| Product | Mindshare (%) |
|---|---|
| DataBahn | 8.9% |
| Apica | 4.6% |
| Other | 86.5% |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 2 |
| Large Enterprise | 17 |
Apica leads in observability cost optimization, empowering IT teams to control telemetry data economics. Apica Ascent spans metrics, logs, traces, and events, reducing observability costs by 40% compared to traditional solutions.
Apica provides unrivaled flexibility, supporting any data lake with both on-premises and cloud deployment options, eliminating costly tool sprawl through modular solutions. Ascent efficiently handles high-cardinality data and boasts patented InstaStore optimized storage technology and advanced root cause analysis capabilities. Many organizations choose Apica to drive down observability expenses.
What are Apica's key features?Apica is employed across industries for monitoring and synthetic user emulation, providing external visibility into user experiences with applications. It supports infrastructure checks, proactive error detection, synthetic logins, load testing, and performance monitoring. Organizations leverage its capabilities for error checks, geo-protection, and content validation, ensuring IT service and web operation availability and performance globally.
DataBahn is an Agentic Data Control Plane for Security, Observability, and AI.
DataBahn autonomously controls telemetry in motion, reducing, enriching, and governing it so every tool, analyst, and AI agent that depends on it works with trusted, contextualized data.
Enterprises are dealing with growing volumes of telemetry, while SIEM, observability, analytics, and AI platforms all depend on that data to operate effectively. DataBahn sits upstream of these systems and takes control of the data itself, enabling it to be collected once, searchable everywhere, and trusted by both analysts and AI systems.
Your telemetry: Control, search, and act
DataBahn manages the telemetry journey from source to outcome, transforming raw, distributed data into trusted, actionable intelligence for security and observability teams, applications, and AI agents.
Control the flow with Data Pipeline
Automate telemetry from collection to delivery. Prepare, enrich, govern, and route the right data to each destination while reducing cost and manual pipeline work.
Find and gather context with Federated Search & Orchestration
Search data across connected stores without centralizing it. Use natural language and AI-assisted investigation to connect evidence across systems and get contextualized answers faster.
Understand and act with Autonomous In-Stream Data Intelligence (AIDI)
Use purpose-built AI agents to continuously monitor data quality, detect gaps and drift, validate policy, and act on telemetry in motion.
Data and AI are now the same problem
Security tools and analytics are no longer the only systems that depend on telemetry. AI agents and applications also need trusted, contextual data in real time, starting from the moment it is collected. At the same time, the cost of moving and storing that data has grown beyond what traditional SIEM-era architectures were designed to handle.
DataBahn addresses this by controlling and preparing the data before it reaches downstream tools, applications, or AI systems.
Proven at scale
DataBahn runs enterprise data operations for Fortune 100 companies across healthcare, financial services, manufacturing, and transportation. The platform supports any source, any destination, and any model, with no lock-in, providing a neutral control layer from data in motion to intelligence in action. DataBahn also reports zero customer churn and a 97% proof-of-concept win rate.
Backed for what comes next
DataBahn has raised $59 million in total funding, including a $40 million Series B led by Insight Partners, with participation from Forgepoint, GTM Capital, and S3 Ventures. The funding supports continued R&D and product development for the Agentic Data Control Plane across security, observability, and AI.
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