Software Alternatives, Accelerators & Startups

AWS Certificate Manager VS Google Cloud Dataflow

Compare AWS Certificate Manager VS Google Cloud Dataflow and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

AWS Certificate Manager logo AWS Certificate Manager

AWS Certificate Manager from Amazon Web Services (AWS)

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • AWS Certificate Manager Landing page
    Landing page //
    2023-04-15
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

AWS Certificate Manager features and specs

  • Automated Certificate Management
    AWS Certificate Manager automates the creation, renewal, and deployment of SSL/TLS certificates, reducing manual effort and the risk of human error.
  • Seamless Integration
    AWS Certificate Manager integrates easily with other AWS services such as Elastic Load Balancing (ELB), Amazon CloudFront, and Amazon API Gateway, simplifying the process of securing web applications.
  • Free Public Certificates
    AWS offers free public SSL/TLS certificates through AWS Certificate Manager, allowing users to secure their domains without additional cost.
  • Enhanced Security
    Automated renewal and deployment of certificates help ensure that your applications and services remain secure and compliant with industry standards.
  • Scalability
    AWS Certificate Manager can handle a large number of certificates, making it suitable for enterprises with many domains and subdomains.

Possible disadvantages of AWS Certificate Manager

  • AWS Ecosystem Dependency
    AWS Certificate Manager is deeply integrated with AWS services, which can be a limitation for businesses that utilize multi-cloud or hybrid cloud strategies.
  • Limited Customization
    Users have less control over certificate details and configurations compared to managing their own certificates manually or through other certificate authorities.
  • Proprietary Limitations
    AWS Certificate Manager's certificates can only be used with supported AWS services, which restricts their use in non-AWS environments.
  • Region Availability
    Some AWS regions may have limited support or features for AWS Certificate Manager compared to others, which can affect global deployment strategies.
  • Learning Curve
    New users may find it challenging to understand and utilize all the features and integrations provided by AWS Certificate Manager without sufficient AWS knowledge.

Google Cloud Dataflow features and specs

  • Scalability
    Google Cloud Dataflow can automatically scale up or down depending on your data processing needs, handling massive datasets with ease.
  • Fully Managed
    Dataflow is a fully managed service, which means you don't have to worry about managing the underlying infrastructure.
  • Unified Programming Model
    It provides a single programming model for both batch and streaming data processing using Apache Beam, simplifying the development process.
  • Integration
    Seamlessly integrates with other Google Cloud services like BigQuery, Cloud Storage, and Bigtable.
  • Real-time Analytics
    Supports real-time data processing, enabling quicker insights and facilitating faster decision-making.
  • Cost Efficiency
    Pay-as-you-go pricing model ensures you only pay for resources you actually use, which can be cost-effective.
  • Global Availability
    Cloud Dataflow is available globally, which allows for regionalized data processing.
  • Fault Tolerance
    Built-in fault tolerance mechanisms help ensure uninterrupted data processing.

Possible disadvantages of Google Cloud Dataflow

  • Steep Learning Curve
    The complexity of using Apache Beam and understanding its model can be challenging for beginners.
  • Debugging Difficulties
    Debugging data processing pipelines can be complex and time-consuming, especially for large-scale data flows.
  • Cost Management
    While it can be cost-efficient, the costs can rise quickly if not monitored properly, particularly with real-time data processing.
  • Vendor Lock-in
    Using Google Cloud Dataflow can lead to vendor lock-in, making it challenging to migrate to another cloud provider.
  • Limited Support for Non-Google Services
    While it integrates well within Google Cloud, support for non-Google services may not be as robust.
  • Latency
    There can be some latency in data processing, especially when dealing with high volumes of data.
  • Complexity in Pipeline Design
    Designing pipelines to be efficient and cost-effective can be complex, requiring significant expertise.

AWS Certificate Manager videos

How can I add certificates for websites to the ELB using AWS Certificate Manager?

Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to AWS Certificate Manager and Google Cloud Dataflow)
Domain Name Registrar
100 100%
0% 0
Big Data
0 0%
100% 100
Network & Admin
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using AWS Certificate Manager and Google Cloud Dataflow. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare AWS Certificate Manager and Google Cloud Dataflow

AWS Certificate Manager Reviews

We have no reviews of AWS Certificate Manager yet.
Be the first one to post

Google Cloud Dataflow Reviews

Top 8 Apache Airflow Alternatives in 2024
Google Cloud Dataflow is highly focused on real-time streaming data and batch data processing from web resources, IoT devices, etc. Data gets cleansed and filtered as Dataflow implements Apache Beam to simplify large-scale data processing. Such prepared data is ready for analysis for Google BigQuery or other analytics tools for prediction, personalization, and other purposes.
Source: blog.skyvia.com

Social recommendations and mentions

Based on our record, AWS Certificate Manager should be more popular than Google Cloud Dataflow. It has been mentiond 24 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 Certificate Manager mentions (24)

View more

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: over 2 years ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 2 years ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 2 years ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 2 years ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing AWS Certificate Manager and Google Cloud Dataflow, you can also consider the following products

Google Authenticator - Google Authenticator is a multifactor app for mobile devices.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Authy - Best rated Two-Factor Authentication smartphone app for consumers, simplest 2fa Rest API for developers and a strong authentication platform for the enterprise.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Azure Multi-Factor Authentication - Azure Multi-Factor Authentication helps safeguard access to data and applications while meeting user demand for a simple sign-in process.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?