4 Open Source Alternatives To Elasticsearch

Manticore Search is an easy-to-use, open-source, fast database designed for search. It serves as a superior alternative to Elasticsearch, offering remarkable speed and performance for handling large datasets and various search use cases. Manticore Search supports a wide range of programming languages and integrates seamlessly into existing workflows, making it a versatile tool for developers and businesses alike.

• Performance: Manticore Search is optimized for low response times and high throughput, making it ideal for analyzing large datasets. It is up to 4x faster for big data and 29x faster for log analytics compared to Elasticsearch.
• Cost-Effective: Designed to be efficient even on minimal resource setups like small VMs or containers, Manticore Search delivers impressive speed and performance without requiring significant hardware investments.
• Vector Search: Supports powerful Semantic and Vector Search capabilities, enhancing the search experience with advanced features.
• Elasticsearch Alternative: Provides a superior alternative to Elasticsearch, demonstrating up to 29x better performance in specific benchmarks.
• True Open Source: Manticore Search and its related products are free to use and published under OSI-approved open-source licenses.
• Ease of Use: Supports popular programming languages and allows for setup and search execution in just a few lines of code.

Manticore Search excels in efficiency, flexibility, and performance, making it an invaluable tool for projects of all sizes. Its robust design and thoughtful engineering ensure high performance even on modest hardware, while its open-source nature fosters a collaborative and supportive community.

Quickwit is a cloud-native, open-source search engine designed for sub-second search and analytics on cloud storage. It offers a robust alternative to traditional search technologies like Datadog, Elasticsearch, Loki, and Tempo, optimized for limitless data volumes with low query per second (QPS) requirements. Built on Rust and Tantivy, Quickwit ensures optimized CPU and processing power, executing queries directly on object storage for improved performance at a fraction of the usual cost.

• Sub-second Latency: Execute queries with sub-second response times, even on large datasets stored in cloud storage.
• Scalability: Designed for performance and scalability, Quickwit can handle vast volumes of data without compromising speed.
• Decoupled Storage & Compute: True separation of storage and compute resources ensures efficient data handling and cost savings.
• Cloud-native Deployment: Easily deploy Quickwit in various environments, including on-premise or Kubernetes, and integrate with object storage solutions like Amazon S3, MinIO, and Ceph.
• Optimized for Logs and Traces: Perfect for log management and distributed tracing, providing a comprehensive solution for observability.
• Rust-based Architecture: Leveraging Rust and Tantivy, Quickwit offers high performance, low server resource use, and easy maintenance.
• Enterprise-ready: Built with enterprise needs in mind, Quickwit ensures reliability, scalability, and ease of deployment.

Quickwit stands out with its unique architecture, making it an ideal choice for organizations looking to manage and search through extensive logs and traces efficiently. Its cloud-native design and compatibility with various object storage and distributed queue systems provide flexibility and cost-effectiveness, empowering DevOps and data engineers to achieve more with their data.

🦔 is a fast, lightweight, and schema-less search backend designed as an alternative to Elasticsearch. It operates efficiently on just a few megabytes of RAM, making it ideal for resource-constrained environments while still delivering powerful search capabilities. This backend solution is perfect for those looking for a streamlined, efficient, and easy-to-use search system without the overhead of more complex solutions. Here's what it offers:

• Fast Performance: Delivers quick search results with minimal latency.
• Lightweight: Operates efficiently on a few megabytes of RAM.
• Schema-less: No need to define a schema upfront, making it flexible and easy to use.
• Alternative to Elasticsearch: Provides similar functionalities without the resource-heavy requirements.

In conclusion, 🦔 is an excellent choice for those in need of a robust search backend that is both efficient and easy to deploy, especially in environments with limited resources.

Matano is an open-source security data lake designed for threat hunting, detection, and response at petabyte scale on AWS. It offers a comprehensive platform for cybersecurity analytics, modernizing your Security Operations Center (SOC) with cloud-native capabilities. Matano integrates seamlessly with your existing security and software products, providing a unified solution for managing and analyzing vast amounts of security data.

• Unified Security Data Lake: Ingest and store all your security data into a scalable data lake. Matano automatically ingests data from all of your security and software products with hundreds of prebuilt integrations and parsers.
• Detect & Respond Faster: Get started with Matano’s 800+ out-of-the-box correlation rules tuned to your environment to detect and remediate threats in real-time.
• Search Experience: Easily search data and build detection rules across your data lake using an intuitive search language compatible with Splunk SPL. Modernize your SOC without retraining your workforce.
• Scalable Storage: Your data is always stored in S3 for unlimited retention at petabyte scale. Leverage hundreds of pre-built connectors to ETL data from common security sources like Cloud, SaaS, Host, Network, and Identity logs.
• Contextualized Alerts: Matano automatically pulls threat intelligence and asset context into a security graph and combines it with the data lake to deliver high fidelity alerts and help you focus on the threats that matter.

Matano revolutionizes the way organizations handle cybersecurity by providing a scalable, cost-effective, and comprehensive security data lake solution. By leveraging cloud-native technologies and integrating with existing security tools, Matano ensures that your security operations are efficient, effective, and future-proof.