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AWS Lambda VS Column

Compare AWS Lambda VS Column and see what are their differences

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AWS Lambda logo AWS Lambda

Automatic, event-driven compute service

Column logo Column

Social network built to be high-signal in a world of noise.
  • AWS Lambda Landing page
    Landing page //
    2023-04-29
  • Column Landing page
    Landing page //
    2022-07-30

AWS Lambda features and specs

  • Scalability
    AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
  • Cost-effectiveness
    You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
  • Reduced Operations Overhead
    AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
  • Flexibility
    Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
  • Integration with Other AWS Services
    Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
  • Automatic Scaling and Load Balancing
    Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

  • Cold Start Latency
    The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
  • Resource Limits
    Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
  • Vendor Lock-in
    Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
  • Complexity of Debugging
    Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
  • Cold Start Issues with VPC
    When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
  • Limited Execution Control
    AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

Column features and specs

  • Bank-owned infrastructure
    Column operates as a nationally chartered bank itself (Column N.A.), rather than partnering with a third-party sponsor bank. This reduces the layers of intermediaries typical in banking-as-a-service models, potentially leading to more reliable service, fewer conflicts of interest, and direct control over compliance and risk management.
  • Developer-first API design
    Column offers modern, well-documented REST APIs that are designed with engineers in mind, making it easier for fintech companies and developers to integrate banking services such as ACH, wire transfers, and account management directly into their products.
  • Direct access to payment rails
    Because Column is a chartered bank, it has direct access to Federal Reserve systems like ACH, Fedwire, and FedNow, which can result in faster processing times and more reliable payment operations compared to companies relying on indirect access through sponsor banks.
  • Experienced leadership
    Column was founded by William Hockey, co-founder of Plaid, bringing significant fintech industry experience and credibility. This background can inspire confidence among potential partners and investors regarding the platform's vision and execution capability.
  • Transparent and flexible pricing
    Column is known for offering clear, usage-based pricing models without hidden fees, which can be appealing to startups and fintechs looking for predictable costs as they scale their banking operations.

Possible disadvantages of Column

  • Limited track record
    As a relatively new entrant in the banking-as-a-service and chartered bank space, Column has less historical performance data and fewer long-term case studies compared to more established banking infrastructure providers, which may create uncertainty for risk-averse clients.
  • U.S.-only operations
    Column's banking charter and services are limited to the United States, which restricts its usefulness for companies seeking to offer banking services internationally or in multiple countries.
  • Technical integration burden
    Because Column emphasizes a developer-first, API-driven approach, companies without strong in-house engineering resources may find it challenging to implement and maintain integrations compared to more turnkey banking-as-a-service solutions.
  • Shared compliance responsibility
    While Column handles core banking compliance, partner companies still need to manage certain regulatory and compliance obligations related to their specific use cases, which can add complexity and require dedicated legal or compliance expertise.
  • Smaller ecosystem and support network
    Compared to larger, more established banking-as-a-service providers, Column may have a smaller partner ecosystem, fewer third-party integrations, and potentially less extensive customer support infrastructure, which could impact scalability for some businesses.

Analysis of AWS Lambda

Overall verdict

  • AWS Lambda is a strong choice for developers looking for scalable, event-driven applications with minimal management overhead. It is particularly beneficial for applications that experience intermittent traffic or unpredictable workloads.

Why this product is good

  • AWS Lambda is a popular serverless computing service because it allows users to run code without provisioning or managing servers. It automatically scales applications by running code in response to triggers such as HTTP requests, changes in data, or system events. This can significantly reduce operational overhead and costs, as you only pay for the compute time you consume.

Recommended for

  • Developers building microservices or serverless applications.
  • Companies looking to reduce infrastructure management.
  • Startups wanting to quickly deploy applications with limited operational costs.
  • Organizations needing to integrate with other AWS services for a comprehensive solution.
  • Projects with unpredictable or variable workloads that require automatic scaling.

Analysis of Column

Overall verdict

  • Column is a well-regarded banking-as-a-service (BaaS) platform because it operates as a nationally chartered bank itself rather than relying on a separate partner bank, which simplifies compliance, reduces intermediary risk, and gives developers direct API-level access to core banking functions like payments, accounts, and card issuing.

Why this product is good

  • It is a real, chartered bank (not just a middleware layer), which reduces the multi-party risk seen in typical BaaS stacks that rely on third-party partner banks
  • Developer-first design with clean, well-documented APIs for building payments, ACH, wire transfers, card issuing, and account management
  • Backed by reputable investors (including Stripe), signaling strong technical and financial credibility
  • Direct access to the Fed and payment rails, which can mean faster settlement and fewer intermediaries
  • Transparent, predictable pricing structure compared to some legacy BaaS providers
  • Strong focus on compliance and risk infrastructure built into the platform itself

Recommended for

  • Fintech startups building embedded banking, lending, or payments products
  • Companies wanting to avoid the complexity and risk of traditional sponsor-bank BaaS relationships
  • Engineering-heavy teams that prioritize API quality and control over banking infrastructure
  • Businesses needing reliable ACH, wire, and card issuing capabilities without building their own bank relationships
  • Mid-to-large scale fintechs that need a stable, directly regulated banking partner as they grow

AWS Lambda videos

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Column videos

No Column videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Lambda and Column

AWS Lambda Reviews

Top 7 Firebase Alternatives for App Development in 2024
AWS Lambda is suitable for applications with varying workloads and those already using the AWS ecosystem.
Source: signoz.io

Column Reviews

We have no reviews of Column yet.
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Social recommendations and mentions

Based on our record, AWS Lambda seems to be more popular. It has been mentiond 297 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.

AWS Lambda mentions (297)

  • Serverless with Mama J โ€” Why Serverless
    AWS Lambda is a service that runs your code without you managing any servers. You write your code, deploy it to Lambda, and it takes care of the infrastructure โ€” servers, networking, security, and scaling. - Source: dev.to / 3 months ago
  • Enriching Free Trial Signups: The PLG Data Stack for Turning Inbound Users Into Qualified Pipeline
    Clay can replace the Lambda and API chain if you'd rather avoid custom code. You set up a Clay table as the enrichment layer, trigger it from Segment via webhook, and it handles the waterfall and CRM push without writing a function. The tradeoff: less control over scoring logic and higher cost per enriched contact. - Source: dev.to / 3 months ago
  • Dynamic Looping Comes to AWS SAM
    To show why this matters, take a look at the following example. I have three AWS Lambda functions, Lambda being the serverless compute service, that each handle a different endpoint on the same API. But, almost everything about them is the same. They have the same runtime, the same memory configuration, and nearly the same structure. The only differences are the name, handler, and possibly some environment variables. - Source: dev.to / 3 months ago
  • AIP-C01 last-minute revision: exam traps, memory hooks, and quick notes
    Query Expansion and Decomposition: Amazon Bedrock query expansion broadens search; AWS Lambda query decomposition breaks complex queries into sub-queries; AWS Step Functions orchestrates multi-step retrieval. - Source: dev.to / 4 months ago
  • Why AWS Certified GenAI Developer stands apart from other AWS certs
    You need to understand synchronous and asynchronous inference patterns, event-driven architectures using Amazon EventBridge, workflow orchestration with AWS Step Functions, data processing with AWS Lambda, state management with Amazon DynamoDB, and security with AWS Identity and Access Management (IAM). The exam tests your ability to design serverless architectures that scale automatically, handle failures... - Source: dev.to / 4 months ago
View more

Column mentions (0)

We have not tracked any mentions of Column yet. Tracking of Column recommendations started around Apr 2022.

What are some alternatives?

When comparing AWS Lambda and Column, you can also consider the following products

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

DynamoDB - Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.

Google Cloud Functions - A serverless platform for building event-based microservices.

Amazon AWS - Amazon Web Services offers reliable, scalable, and inexpensive cloud computing services. Free to join, pay only for what you use.