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What is Google Cloud Pub/Sub?
Google Cloud Pub/Sub presents a powerful solution for efficient message delivery, offering the flexibility of both pull and push modes for users. Its design includes auto-scaling and auto-provisioning features, capable of managing workloads from zero to hundreds of gigabytes per second without disruption. Each publisher and subscriber functions under separate quotas and billing, which simplifies cost management across the board. Additionally, the platform supports global message routing, making it easier to handle systems that operate across various regions. Achieving high availability is straightforward thanks to synchronous cross-zone message replication and per-message receipt tracking, which ensures reliable delivery at any scale. Users can dive right into production without extensive planning due to its auto-everything capabilities from the very beginning. Beyond these fundamental features, it also offers advanced functionalities such as filtering, dead-letter delivery, and exponential backoff, which enhance scalability and streamline the development process. This service proves to be a quick and reliable avenue for processing small records across diverse volumes, acting as a conduit for both real-time and batch data pipelines that connect with BigQuery, data lakes, and operational databases. Furthermore, it can seamlessly integrate with ETL/ELT pipelines in Dataflow, further enriching the data processing landscape. By harnessing these capabilities, enterprises can allocate their resources towards innovation rather than managing infrastructure, ultimately driving growth and efficiency in their operations.
What is Azure Data Explorer?
Azure Data Explorer offers a swift and comprehensive data analytics solution designed for real-time analysis of vast data streams originating from various sources such as websites, applications, and IoT devices. You can pose questions and conduct iterative data analyses on the fly, enhancing products and customer experiences, overseeing device performance, optimizing operations, and ultimately boosting profitability. This platform enables you to swiftly detect patterns, anomalies, and trends within your data. Discovering answers to your inquiries becomes a seamless process as you delve into new subjects. With a cost-effective structure, you can execute an unlimited number of queries without hesitation. Efficiently uncover new opportunities within your data, all while utilizing a fully managed and user-friendly analytics service that allows you to concentrate on deriving insights rather than managing infrastructure. The ability to quickly adapt to dynamic and rapidly changing data environments is a key feature of Azure Data Explorer, making it a vital tool for simplifying analytics across all forms of streaming data. This capability not only enhances decision-making but also empowers organizations to stay ahead in an increasingly data-driven landscape.
Integrations Supported
Abstract Security
Activepieces
Azure Monitor
Camunda
Confluent
Datadog
GlassFlow
Google Cloud Run
Google Cloud Source Repositories
Infometry Google Connectors
Integrations Supported
Abstract Security
Activepieces
Azure Monitor
Camunda
Confluent
Datadog
GlassFlow
Google Cloud Run
Google Cloud Source Repositories
Infometry Google Connectors
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.11 per hour
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Company Location
United States
Company Website
cloud.google.com/pubsub
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/products/data-explorer/
Categories and Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
