that eliminates vendor lock-in and maintenance expenses, allowing them to maximize their existing team’s potential rather than hiring additional costly and scarce DevOps specialists. This abstraction and automation of infrastructure enable DevOps and operations teams to redirect their focus toward business and operational metrics, liberating them from mundane delivery tasks. As a result, development teams gain complete ownership of their software, managing everything from coding requirements to deployment and cloud operations, which enhances their job satisfaction and accelerates feedback loops, ultimately leading to a more streamlined workflow. Consequently, the platform not only empowers teams but also transforms their approach to software development and delivery, fostering a culture of innovation and responsiveness.

Media

Media

Integrations Supported

Apache Spark
RadiantOne
Switch Automation

Integrations Supported

Apache Spark
RadiantOne
Switch Automation

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€9 per month
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/analytics/ca/en/technology/cloud-data-services/spark-as-a-service/

Company Facts

Organization Name

Stratox Cloud Native

Company Location

Czech Republic

Company Website

www.codenow.com

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

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development

Continuous Delivery

Application Lifecycle Management
Application Release Automation
Build Automation
Build Log
Change Management
Configuration Management
Continuous Deployment
Continuous Integration
Feature Toggles / Feature Flags
Quality Management
Testing Management

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

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