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Description

CodeNOW is the DevOps platform for businesses that want to deliver software with the efficiency, frequency, and reliability of digital leaders—without the large IT investments and the distraction from their core business. CodeNOW is listed by Gartner as a DevOps Value Stream Delivery Platform (DevOps VSDP)—category mainstream in 2023 according to Gartner. CodeNOW is cloud-native, cloud-agnostic and covers the full software delivery life cycle by integrating 40 battle-tested open-source solutions (Gitlab, Swagger, Karate, SonarQube, Nexus, Tekton, ArgoCD, Kubernetes, Docker, Helm, Istio, Jenkins, Terraform, and more). CodeNOW users experience no vendor lock-in nor maintenance costs (PaaS model). They do more with the team they already have vs. recruiting of extra expensive, hard-to-find DevOps engineers. With infrastructure abstracted and automated away in the platform, DevOps and Ops teams report freeing time to focus back again on business and operations metrics instead of repetitive delivery tasks. Dev teams can take end-to-end ownership of their own software, from coding requirements to delivering and operating it in the cloud. Developers describe a higher sense of fulfillment, a faster feedback cycle and improved flow.

Description

IBM Analytics for Apache Spark offers a versatile and cohesive Spark service that enables data scientists to tackle ambitious and complex inquiries while accelerating the achievement of business outcomes. This user-friendly, continually available managed service comes without long-term commitments or risks, allowing for immediate exploration. Enjoy the advantages of Apache Spark without vendor lock-in, supported by IBM's dedication to open-source technologies and extensive enterprise experience. With integrated Notebooks serving as a connector, the process of coding and analytics becomes more efficient, enabling you to focus more on delivering results and fostering innovation. Additionally, this managed Apache Spark service provides straightforward access to powerful machine learning libraries, alleviating the challenges, time investment, and risks traditionally associated with independently managing a Spark cluster. As a result, teams can prioritize their analytical goals and enhance their productivity significantly.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Spark
RadiantOne
Switch Automation

Integrations

Apache Spark
RadiantOne
Switch Automation

Pricing Details

€9 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Stratox Cloud Native

Country

Czech Republic

Website

www.codenow.com

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

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

Product 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

Product 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

Alternatives

Alternatives

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