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Polygon.io VS s3-lambda

Compare Polygon.io VS s3-lambda and see what are their differences

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Polygon.io logo Polygon.io

Polygon.io offers streaming realtime data for stocks/equities, ETFs, Indecies and Forex/Currencies including crypto currencies. Our Real-Time Stock Data APIs help you build the future on fintech.

s3-lambda logo s3-lambda

Lambda functions over S3 objects: each, map, reduce, filter
  • Polygon.io Landing page
    Landing page //
    2023-08-18
  • s3-lambda Landing page
    Landing page //
    2022-11-04

Polygon.io features and specs

  • Comprehensive Data Coverage
    Polygon.io offers a wide range of financial data, including stocks, forex, and crypto, making it a one-stop solution for financial data needs.
  • Real-time Data
    The platform provides real-time data feeds, which are crucial for traders and financial analysts to make timely decisions.
  • Developer-friendly API
    Polygon.io has a well-documented and easy-to-use API, which simplifies the integration process for developers looking to access financial data.
  • Historical Data Access
    Users can access extensive historical data through the platform, enabling backtesting and historical analysis of financial instruments.
  • Customizable Subscription Plans
    Polygon.io offers various subscription tiers, allowing users to select the level of access that best fits their needs and budget.

Possible disadvantages of Polygon.io

  • Cost
    For some users, the subscription fees may be considered expensive, especially for smaller businesses or individual investors.
  • Data Limits on Free Tier
    The free access tier has limitations on data availability and usage, which might be restrictive for more demanding applications.
  • Learning Curve
    Despite being developer-friendly, there may still be a learning curve for users who are not familiar with APIs or need specific data integrations.
  • Dependence on Internet Connectivity
    As an online service, uninterrupted access to Polygon.io's data depends on a stable internet connection.
  • Potential Overwhelming Features
    With an extensive range of features and data sets, beginners might find the platform overwhelming without clear guidance or use-case examples.

s3-lambda features and specs

  • Batch processing of S3 objects
    s3-lambda provides a straightforward way to perform batch operations on large numbers of S3 objects, enabling map, filter, and reduce-style processing over entire S3 buckets or prefixes without writing boilerplate code.
  • Familiar functional API
    The library uses a functional programming paradigm with operations like map, filter, and reduce, making it intuitive for JavaScript developers to process S3 objects using patterns they already know.
  • Built-in concurrency control
    s3-lambda handles parallel processing of S3 objects with configurable concurrency, allowing users to control how many operations run simultaneously and avoid overwhelming AWS resources or hitting rate limits.
  • Context-aware operations
    The library provides a context object within each operation that includes useful metadata about the current object being processed, simplifying access to S3 object properties during transformations.
  • Easy integration with Lambda
    Designed to work seamlessly within AWS Lambda functions, making it straightforward to set up event-driven, serverless pipelines for processing large volumes of S3 data without managing infrastructure.

Possible disadvantages of s3-lambda

  • Unmaintained project
    The repository appears to be no longer actively maintained, with limited recent commits and unresolved issues, which raises concerns about long-term reliability, security patches, and compatibility with newer AWS SDK versions.
  • Limited documentation
    The project's documentation is relatively sparse, lacking comprehensive examples, edge case handling guidance, and detailed API references, which can make it challenging for new users to adopt effectively.
  • AWS SDK version dependency
    The library depends on an older version of the AWS SDK for JavaScript, which may conflict with projects using the newer AWS SDK v3 and could miss out on performance improvements and features in updated SDKs.
  • Limited error handling flexibility
    The built-in error handling mechanisms are relatively basic, and handling partial failures or implementing sophisticated retry logic for individual object operations requires additional custom code from the developer.
  • Narrow scope of functionality
    The library is tightly focused on S3 object processing and does not integrate with other AWS services or provide utilities beyond basic map/filter/reduce operations, limiting its usefulness in more complex data pipeline scenarios.

Analysis of s3-lambda

Overall verdict

  • s3-lambda is a useful Node.js library for performing operations like map, reduce, and filter directly on S3 objects using Lambda, making it good for developers who need efficient, serverless-based batch processing of S3 data without managing infrastructure. It is well suited for smaller to medium projects but may not be actively maintained for enterprise-scale needs.

Why this product is good

  • Simplifies common S3 batch operations (map, filter, reduce) with a clean, functional API
  • Leverages AWS Lambda for scalable, serverless parallel processing of S3 objects
  • Reduces boilerplate code for iterating over and transforming large numbers of S3 objects
  • Open-source and free to use, allowing customization for specific workflows
  • Integrates well with existing AWS infrastructure and Node.js applications

Recommended for

  • Developers building serverless data pipelines on AWS
  • Teams needing to process or transform large sets of S3 objects without provisioning servers
  • Node.js developers looking for a functional programming approach to S3 operations
  • Projects with batch processing needs that fit within Lambda's execution limits
  • Prototyping or small-to-medium scale ETL tasks involving S3 data

Polygon.io videos

+ Add

Get Stock Pricing Data From The Polygon.io API For Algo-Trading Using Python

s3-lambda videos

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Category Popularity

0-100% (relative to Polygon.io and s3-lambda)

Polygon.io

s3-lambda

Finance
100 100%
Finance
0% 0
Relational Databases
0 0%
Relational Databases
100% 100
Investing
100 100%
Investing
0% 0
Database Tools
0 0%
Database Tools
100% 100

User comments

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Social recommendations and mentions

Based on our record, Polygon.io seems to be more popular. It has been mentiond 85 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Polygon.io mentions (85)

  • Build an Unusual Options Activity Scanner With Python and Free Data
    Polygon.io gives you 5 API calls/minute on the free tier. That’s rough for options scanning since you need one call per expiration per symbol. I’d only recommend this if you’re scanning fewer than 20 symbols. - Source: dev.to / 5 months ago
  • Latency Wars: The Architecture Of A Real-Time Trading Game
    The market data will be streamed from polygon.io. All trades should be handled by the Game Engine, so in the simplest form, the architecture looks like this:. - Source: dev.to / 12 months ago
  • Driving Smarter Decisions: Using Share Price APIs for Data-Driven Marketing
    Here are some valuable resources for developers exploring share price API solutions: Alpha Vantage API: A free platform offering extensive stock market data, including historical trends and real-time updates. Yahoo Finance API: A widely used service providing comprehensive financial data. Polygon.io: A robust tool for real-time market data and aggregated information across various financial markets. IEX Cloud:... - Source: dev.to / over 1 year ago
  • The use of API on a web app, considered individual or commercial use?
    I am building a web app, and I would like to use the polygon.io API on the back-end to forecast the market sentiment. The individual upgrade is $200, while business upgrade would cost $2000. Would my use of the API considered personal or commercial? Source: almost 3 years ago
  • ChatGPT is going to revolutionize the stock market (with data)
    It's worth mentioning that we use polygon.io to provide market information, which has the ability to specify time frames for data. Each ChatGPT call will have the appropriate information at the time it should. We also use a temperature of 0, as we want idempotent predictions. Source: about 3 years ago
View more

s3-lambda mentions (0)

We have not tracked any mentions of s3-lambda yet. Tracking of s3-lambda recommendations started around Mar 2021.

What are some alternatives?

When comparing Polygon.io and s3-lambda, you can also consider the following products

Alpha Vantage - Alpha Vantage offers free APIs in JSON and CSV formats for realtime and historical stock and forex data, digital/crypto currency data and over 50 technical indicators.

Twelve Data - The simplest and most effective way to access both realtime and historical stock, forex, cryptocurrency data, and over 100 technical indicators.

Financial Modeling Prep - Access all stocks discounted cash flow statements, market price, stock markets news, and learn more about Financial Modeling. Learn M&A, LBO, DCF, Comps, and Financial Statement Modeling thought concrete examples

Alpaca - Open links from Slack via desktop apps: Notion, Spotify, Zoom, Miro, Telegram, Airtable, Figma and VK.

Alpaca Trading API - Simple REST API for commission-free stock trading

Finage - Finage is a next-generation market data feeds provider. We are providing 60.000+ financial data feeds in real-time and historical via APIs and WebSockets such as; Global Stock, Forex, Cryptocurrency, ETFs, Indices, and financial statements, and more.

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