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AWS Auto Scaling VS Informatica Enterprise Data Integration

Compare AWS Auto Scaling VS Informatica Enterprise Data Integration and see what are their differences

AWS Auto Scaling logo AWS Auto Scaling

Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.

Informatica Enterprise Data Integration logo Informatica Enterprise Data Integration

Learn how Informatica's data integration products integrate all of your data and applications, in batch or real time.
  • AWS Auto Scaling Landing page
    Landing page //
    2023-02-26
  • Informatica Enterprise Data Integration Landing page
    Landing page //
    2023-01-03

AWS Auto Scaling features and specs

  • Cost Efficiency
    AWS Auto Scaling helps reduce costs by automatically adjusting the number of running instances based on demand, ensuring that you only pay for what you use.
  • Improved Availability
    It enhances application availability by ensuring that applications always have the correct number of resources running to handle current workload demands.
  • Scalability
    AWS Auto Scaling enables applications to scale seamlessly both vertically and horizontally, accommodating both predictable and unpredictable workload patterns.
  • Load Balancing Integration
    Easily integrates with AWS Elastic Load Balancing, automatically distributing incoming application traffic across multiple targets such as Amazon EC2 instances.
  • Deploy Management
    Facilitates management of deployment processes by automatically scaling resources during deployments or updates to minimize service disruption.

Possible disadvantages of AWS Auto Scaling

  • Complexity
    Setting up and managing Auto Scaling can become complex, requiring careful planning to properly configure scaling policies and thresholds.
  • Latency in Scale Up
    There can be a delay in acquiring new resources when scaling up, as launching and configuring new instances takes some time.
  • Cost Management
    While cost management is an advantage, improperly configured auto scaling can lead to unexpected costs if there are spikes in demand.
  • Monitoring Requirements
    Constant monitoring and adjustments may be needed to ensure auto scaling policies align with business needs and performance metrics.
  • Learning Curve
    For newcomers, there can be a steep learning curve involved in understanding and effectively leveraging AWS Auto Scaling and related services.

Informatica Enterprise Data Integration features and specs

  • Scalability
    Informatica Enterprise Data Integration offers robust scalability, which allows businesses to handle increasing volumes of data and users without degrading performance.
  • Comprehensive Connectivity
    It supports a wide range of data sources and platforms, providing extensive pre-built connectors and APIs for seamless data integration across cloud, on-premise, and hybrid environments.
  • User-Friendly Interface
    The platform offers an intuitive and easy-to-use interface that simplifies the process of data mapping and transformation for users, reducing the learning curve for new users.
  • Strong Data Governance
    In-built features for data quality management and governance allow businesses to maintain high standards of data integrity and compliance.
  • Automation and Real-time Processing
    The solution supports automated data workflows and real-time data processing, enabling faster and more efficient data handling and analysis.

Possible disadvantages of Informatica Enterprise Data Integration

  • Cost
    Informatica's solutions can be expensive, especially for smaller businesses or startups with limited budgets, as it involves software, hardware, and potentially consulting costs.
  • Complexity
    While the interface is user-friendly, the solution itself can become quite complex when dealing with extensive customization or integration of large data systems, requiring skilled resources to manage.
  • Resource Intensive
    To optimize its functionality, the platform may require significant IT resources and infrastructure, which might not be feasible for all organizations.
  • Steep Learning Curve
    Although designed to be user-friendly, mastering the full suite of features offered by Informatica can take time, especially for non-technical users or those new to data integration.
  • Upgrades and Maintenance
    Regular updates and maintenance can be cumbersome, potentially disrupting business operations and requiring additional administrative overhead.

Category Popularity

0-100% (relative to AWS Auto Scaling and Informatica Enterprise Data Integration)
Development
100 100%
0% 0
Monitoring Tools
57 57%
43% 43
Diagnostics Software
100 100%
0% 0
Data Integration
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, AWS Auto Scaling seems to be more popular. It has been mentiond 12 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 Auto Scaling mentions (12)

  • Scalability: Explained
    This is a strategy mainly used in cloud environments, where resources are automatically scaled up or down based on real-time incoming traffic. AWS Auto Scaling helps you scale your applications hosted in AWS platform with a seamless experience. - Source: dev.to / 10 months ago
  • Building a Greener Cloud: The Role of an Architect for Sustainability in AWS
    AWS Auto-Scaling is a service that automatically adjusts the capacity of an application in response to changing demand. It monitors resource utilization and scales resources up or down as necessary. By using AWS Auto Scaling, businesses can ensure that their applications are always running at optimal performance levels, without wasting resources or energy. - Source: dev.to / over 2 years ago
  • AWS vs Digital Ocean cost comparison in 2022
    Auto scaling lets you scale in/out your servers based on various conditions. So, you could choose to have a minimum capacity as default and let AWS scale it up automatically when needed. You could also schedule the scaling events based on time (For ex: scale to 2x servers during peak times and back to normal during normal hours) There are also other benefits that come with AWS like better eco-system of tools and... - Source: dev.to / over 2 years ago
  • Hidden, absolutely broken, mechanics
    Guys, whats this? Sounds kinda OP if you ask me Https://aws.amazon.com/autoscaling/. Source: over 3 years ago
  • A first impression of AWS App Runner
    AWS Auto Scaling – Makes sure that the application scales based on the number of concurrent requests. - Source: dev.to / over 3 years ago
View more

Informatica Enterprise Data Integration mentions (0)

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

What are some alternatives?

When comparing AWS Auto Scaling and Informatica Enterprise Data Integration, you can also consider the following products

Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.

ChainSys dataZap - The ChainSys dataZap is one platform for data and setup migrations, integrations, reconciliations, big data ingestions and archival. Read on to learn more.

Zing - The worry-freeinternational money app

HVR - Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

MxToolBox - All of your MX record, DNS, blacklist and SMTP diagnostics in one integrated tool.

Talend Open Studio - Connect to any data source in batch or real-time, across any platform. Download Talend Open Studio today to start working with Hadoop and NoSQL.