Mach5 Search is a cloud-native, managed search and analytics platform designed to handle the scale, complexity, and speed that security and observability teams demand. Unlike legacy search stacks that rely on fragile, fixed-size clusters and expensive storage, Mach5 takes a fundamentally different approach, running high-performance queries directly on Amazon S3 and other object stores. The result is a modern search & analytics architecture that delivers real-time performance at petabyte scale, while significantly reducing operating costs and developer burden.
Mach5 ingests data from sources like Kafka, Apache Iceberg, and hundreds of other sources through log stash, beats, fluentd, etc., making it instantly searchable. Whether you are investigating logs, monitoring cloud activity, or powering security analytics at scale, Mach5 gives your team the flexibility to query data in the language they already know: Elastic DSL, OpenSearch API, or the Mach5 Language (inspired by the Kusto Query Language) a simple, pipe-based syntax built for expressiveness and speed. There is no need to migrate to a new ecosystem or rewrite what already works.
Mach5's engine is designed to keep ingestion and querying isolated through independent compute warehouses that scale elastically as workloads grow. This ensures consistent, sub-second latency even under heavy load without manual intervention. And because everything runs on object stores within your environment, you retain full control of your data and avoid the hidden cost of vendor lock-in.
Delivered across all AWS regions, Mach5 supports flexible deployment models tailored to your workload. Get started in minutes and move into production with usage-based pricing that scales with your needs.
Organizations use Mach5 to power real-time log analysis, modern observability pipelines, scalable security data lakes, and next-generation SIEM workflows all while cutting infrastructure costs and simplifying operations.
Highlights
Search built on Object Storage: Execute sub-second queries directly on Amazon S3. No indexing into local clusters, no scaling bottlenecks, and cost-efficient search at cloud scale.
Optimized for Security and Observability: Ingest from Kafka, Iceberg, and others into a platform built for real-time security analytics, log processing, and long-term retention without the overhead of managing infrastructure.
Auto-Scaling Ingestion, Built for Reliability: You dont have to worry about duplicates, missed data, or flaky ingestion when streaming from S3, Kafka or any other integration. Mach5 ingestion pipelines provide exactly-once delivery and auto-scale to handle spikes in volume without any need for manual tuning.
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.
Mach5 Search uses a single usage-based pricing dimension. You pay by vCPU Seconds, which count the processing time of all nodes running Mach5 pods. There are no tiers or fixed instance sizes to select. Your cost scales directly with how much compute your Mach5 workloads consume. When your search, analytics, and streaming workloads run more or use more nodes, you accrue more vCPU Seconds. When they run less, you accrue fewer. This ties spending to actual product activity rather than a set commitment.
Top-of-mind questions for buyers
What counts as a vCPU Second for billing?
A vCPU Second measures one second of processing time on one virtual CPU core. The meter counts these seconds across all nodes running Mach5 pods. If several nodes run at once, their vCPU Seconds add together. More cores and longer run times both raise the total counted.
Am I charged when my Mach5 pods are stopped or idle?
Billing counts vCPU Seconds only while nodes run Mach5 pods. When pods stop, they accrue no vCPU Seconds and add nothing to your usage. Since Mach5 runs in your own environment, underlying infrastructure costs are separate and follow your own compute arrangements.
Does adding more workloads like streaming or analytics change how I am billed?
No. All workload types bill through the same single meter. Search, analytics, streaming, transformations, and reprocessing all consume compute on Mach5 pods. That compute is counted as vCPU Seconds regardless of the workload. Running more or heavier workloads raises the seconds you accrue.
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