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IBM Streaming Analytics VS Google Cloud Pub/Sub

Compare IBM Streaming Analytics VS Google Cloud Pub/Sub and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

IBM Streaming Analytics logo IBM Streaming Analytics

IBM Streaming Analytics enables you to analyze a broad range of streaming text, video, audio, geospatial and sensor data.

Google Cloud Pub/Sub logo Google Cloud Pub/Sub

Cloud Pub/Sub is a flexible, reliable, real-time messaging service for independent applications to publish & subscribe to asynchronous events.
  • IBM Streaming Analytics Landing page
    Landing page //
    2023-02-11
  • Google Cloud Pub/Sub Landing page
    Landing page //
    2023-03-23

IBM Streaming Analytics features and specs

No features have been listed yet.

Google Cloud Pub/Sub features and specs

  • Scalability
    Google Cloud Pub/Sub is designed to handle large volumes of messages, allowing it to scale effortlessly to accommodate varying workloads.
  • Global Availability
    The service is globally distributed, ensuring low-latency access and reliability wherever your application is hosted.
  • Asynchronous Communication
    Supports asynchronous communication between services, decoupling the producer and consumer, leading to better fault tolerance and resource utilization.
  • Integration
    It integrates smoothly with other Google Cloud services and supports many third-party tools, enhancing its utility in diverse environments.
  • Security
    Offers robust security features including encryption of messages both at rest and in transit.
  • Managed Service
    Being a fully managed service, it reduces the operational overhead associated with maintaining messaging infrastructure.

Possible disadvantages of Google Cloud Pub/Sub

  • Cost Structure
    Depending on usage patterns, costs can increase significantly, making it difficult to predict expenses in high-throughput scenarios.
  • Complexity
    For beginners, setting up Pub/Sub and managing topics and subscriptions can be complex and require a learning curve.
  • Latency Variability
    While generally low, message delivery latency can sometimes vary, especially under peak loads.
  • Dependency on Network
    As a cloud-based service, its performance is heavily dependent on network reliability, which might not be suitable for extremely sensitive real-time applications.
  • Limited Message Retention
    By default, messages are retained for a limited period, which may not be suitable for applications needing long-term message storage.

Analysis of Google Cloud Pub/Sub

Overall verdict

  • Google Cloud Pub/Sub is a powerful and reliable messaging service that is highly regarded for its scalability, integration capabilities, and security features. It is a strong choice for businesses looking for a robust cloud-based messaging solution.

Why this product is good

  • Scalability: Google Cloud Pub/Sub is built to handle huge amounts of data, making it ideal for large-scale applications.
  • Reliability: It provides strong reliability and consistent performance due to its distributed nature across multiple data centers.
  • Integration: Pub/Sub integrates well with other Google Cloud services, enhancing its functionality and making it easier to create comprehensive cloud solutions.
  • Security: Offers robust security features including encryption at rest and in transit, aligning with Google Cloud's overall focus on security.
  • Ease of Use: It provides a user-friendly interface and comprehensive documentation, making it accessible even for those new to cloud services.

Recommended for

  • Organizations needing to process and analyze large volumes of messages in real-time.
  • Developers building cloud-native applications requiring scalable messaging services.
  • Businesses already leveraging the Google Cloud ecosystem, as Pub/Sub integrates seamlessly with other services.
  • Teams looking for a secure and reliable messaging solution with global availability.

IBM Streaming Analytics videos

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IBM Streaming Analytics and Python

Google Cloud Pub/Sub videos

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Category Popularity

0-100% (relative to IBM Streaming Analytics and Google Cloud Pub/Sub)

IBM Streaming Analytics

Google Cloud Pub/Sub

Data Management
30 30%
Data Management
70% 70
Stream Processing
13 13%
Stream Processing
87% 87
Data Integration
0 0%
Data Integration
100% 100
Search As A Service
100 100%
Search As A Service
0% 0

User comments

Share your experience with using IBM Streaming Analytics and Google Cloud Pub/Sub. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Pub/Sub seems to be more popular. It has been mentiond 15 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.

IBM Streaming Analytics mentions (0)

We have not tracked any mentions of IBM Streaming Analytics yet. Tracking of IBM Streaming Analytics recommendations started around Mar 2021.

Google Cloud Pub/Sub mentions (15)

  • Event-Driven Architecture 101
    Secondly, Go is incredibly easy to learn and in my opinion, maintain. This means that if you're a growing company and expect to onboard new teams and team members, having Go as a basis for your systems should mean that new engineers can get up to speed quickly.  Below is a small sample application that can connect to Google PubSub, subscribe to a topic, send an event and then clean up. In total, its 82 lines of... - Source: dev.to / over 1 year ago
  • Top 6 message queues for distributed architectures
    Google Cloud Pub/Sub is a fully-managed, globally scalable and secure queue provided by Google Cloud for asynchronous processing messages. Cloud Pub/Sub has many of the same advantages and disadvantages as SQS due to also being cloud hosted. It has a free and paid tier. - Source: dev.to / about 2 years ago
  • Job Scheduling on Google Cloud Platform
    Cloud Pub/Sub: A global messaging service for event-driven architectures. - Source: dev.to / about 2 years ago
  • Effortlessly Scale Your Applications with FaaS: Learn How Functions as a Service Can Help You Grow and Thrive
    Google Cloud Functions is a FaaS offering from Google Cloud Platform (GCP). It allows developers to run their code in response to events, such as changes in a database or the arrival of a message in a Pub/Sub topic. Like AWS Lambda, Google Cloud Functions can be used to build a variety of applications, including serverless websites, data processing pipelines, and real-time data streams. - Source: dev.to / over 2 years ago
  • Mixing GCloud and F#
    That gets triggered when a Pub/Sub topic is fired (from the webhook function). - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing IBM Streaming Analytics and Google Cloud Pub/Sub, you can also consider the following products

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

RabbitMQ - RabbitMQ is an open source message broker software.

PieSync - Seamless two-way sync between your CRM, marketing apps and Google in no time

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