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MS

Mach5 Software

Mach5 Search is a cloud-native platform that integrates with major object storage systems to provide unlimited data retention and fast query performance while maintaining full compatibility with Elasticsearch and OpenSearch APIs. It enables businesses to efficiently manage large datasets without incurring high costs, as it automatically scales resources and eliminates egress fees.

Los Altos, United StatesFounded 202110100+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to efficiently manage and analyze rapidly growing datasets due to the high costs and scalability limitations of traditional search platforms. Existing solutions often require significant infrastructure investments, leading to vendor lock-in and unpredictable expenses related to data egress.

Solution

Mach5 Search is a cloud-native platform that provides cost-effective, scalable search and analytics capabilities directly on object storage. By integrating with major object storage systems, Mach5 enables unlimited data retention and fast query performance while maintaining compatibility with Elasticsearch and OpenSearch APIs. The platform automatically scales compute resources based on ingestion and query load, eliminating the need for manual intervention and reducing total cost of ownership. Mach5's architecture avoids data egress fees and allows users to leverage existing applications and tooling, such as Kibana and OpenSearch Dashboards.

Target Audience

The primary target audience includes enterprises and organizations that need to efficiently manage and analyze large datasets stored in object storage, particularly those seeking to reduce costs associated with traditional search platforms.

Features

  • Full compatibility with Elasticsearch and OpenSearch APIs, enabling seamless integration with existing applications and tools
  • Support for a pipe-based query language similar to Kusto Query Language (KQL) and Splunk Query Language (SPL)
  • Cloud-native autoscaling to handle varying ingestion and query loads
  • Integration with major object storage implementations in public and private clouds
  • Advanced indexing structures for interactive dashboards and ad-hoc analyses, even at petabyte scale
  • Data tiering and workload scaling handled automatically
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