Who AI recommends, and when it changes.
Data as of Apr 11, 2026 · Based on 17 AI answers · A buyer need in MLOps and Inference Serving Platforms. · See how Parse measures this
Recommendation share
Alphabet leads at 35% of AI recommendations; Amazon follows at 18%.
By platform
Both platforms lead with Alphabet.
Representative prompts behind this market ranking, and how AI tends to answer.
Buyer needs that sit next to this one in the same market.
AI assistants consistently steer buyers toward Google Cloud Gemini Enterprise Agent Platform for scheduled batch inference processing, citing its serverless batch prediction jobs and deep integration with the Google Cloud ecosystem. 
Where a different pick wins:
Databricks runs batch inference directly on data in Delta Lake, avoiding data movement for data-heavy workflows. · 2 sources
BentoMLBentoML allows custom runtime environments and scaling with Kubernetes CronJobs. · 2 sources
Baseten/Modal offers low-friction, fast GPU inference tailored for modern ML teams. · 1 source
Bedrock provides a 50% discount on high-volume async batch processing, ideal for cost-sensitive workloads. · 2 sources
“I want to run inference jobs on a schedule. What is the best platform for batch inference processing?”
AI assistants recommend a mix of fully managed cloud services like Google Vertex AI and
Databricks
