Best Database Offering for Self-Driving Car Analysis
Question
You are managing a project for a start-up that is working on developing a product to be used for self-driving cars. The edge devices will collect the data on the cars, and analysis on the ingested real-time data needs to be performed at high speed.
The performed analysis will track driver behavior. Which of the below database offering from Google Cloud would you prefer to use in this solution?
Answers
Explanations
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: A.
Option A is Correct.
As this scenario requires us to use a database that can handle high workloads and perform analytics at a fast pace, Cloud Bigtable would be an appropriate choice.
Option B is Incorrect.
Firestore is a serverless document database, and hence it will not serve the purpose as required in this scenario.
Option C is Incorrect.
Distributed SQL database, cloud spanner will not be a correct choice for this solution, as the scenario requires performing high-speed analytics.
Option D is Incorrect.
Datastream is not the right choice for this solution because data stream helps in performing replication and synchronization of data across various systems, including databases, storage systems, etc.
https://cloud.google.com/bigtable https://cloud.google.com/firestore https://cloud.google.com/spanner https://cloud.google.com/datastreamFor a project that requires ingesting and analyzing real-time data at high speed, as in the case of self-driving cars, Google Cloud offers several database solutions that can be used, including Cloud Bigtable, Firestore, Cloud Spanner, and Datastream.
Out of the given options, Cloud Bigtable is the most suitable choice for this solution. Cloud Bigtable is a NoSQL database that is designed to handle large amounts of data, including data that needs to be ingested and processed in real-time. It is ideal for handling time series data and is capable of processing millions of events per second with very low latency. This makes it an excellent choice for applications that require real-time data processing, such as self-driving cars.
Firestore is another NoSQL database that is designed for mobile and web applications, and while it can handle real-time data, it is better suited for applications that require real-time synchronization of data between clients and servers. It may not be the best choice for self-driving cars as it lacks the scalability and performance needed to handle large amounts of data at high speeds.
Cloud Spanner, on the other hand, is a globally distributed relational database that is designed for scalability and consistency. While it can handle real-time data, it is better suited for applications that require strong consistency across multiple regions and need to scale horizontally across multiple nodes. It may not be the best choice for self-driving cars as it may not provide the performance needed for real-time data processing.
Datastream, finally, is a managed service that is designed for data replication and streaming data from external sources into Google Cloud. While it can be used to stream data into other Google Cloud services such as Cloud Bigtable or Cloud Spanner, it is not a database itself and may not be the best choice for handling real-time data processing.
Therefore, for the project of developing a product for self-driving cars, Cloud Bigtable would be the most suitable choice for ingesting and analyzing real-time data at high speed, including driver behavior tracking.
