Side-by-side comparison of AI visibility scores, market position, and capabilities
Data platform for security and observability acquired by Cisco for $28B in March 2024. Used by 90 of Fortune 100; 7,500+ enterprise customers globally; flagship SIEM and Splunk SOAR power enterprise security operations centers.
Splunk is a data platform for security and observability founded in 2003 in San Francisco, built on the idea that machine-generated data — logs, events, metrics, traces — contains the intelligence organizations need to detect threats, investigate incidents, and ensure digital systems stay available. The company's core technology indexes and searches massive volumes of machine data in real time, enabling security and IT operations teams to answer complex questions across their entire data estate without predefined schemas.\n\nSplunk's flagship product is its SIEM (Security Information and Event Management) platform, used by 90 of the Fortune 100 to detect and respond to security threats. Its broader portfolio includes Splunk Observability Cloud for infrastructure monitoring, Splunk SOAR for security orchestration and automated response, and Splunk IT Service Intelligence for IT operations. The platform's schema-on-read approach and SPL query language give analysts flexibility to investigate novel threats and operational issues that structured databases cannot accommodate.\n\nSplunk was acquired by Cisco for $28B in March 2024, one of the largest cybersecurity acquisitions in history, and has been integrated into Cisco's AI-driven security portfolio. The combination of Cisco's network telemetry and global customer relationships with Splunk's data analytics depth creates a powerful full-stack security and observability offering. Under Cisco, Splunk is adding AI-native features — including AI Assistant for SPL and automated threat detection — to maintain its leadership position as the SIEM market evolves toward AI-augmented security operations.
Open-source observability leader with $6B valuation; Grafana dashboards plus Loki/Tempo/Mimir stack serving millions of installations as Datadog alternative with community-driven adoption.
Grafana Labs is the company behind Grafana — the world's most widely used open-source observability and data visualization platform — providing the Grafana Cloud managed service, Grafana Enterprise, and a suite of open-source tools including Loki (log aggregation), Tempo (distributed tracing), and Mimir (long-term Prometheus metrics storage). Founded in 2019 by Raj Dutt, Torkel Ödegaard, and Tom Wilkie (the creators of the original Grafana open-source project) in New York, Grafana Labs has raised over $600 million at a $6 billion valuation.\n\nGrafana's open-source project — downloadable and self-hostable for free — has driven extraordinary community adoption: millions of Grafana installations globally power engineering, IoT, and business dashboards at organizations from startups to large enterprises. Grafana's plugin ecosystem connects to 200+ data sources (Prometheus, InfluxDB, Elasticsearch, AWS CloudWatch, databases), making it the universal observability visualization layer. Grafana Cloud packages the open-source tools into a fully managed SaaS offering with unlimited metrics, logs, traces, and dashboards.\n\nIn 2025, Grafana Labs competes in the observability platform market against Datadog, New Relic, Dynatrace, and the ELK/OpenSearch stack for enterprise monitoring and observability. Grafana's open-source-first model creates a moat through developer community and ecosystem — engineers who build personal dashboards on Grafana become advocates for Grafana Cloud at their employers. The company's OpenTelemetry alignment and multi-source data philosophy ("query any data, anywhere") differentiates it from Datadog's monolithic agent model. The 2025 strategy focuses on growing Grafana Cloud enterprise adoption, advancing AI-powered Sift (automatic anomaly investigation), and expanding the Grafana IRM (incident response management) product.
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