Sold by: Axiom
Deployed on AWS
Axiom is a unified observability and security platform for all types of timeseries data. Stop sampling, observe every event.
3.7
Overview
Axiom is a SaaS-based unified observability, security and log analytics service that offers comprehensive insights into the health and performance of every part of your environment instantly. Axiom enables petabyte-scale operations at terabyte prices. It unlocks a new dimension in efficiency that allows ingest, storage and query of event data without compromises.
Highlights
- Modern, collaborative experience that makes event data actionable for all functions.
- Powerful pipelined query language to answer the most complex data questions.
- Seamless integration with popular tools like Slack, Discord, and PagerDuty.
Details
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
usage | Total usage for the billable | $0.00 |
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
We offer support over email and discord. See more here:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Query Language
Pipelined query language for complex data analysis and event data interrogation
Data Ingestion and Storage
Petabyte-scale operations with terabyte-level pricing for event data ingest and storage
Observability and Security
Unified observability, security, and log analytics service for comprehensive environment monitoring
Third-party Integration
Seamless integration with tools including Slack, Discord, and PagerDuty
Event Data Processing
Full-fidelity event data processing without sampling across all timeseries data types
In-Stream Data Processing Architecture
Leverages in-stream analytics to investigate data and provide actionable insights without relying on storage or indexing, combining stateless speed and scale with stateful correlation capabilities.
Machine Learning-Based Anomaly Detection
Continuous machine learning algorithms monitor data patterns and flows between system components to trigger dynamic alerts based on pattern deviations from the norm without requiring static thresholds or pre-configurations.
Multi-Source Data Ingestion
Ingests logs, metrics, tracing, and security data from any source in any format for aggregated system health visibility with automatic pattern recognition across millions of events.
Auto-Scaling Infrastructure
Advanced auto-scaling techniques enable seamless scaling up and down to meet environment demands at any scale, currently processing 3 million or more events per second.
Multi-Interface Data Access
Supports multiple query and visualization interfaces including purpose-built UI, SQL clients, Tableau integration, CLI, and full API support for flexible data exploration and insights delivery.
Unified Observability Platform
Comprehensive visibility across applications, infrastructure, logs, databases, networks, and digital experiences through a single-pane-of-glass interface
AIOps and Machine Learning
AIOps enhanced with machine learning capabilities to simplify management of distributed environments and automatically prioritize alerts to reduce alert fatigue
Automated Instrumentation and Dependency Mapping
Automated instrumentation with dependency mapping and service relationship views to identify multi-level relationships across services
Open Source and Container Support
Support for open-source frameworks, container technologies, and third-party integrations for cloud-native environments
Rapid Deployment and Integration
Quick installation with automated setup and easy integration with SolarWinds Hybrid Cloud Observability for reduced time to value
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
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No security profile
Standard contract
No
No
Customer reviews
reviewer2783832
Logging has reduced costs and now provides fast queries and dashboards for lambda troubleshooting
Reviewed on Dec 02, 2025
Review from a verified AWS customer
What is our primary use case?
Axiom Team is primarily used for logging Lambda functions and searching through those logs. When issues arise, the function logs are examined to determine what went wrong, and Axiom Team effectively replaced CloudWatch for this purpose.
What is most valuable?
Axiom Team excels at querying, with a query language that makes it very easy to assemble queries. The platform also makes it simple to create dashboards from logs. Axiom Team dashboards are used to monitor execution time, pricing, and errors. Axiom Team has positively impacted the organization by greatly reducing logging costs.
What needs improvement?
Axiom Team can be improved by ingesting logs faster, if possible.
For how long have I used the solution?
Axiom Team has been in use for one year.
What do I think about the stability of the solution?
Axiom Team is stable.
What do I think about the scalability of the solution?
Axiom Team's scalability is good, as there have been no problems with scalability.
How are customer service and support?
Axiom Team's customer support is good.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
AWS CloudWatch was previously used, but the switch to Axiom Team was made because it is cheaper.
How was the initial setup?
Axiom Team was purchased through the AWS Marketplace .
What about the implementation team?
The company does not have a business relationship with this vendor other than being a customer.
What was our ROI?
Money has been saved, but an exact number is not available due to lack of access to billing information.
What's my experience with pricing, setup cost, and licensing?
Pricing, setup cost, and licensing experience are not available due to lack of access to billing information.
Which other solutions did I evaluate?
Other options were not evaluated before choosing Axiom Team.
What other advice do I have?
The advice to others looking into using Axiom Team is to make it easier to query logs. The overall review rating for Axiom Team is 8 out of 10.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2783829
Logging costs have been cut in half and AI-driven queries simplify serverless monitoring
Reviewed on Dec 02, 2025
Review from a verified AWS customer
What is our primary use case?
My main use case for Axiom Team is for logging and observability. We use Lambda for all of our compute, and all of our Lambda logs go to Axiom Team .
What is most valuable?
Axiom Team offers excellent features, particularly the AI agent for writing queries, which makes the process significantly easier. The AI agent has changed my workflow by eliminating the need to consult documentation for query writing; I now use the AI agent instead. Axiom Team has positively impacted my organization mainly in terms of cost, as we have reduced our logging cost by approximately half. The cost savings were achieved by moving from Amazon CloudWatch logs to Axiom Team logs.
What needs improvement?
I don't have anything to suggest regarding how Axiom Team could be improved.
For how long have I used the solution?
I have been using Axiom Team for one year.
What other advice do I have?
My advice for others looking into using Axiom Team is to examine the cost of your current logging solution and determine whether you can achieve cost savings. I would rate this product 9 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Civil Engineering
Integrated Excel Files displayed as Linework
Reviewed on Oct 27, 2022
Review provided by G2
What do you like best about the product?
turns excel data into linework and links through PW url
What do you dislike about the product?
price of service is not worth the results but it has been required by certain projects
What problems is the product solving and how is that benefiting you?
integration with live schedules