Introduction
QuickWit, brought to you by NewCompute, Inc., is a messaging co-pilot that enhances communication and productivity. It is a cloud-native search engine that executes complex search and analytics queries directly on cloud storage with sub-second latency. Built on Rust, QuickWit features a decoupled compute and storage architecture, making it resource-efficient and easy to operate, capable of scaling to petabytes of data. The tool is ideal for log management, distributed tracing, and handling immutable data such as emails, texts, and event-based analytics. With its user-friendly design and powerful features, QuickWit offers a seamless experience for users looking to manage and analyze large volumes of data.
background
NewCompute, Inc. developed QuickWit to address the need for a fast, scalable, and cost-effective search engine. The company focuses on innovation in cloud-native technologies and aims to provide solutions that enhance productivity and streamline data management processes. QuickWit has been well-received in the market for its ability to handle large datasets with ease and its commitment to open-source principles.
Features of QuickWit
Full-text Search
QuickWit provides comprehensive full-text search capabilities, allowing users to quickly locate specific information within large datasets.
Aggregation Queries
The engine supports aggregation queries, enabling users to analyze data trends and extract meaningful insights.
Elasticsearch-Compatible API
With an API compatible with Elasticsearch, QuickWit can be easily integrated with existing systems and clients.
Schemaless Indexing
QuickWit's schemaless indexing allows for flexible data handling, accommodating a wide range of document structures.
Cloud Storage Search
Designed to perform sub-second searches on cloud storage solutions like Amazon S3, Azure Blob Storage, and Google Cloud Storage.
Decoupled Compute and Storage
This architecture ensures efficient resource utilization and independent scaling of indexing and search capabilities.
Grafana Integration
QuickWit can be used as a data source within Grafana, providing a comprehensive analytics platform.
Kubernetes Support
With a helm-chart available, QuickWit is ready for deployment on Kubernetes, simplifying orchestration and management.
RESTful API
A RESTful API is provided for developers to interact with QuickWit programmatically.
How to use QuickWit?
To get started with QuickWit, users can follow the quickstart guide which includes setting up the environment, indexing data, and executing search queries. Detailed documentation is available for each step, ensuring a smooth learning curve.
FAQ about QuickWit
- How do I install QuickWit?
- QuickWit can be installed using the provided helm-chart for Kubernetes, or by following the setup instructions in the documentation.
- What data sources does QuickWit support?
- QuickWit supports multiple data sources including Kafka, Kinesis, and Pulsar, and is compatible with various cloud storage solutions.
- How can I migrate from Elasticsearch to QuickWit?
- QuickWit supports a large subset of Elasticsearch/OpenSearch API, making migration straightforward. The documentation provides a migration guide.
- Is there a community for QuickWit users?
- Yes, QuickWit has an active community on Discord, Twitter, and through their YouTube channel, where users can engage and seek support.
- How do I perform aggregation queries in QuickWit?
- Aggregation queries can be executed using the provided Elasticsearch-compatible query DSL.
Usage Scenarios of QuickWit
Log Management
QuickWit is ideal for managing and analyzing log data, providing real-time search and analytics capabilities.
Distributed Tracing
It supports distributed tracing, allowing users to trace transactions across microservices and understand system behavior.
Event-Based Analytics
QuickWit can process and analyze event-based data, making it suitable for applications like monitoring system health or user behavior analysis.
Security and Audit Logs
The tool can be used to manage security and audit logs, ensuring compliance with regulatory requirements.
User Feedback
QuickWit is praised for its user-friendly interface and straightforward setup process.
Users have reported significant improvements in search performance compared to traditional search engines.
Feedback highlights QuickWit's ability to handle large datasets with ease and scale resources as needed.
Customers appreciate the compatibility with existing tools and the ease of integration with Grafana and Kubernetes.
The community and support from NewCompute, Inc. have been commended for their responsiveness and helpfulness.
others
QuickWit stands out in the market for its innovative approach to cloud-native search, providing a cost-effective solution for organizations dealing with large volumes of data. Its decoupled architecture allows for independent scaling of indexing and search capabilities, which is a game-changer in the industry.
Useful Links
Below are the product-related links of QuickWit, I hope they are helpful to you.