Software Alternatives, Accelerators & Startups

Informatica Intelligent Data Platform VS AWS Lambda

Compare Informatica Intelligent Data Platform VS AWS Lambda and see what are their differences

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Informatica Intelligent Data Platform logo Informatica Intelligent Data Platform

Unleash data's potential with Informatica infrastructure services that all roll up under a robust and intelligent data integration platform.

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • Informatica Intelligent Data Platform Landing page
    Landing page //
    2023-02-04
  • AWS Lambda Landing page
    Landing page //
    2023-04-29

Informatica Intelligent Data Platform features and specs

  • Comprehensive Data Integration
    Informatica Intelligent Data Platform offers robust tools for data integration, allowing organizations to seamlessly integrate data from various sources. This ensures accuracy and consistency across enterprise data.
  • Scalability
    The platform is designed to scale with the organization’s needs, accommodating increasing volumes of data without compromising performance.
  • Advanced Data Management
    The platform provides advanced data management capabilities, including data quality, data governance, and metadata management, ensuring that data is reliable and trusted.
  • Cloud and Hybrid Deployments
    Informatica supports both cloud and on-premises deployments, providing flexibility to move data across different environments according to business requirements.
  • User-Friendly Interface
    The platform features an intuitive and user-friendly interface, making it easier for users to perform complex data tasks without extensive technical expertise.

Possible disadvantages of Informatica Intelligent Data Platform

  • Complexity
    Given its vast array of features and capabilities, getting started with Informatica can be complex, requiring significant time and expertise to implement effectively.
  • Cost
    Informatica can be costly, especially for small to medium enterprises, as its licensing and operational costs may be prohibitive compared to other data management solutions.
  • Steep Learning Curve
    New users may experience a steep learning curve due to the depth of features offered, necessitating comprehensive training and possibly impacting productivity initially.
  • Integration Challenges
    While integration is a strength, there can be challenges when dealing with very diverse or legacy systems, potentially requiring custom solutions.
  • Dependency on Vendor
    Organizations may experience dependency on Informatica for updates, support, and additional features, which can affect flexibility and long-term planning.

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.

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.

Informatica Intelligent Data Platform videos

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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

Category Popularity

0-100% (relative to Informatica Intelligent Data Platform and AWS Lambda)
Data Integration
100 100%
0% 0
Cloud Computing
0 0%
100% 100
Data Dashboard
100 100%
0% 0
Cloud Hosting
0 0%
100% 100

User comments

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Reviews

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

Informatica Intelligent Data Platform Reviews

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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

Social recommendations and mentions

Based on our record, AWS Lambda seems to be more popular. It has been mentiond 277 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.

Informatica Intelligent Data Platform mentions (0)

We have not tracked any mentions of Informatica Intelligent Data Platform yet. Tracking of Informatica Intelligent Data Platform recommendations started around Mar 2021.

AWS Lambda mentions (277)

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What are some alternatives?

When comparing Informatica Intelligent Data Platform and AWS Lambda, you can also consider the following products

Denodo - Denodo delivers on-demand real-time data access to many sources as integrated data services with high performance using intelligent real-time query optimization, caching, in-memory and hybrid strategies.

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.

data.world - The social network for data people

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

MarkLogic Data Hub Platform - Data Hub Central is the collaborative, self-service user experience for building your cloud data hub on MarkLogic Data Hub Service.

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