Axiom provides a cloud-native log management platform that enables high-scale engineering teams to collect, store, and analyze event data in real-time without limits. By offering a cost-effective solution with up to 92.5% savings on logging expenses, Axiom empowers organizations to maximize the value of their log data while simplifying data management and governance.
Funding
$25.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+2Founders
Product
Problem
High-scale engineering teams face challenges in collecting, storing, and analyzing event data in real-time due to the limitations and high costs associated with traditional log management platforms. These limitations often lead to data sampling, restricted data retention, and delayed insights, hindering effective troubleshooting and data-driven decision-making.
Solution
Axiom provides a cloud-native log management and observability platform designed for high-scale engineering teams. The platform enables users to collect, store, and analyze all event data without limits, offering significant cost savings compared to traditional solutions. Axiom's architecture combines resilient, schema-less ingestion, ultra-efficient object storage, and on-demand query compute, delivering unmatched performance and cost-efficiency. By unifying data tools and streamlining access control, Axiom simplifies data management and governance, allowing organizations to unlock predictive insights and prepare for AI-driven innovation.
Target Audience
Axiom is designed for high-scale engineering teams, including DevOps engineers, SREs, and security professionals, who need to collect, store, and analyze large volumes of event data for observability, security, and analytics purposes.
Features
- Limitless event data collection, storage, and analysis without sampling
- Consumption-based pricing model with automatic volume discounts and a free tier
- Real-time analysis and flexible querying using a powerful piped processing language (APL)
- Support for distributed tracing, volumetric logging, and application performance monitoring
- Prebuilt integrations for AWS Lambda, Cloudflare, Serverless, Netlify, and Vercel
- OpenTelemetry support via OTLP for standardized data collection
- Comprehensive query language with virtual fields for query-time transformation
- Dashboards, monitors, and apps for visualizing and alerting on key metrics
- Flexible deployment options, including fully managed cloud service and Bring Your Own Cloud (BYOC)