Difference between Vertex AI and BigQuery

Definition

Vertex AI is a platform that provides tools and services for developing and deploying machine learning models.

BigQuery is a fully managed data warehouse and analytics platform for querying and analyzing large datasets.

Data Type

Both structured and unstructured data types can be processed in vertex AI such as text files, tables, and images.

Since BigQuery is majorly used in querying tasks, it operates on structured datasets like tables for performing SQL queries.

Skillset Required

Even if the developer is not skilled in ML coding, yet the model can be developed through AutoML functionality.

The usage of the BigQuery platform requires precise knowledge of SQL. Thus developers may not require advanced ML algorithms.

Core Functionality

A wide range of functionalities are provided from data preparation & transformation (AutoML) to estimation and analysis of the model after deployment.

BigQuery provides querying functionalities over larger datasets and advanced analytics operations including data visualization.

Languages

Vertex AI uses code models called codey APIs that support many languages like C, C++, Java, Python, Ruby, Swift, etc.

It uses a variant of SQL called BigQuery SQL for querying. It supports advanced analytics, data transformations, and data visualization.

Use Cases

Vertex AI has vast use cases in Machine Learning domains like Image Recognition, CNN, Natural Language Processing, etc.

BigQuery has vast uses in Business Intelligence, data mining, IoT analysis,marketing, and real time analysis.

Data Storage

Vertex AI has managed pipelines that help to automate and deploy ML workflow in a serverless manner and store artifacts using Vertex ML Metadata.

Data is stored in structural tables. The storage is managed in highly available compute clusters with distributed memory shuffles.

Cost

Model Code – $0.0005 per 1000 characters.
Model training – $3.465 per node hour.
Deployment – $2.002 per node hour.
Forecasting – $0.1 per 1K data points

Physical storage – $0.04 per GiB per month.
Querying (On demand)- $6.25 per TiB.
Pay as you go – $0.04 / slot hour.
Model Creation – $6.25 per TiB.