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Which is more popular?
Based on our record, TradingView
seems to be more popular. It has been mentioned
258 times
since March 2021.
social mentions
258 vs 0
Finance popularity
100% vs 0%
alternatives listed
240+ vs 176
Base details
Website, pricing, platforms and company facts side by side.
User-friendly Interface TradingView offers a clean and intuitive interface that is easy for both beginners and experienced traders to navigate.
Comprehensive Charting Tools The platform provides a wide range of charting tools, including indicators, drawing tools, and customizable chart types to conduct in-depth technical analysis.
Cloud-based Platform Being cloud-based, TradingView allows users to access their charts and settings from any device with internet access, ensuring flexibility and convenience.
Social Community TradingView has a strong community aspect where users can share ideas, analysis, and strategies, fostering a collaborative environment.
Data Coverage The platform supports data from a variety of global markets, including stocks, forex, cryptocurrencies, and commodities, providing broad market coverage.
Pine Script TradingView offers its own scripting language, Pine Script, which allows users to create custom indicators and strategies.
Possible disadvantages
Subscription Cost While TradingView offers a free tier, advanced features and additional data require a subscription that may be costly for some users.
Limited Broker Integration The number of brokers integrated with TradingView for direct trading is limited, which may be a drawback for users whose preferred brokers are not supported.
Data Delays Free tier users may experience delays in data feeds, which can be critical during fast market movements.
Customization Restrictions Some advanced customization options for charts and tools are restricted to higher subscription levels.
Learning Curve for Pine Script Although powerful, Pine Script has a learning curve, which may be challenging for users who are not familiar with coding.
User-Friendly Interface Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
Collaborative Environment The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
End-to-End Workflow Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
Integrations and Extensibility The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
Automation Capabilities Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
Rich Documentation and Support Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.
Possible disadvantages
Pricing Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
Resource Intensive The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
Learning Curve for Advanced Features Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
Limited Offline Capabilities Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
Custom Model Flexibility While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
Dependency on Ecosystem The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.
TradingView has changed their pricing and many users are not happy, especially those who use replay and multiple alerts. If you use the platform for charting, analysis and notifications and the shift from 5 alerts to...
Overall, while TradingView is good for charting and casual testing, and it also has many other features for traders, besides backtesting. TradingView is good for traders who want to interact and trade in real-time but...
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that...
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data...
Social recommendations and mentions
Recommendations tracked on public social media and blogs since March 2021.
TradingView258 mentionsDataiku0 mentions
Going from paper trading to real money. Best way to go about this?
What is my best option here to move forward and play with $10 on tradingview.com.
Source:
over 3 years ago
Investing.com is a financial markets platform (website & android/iOS app) providing real-time data, quotes, charts, financial tools, breaking news and analysis across 250 exchanges around the world in 44 language editions.