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What is Vector by Datadog?

Consolidate, modify, and oversee all your logs and metrics using a single, intuitive tool. Crafted in Rust, Vector is known for its remarkable speed and efficient memory use, designed to handle even the heaviest workloads seamlessly. Its purpose is to function as your comprehensive solution for transferring observability data between various points, with deployment options as a daemon, sidecar, or aggregator. By providing support for both logs and metrics, Vector streamlines the collection and processing of your observability data. It stands neutral to any specific vendor platforms, fostering an equitable and open ecosystem that emphasizes your priorities. With no risk of vendor lock-in and a focus on future-proofing, Vector offers highly customizable transformations that harness the full power of programmable runtimes. This flexibility allows you to address complex scenarios without limitations. Recognizing the significance of reliability, Vector clearly delineates the guarantees it provides, allowing you to make informed choices that fit your unique needs. Moreover, this transparency not only enhances data management but also instills confidence in your operational strategies. Ultimately, Vector empowers you to navigate the complexities of observability with ease and assurance.

What is Tencent Cloud Log Service?

CLS boasts an array of powerful features, including real-time log collection, structured logging, reliable storage, rapid search functions, multidimensional analysis, and automated log shipping. In addition, it provides a robust API and an intuitive console to facilitate effective log management. The platform is designed with a scalable, distributed architecture that offers remarkable flexibility, allowing it to manage vast amounts of logs simultaneously. Consequently, users can easily process hundreds of millions of log files each day without the usual resource allocation issues. Logs are captured in real time, enabling instant searching and analysis as they come into the CLS system. Its advanced query engine can navigate through hundreds of millions of files in less than a second, making it easy to analyze and process large quantities of log data. CLS accommodates different log aggregation techniques, such as the LogListener agent, API, and SDK, which enhance the collection and centralized management of logs. Additionally, the initial setup can be completed in as little as five minutes, making it an appealing choice for organizations in need of quick implementation. This efficiency makes CLS a valuable resource for businesses that demand effective log management and insightful analysis. Furthermore, its ongoing updates ensure that the platform remains at the forefront of technological advancements in log processing.

Media

Media

Integrations Supported

Amazon S3
Apache Kafka
Axonius
Elasticsearch
Prometheus
Uptrace

Integrations Supported

Amazon S3
Apache Kafka
Axonius
Elasticsearch
Prometheus
Uptrace

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Datadog

Date Founded

2010

Company Location

United States

Company Website

vector.dev/

Company Facts

Organization Name

Tencent

Date Founded

2013

Company Location

China

Company Website

intl.cloud.tencent.com/product/cls

Categories and Features

Log Management

Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs

Categories and Features

Log Management

Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs

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