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Description
For many years, businesses have been led to believe that they would receive effective solutions for application modernization, digital product innovation, and no-code or low-code development options. Unfortunately, these assurances fell short, leaving organizations with numerous fragmented point solutions that lack scalability, ultimately chaining them to proprietary languages and rigid vendor offerings. Companies are now confronted with a pressing requirement for modernization, as approximately 80% of their IT budgets are tied up in outdated legacy systems. There's a strong demand for quick integrations paired with simplified, cost-effective implementation strategies. The competitive landscape is fierce; not only is it challenging to capture market share, but achieving growth is even more daunting. To thrive, enterprises must create intricate omnichannel digital products that deliver superior user experiences. Frustration is mounting among developers who feel trapped by proprietary programming languages and escalating vendor costs due to add-ons. Therefore, large enterprises urgently need the flexibility to easily construct and enhance their digital platforms without limitations. This need for adaptability is crucial for sustaining their competitive edge in a rapidly evolving market.
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
Integrations
Apache Spark
RadiantOne
Switch Automation
Pricing Details
No price information available.
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
FlowX.AI
Founded
2020
Country
United States
Website
www.flowx.ai/
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
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
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