StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. AWS CloudTrail vs Azure Search

AWS CloudTrail vs Azure Search

OverviewComparisonAlternatives

Overview

AWS CloudTrail
AWS CloudTrail
Stacks304
Followers280
Votes14
Azure Search
Azure Search
Stacks84
Followers224
Votes16

AWS CloudTrail vs Azure Search: What are the differences?

Introduction

In this article, we will compare AWS CloudTrail and Azure Search, two popular cloud services used for different purposes within the AWS and Azure ecosystems. We will highlight the key differences between these services to help you understand their unique capabilities and make an informed decision about which one to choose for your specific requirements.

  1. Data Capture and Audit Trails: AWS CloudTrail enables you to continuously monitor and record all API calls made within your AWS account. It captures detailed information about the identity of the caller, service requested, timestamps, and other relevant metadata. On the other hand, Azure Search focuses on providing advanced search capabilities for your data, allowing you to query and retrieve information from various data sources like databases, file systems, and more. While CloudTrail primarily focuses on logging and auditing API calls, Azure Search is designed to efficiently index and search data.

  2. Pricing and Billing Model: AWS CloudTrail follows a pay-as-you-go pricing model, where you pay for the number of events recorded and stored in the service. The pricing is based on the number of events ingested, archived, and requested for analysis. In contrast, Azure Search has a more complex pricing model that takes into account factors such as the number of indexes created, the complexity of search queries, and data storage requirements. You need to carefully evaluate your expected usage patterns to determine the most cost-effective option for your organization.

  3. Integration with Other Services: AWS CloudTrail seamlessly integrates with various AWS services, providing comprehensive visibility and audit trails for your entire AWS infrastructure. It can also be configured to trigger CloudWatch Events, enabling you to automate actions based on specific events captured by CloudTrail. On the other hand, Azure Search can be integrated with other Azure services like Azure Blob Storage, Cosmos DB, SQL Database, and more. This integration allows you to easily index and search data from these services using Azure Search's powerful search capabilities.

  4. Search Functionality: While AWS CloudTrail does not provide native search functionality, you can utilize AWS CloudTrail Log Insights, a purpose-built interactive analytics solution, to search and analyze your CloudTrail data using SQL-like queries. Azure Search, on the other hand, offers advanced search features like full-text search, fuzzy search, faceted navigation, and geospatial search out-of-the-box. It provides developers with a robust search engine to build rich search experiences for their applications.

  5. Data Source Support: AWS CloudTrail focuses solely on capturing and logging API calls within the AWS ecosystem. It provides comprehensive coverage for all AWS services and regions. On the contrary, Azure Search supports indexing and searching data from a broader range of sources, including databases, file systems, and even Azure Blob Storage. It offers connectors and indexers to retrieve data from these sources and keep the search index up to date automatically.

  6. Scale and Performance: AWS CloudTrail can handle a large volume of API events, allowing you to capture and log activities across multiple AWS accounts and regions. It provides high durability and availability for your log data by replicating it across multiple AWS Availability Zones. Azure Search is designed to scale horizontally to handle large data sets and search loads. It allows you to partition your search index across multiple replicas to achieve high throughput and low latency search operations.

In summary, AWS CloudTrail is primarily focused on capturing and auditing API calls within the AWS ecosystem, while Azure Search provides powerful search capabilities for data residing in various sources. CloudTrail excels in providing detailed audit trails and integration with AWS services, while Azure Search offers advanced search features and broader support for data sources. Choose CloudTrail if your primary objective is to monitor and log API activities within AWS, and choose Azure Search if you need advanced search functionality across different data sources.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

AWS CloudTrail
AWS CloudTrail
Azure Search
Azure Search

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.

Increased Visibility- CloudTrail provides increased visibility into your user activity by recording AWS API calls. You can answer questions such as, what actions did a given user take over a given time period? For a given resource, which user has taken actions on it over a given time period? What is the source IP address of a given activity? Which activities failed due to inadequate permissions?;Durable and Inexpensive Log File Storage- CloudTrail uses Amazon S3 for log file storage and delivery, so log files are stored durably and inexpensively. You can use Amazon S3 lifecycle configuration rules to further reduce storage costs. For example, you can define rules to automatically delete old log files or archive them to Amazon Glacier for additional savings.;Easy Administration- CloudTrail is a fully managed service; you simply turn on CloudTrail for your account using the AWS Management Console, the Command Line Interface, or the CloudTrail SDK and start receiving CloudTrail log files in the Amazon Simple Storage Service (Amazon S3) bucket that you specify.;Reliable- CloudTrail continuously transports events from AWS services using a highly available and fault tolerant processing pipeline.;Timely Delivery- CloudTrail typically delivers events within 15 minutes of the API call.;Log File Aggregation- CloudTrail can be configured to aggregate log files across multiple accounts and regions so that log files are delivered to a single bucket. Please refer to the of the AWS CloudTrail User Guide for detailed instructions.;Notifications for Log File Delivery- CloudTrail can be configured to publish a notification for each log file delivered, thus enabling you to automatically take action upon log file delivery. CloudTrail uses the Amazon Simple Notification Service (SNS) for notifications.;Choice of Partner Solutions- Multiple partners including AlertLogic, Boundary, Loggly, Splunk and Sumologic offer integrated solutions to analyze CloudTrail log files. These solutions include features like change tracking, troubleshooting, and security analysis.
Powerful, reliable performance;Easily tune search indices to meet business goals;Scale out simply;Enable sophisticated search functionality;Get up and running quickly;Simplify search index management
Statistics
Stacks
304
Stacks
84
Followers
280
Followers
224
Votes
14
Votes
16
Pros & Cons
Pros
  • 7
    Very easy setup
  • 3
    Good integrations with 3rd party tools
  • 2
    Very powerful
  • 2
    Backup to S3
Pros
  • 4
    Easy to set up
  • 3
    Managed
  • 3
    Auto-Scaling
  • 2
    Lucene based search criteria
  • 2
    Easy Setup
Integrations
Boundary
Boundary
Loggly
Loggly
Splunk Cloud
Splunk Cloud
Microsoft Azure
Microsoft Azure

What are some alternatives to AWS CloudTrail, Azure Search?

Elasticsearch

Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

Algolia

Algolia

Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

Graylog

Graylog

Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

Fluentd

Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

Postman
Swagger UI

Postman vs Swagger UI

gulp
Grunt

Grunt vs Webpack vs gulp