Suggestions appear as you type. Use the up and down arrows to choose one and Enter to open it.

This page's audience our own tag's counts — open to see them
–Visits
–Page views
–Clicks to vendors
–Time on page
–Reading now
Clicks to vendors, by tool
  • –
Top countries
  • –
Devices
  • –

– · visits, page views and clicks counted by our own tag, which counts more than our checked analytics; every figure rounded down · how we count

Head-to-head · Stream Processing Software

Azure Stream Analytics vs Google Cloud Dataflow

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Azure Stream Analytics #3 in Stream Processing Software 9.1/10 Paid ✓ 3 of 3 features Visit site
Google Cloud Dataflow #4 in Stream Processing Software 9.0/10 Paid ✓ 0 of 3 features Visit Google Cloud

Azure Stream Analytics leads on 0 checks, Google Cloud Dataflow on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreAzure Stream Analytics · 9.1/10
  • Most featuresAzure Stream Analytics · 3 of 3

Azure Stream Analytics scores higher on our rubric for stream processing software: 9.1 against 9.0 out of 10; our editors rank them #3 and #4.

Azure Stream Analytics is the better fit for azure users preferring managed SQL streaming. Google Cloud Dataflow is the better fit for google Cloud teams running managed pipelines.

  • Azure Stream Analytics fits best

    Azure users preferring managed SQL streaming

  • Google Cloud Dataflow fits best

    Google Cloud teams running managed pipelines

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Azure Stream Analytics 9.1/10 Visit ↗ Google Cloud Dataflow 9.0/10 Visit ↗
At a glance
Editor score 9.1 9.0
Ranking #3 in Stream Processing Software #4 in Stream Processing Software
Best for Azure users preferring managed SQL streaming Google Cloud teams running managed pipelines
Pricing model Paid Paid
Starting price — Not checked yet
Free plan — —
Free trial — —
Deployment Cloud, Self-hosted Cloud
Platforms Web Web
Support Docs Docs, Community, Live chat, Phone, Tickets
Integrations 6 integrations 14 integrations
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Azure Stream Analytics 3/3 · Google Cloud Dataflow 0/3
SQL processing ✓ (best) Not checked yet
Stateful processing ✓ (best) Not checked yet
Event-time windows ✓ (best) Not checked yet
Specs
Deployment model Hybrid Not checked yet
Supported languages SQL, JavaScript, C# Not checked yet
Source connectors 5 Not checked yet
Our review
Pros
  • SQL windows, event-time handling, stateful aggregates, and temporal joins
  • Native adapters for Event Hubs, IoT Hub, Storage, Kafka, and Azure SQL
  • Runs in Azure or on Azure IoT Edge devices
  • Runs both batch and streaming pipelines with autoscaling
  • Supports managed Beam connectors, CDC templates, SQL, and Python
  • Connects with Google Cloud, databases, Kafka, and analytics tools
Cons
  • No product-level free plan
  • Dedicated tiers require at least 12 or 36 streaming units
  • Best fit depends on Azure services and ecosystem alignment
  • Usage-based pricing does not provide fixed subscription tiers
  • No free plan is listed
  • Cloud deployment may not suit teams seeking self-hosted processing
Our verdict

Azure Stream Analytics is a managed service for processing streaming event data in real time. It is designed for teams that want SQL-based transformations, aggregations, joins, and analysis without managing a stream-processing cluster.…

Read the review →

Google Cloud Dataflow is a managed service for running Apache Beam pipelines across batch and streaming workloads. It is aimed at engineering and data teams building scalable processing and integration workflows, with support for Java,…

Read the review →
  1. Azure Stream AnalyticsStream Processing Software 9.1Paid
  2. Google Cloud DataflowStream Processing Software 9.0Paid

Strengths and trade-offs

  • Azure Stream Analytics — where it wins

    • SQL windows, event-time handling, stateful aggregates, and temporal joins
    • Native adapters for Event Hubs, IoT Hub, Storage, Kafka, and Azure SQL
    • Runs in Azure or on Azure IoT Edge devices

    Where it doesn't

    • No product-level free plan
    • Dedicated tiers require at least 12 or 36 streaming units
    • Best fit depends on Azure services and ecosystem alignment

  • Google Cloud Dataflow — where it wins

    • Runs both batch and streaming pipelines with autoscaling
    • Supports managed Beam connectors, CDC templates, SQL, and Python
    • Connects with Google Cloud, databases, Kafka, and analytics tools

    Where it doesn't

    • Usage-based pricing does not provide fixed subscription tiers
    • No free plan is listed
    • Cloud deployment may not suit teams seeking self-hosted processing

More comparisons

All stream processing software comparisons → · Full ranking →

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update