Compare the Top Telemetry Software that integrates with Elasticsearch as of July 2025

This a list of Telemetry software that integrates with Elasticsearch. Use the filters on the left to add additional filters for products that have integrations with Elasticsearch. View the products that work with Elasticsearch in the table below.

What is Telemetry Software for Elasticsearch?

Telemetry software is designed to collect, transmit, and analyze data from remote or distributed systems in real time. It allows organizations to monitor the performance, health, and behavior of various devices, machines, or applications from a central location. The software gathers data such as system metrics, error logs, or user interactions, and sends it to a centralized database or server for analysis. This data is then used to identify issues, optimize performance, or predict future problems. Telemetry software is widely used in industries like aerospace, automotive, telecommunications, and IT infrastructure for proactive maintenance and decision-making. Compare and read user reviews of the best Telemetry software for Elasticsearch currently available using the table below. This list is updated regularly.

  • 1
    Tenzir

    Tenzir

    Tenzir

    ​Tenzir is a data pipeline engine specifically designed for security teams, facilitating the collection, transformation, enrichment, and routing of security data throughout its lifecycle. It enables users to seamlessly gather data from various sources, parse unstructured data into structured formats, and transform it as needed. It optimizes data volume, reduces costs, and supports mapping to standardized schemas like OCSF, ASIM, and ECS. Tenzir ensures compliance through data anonymization features and enriches data by adding context from threats, assets, and vulnerabilities. It supports real-time detection and stores data efficiently in Parquet format within object storage systems. Users can rapidly search and materialize necessary data and reactivate at-rest data back into motion. Tension is built for flexibility, allowing deployment as code and integration into existing workflows, ultimately aiming to reduce SIEM costs and provide full control.
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  • 2
    Elastic Observability
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights. To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together the application, infrastructure, and user data into a unified solution for end-to-end observability and alerting. Combine limitless telemetry data collection and search-powered problem resolution in a unified solution for optimal operational and business results. Converge data silos by ingesting all your telemetry data (metrics, logs, and traces) from any source in an open, extensible, and scalable platform. Accelerate problem resolution with automatic anomaly detection powered by machine learning and rich data analytics.
    Starting Price: $16 per month
  • 3
    Zipkin

    Zipkin

    Zipkin

    It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations failed. The Zipkin UI also presents a dependency diagram showing how many traced requests went through each application. This can help identify aggregate behavior including error paths or calls to deprecated services.
  • 4
    PacketRanger
    PacketRanger is a web-based SaaS platform that effortlessly builds and manages telemetry pipelines across the entire IT landscape by inspecting, filtering, replicating, and routing data from any source to an unlimited number of destination consumers. It enables rapid construction of pipelines that eliminate noise, establishes volumetric baselines with customizable threshold notifications, and provides rich visualizations to pinpoint low- and high-value data as well as network issues and misconfigurations. Designed for NetFlow, it moderates congestion, optimizes flow-based licensing, reduces duplicate UDP datagrams, supports all NetFlow/IPFIX versions, offers over 400 predefined and custom filter templates, mitigates packet loss, and overcomes exporter limitations. For Syslog, it ensures balanced event distribution, simple keyword and regular-expression filtering, TCP/TLS support, automatic message parsing without manual grok patterns, and the ability to transform logs into SNMP traps.
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