Side-by-side comparison of AI visibility scores, market position, and capabilities
San Diego ecommerce analytics platform founded 2017; raised $12M+; consolidates DTC and omnichannel data into a warehouse-first model powering Looker, Tableau, and Power BI dashboards.
Daasity was founded in 2017 in San Diego, California and raised over $12M to build a data analytics platform for DTC and omnichannel brands that want consolidated business intelligence without building internal data engineering infrastructure. The company takes a data warehouse-first approach, integrating e-commerce, advertising, subscription, wholesale, and retail data into a centralized data model that powers both Daasity's own analytics dashboards and feeds into business intelligence tools like Looker, Tableau, and Power BI.\n\nDaasity's pre-built data models and connectors are designed around the specific metrics that DTC operators care about: customer acquisition cost by channel, lifetime value by cohort and acquisition source, contribution margin by SKU and channel, subscription churn and retention, and wholesale versus DTC revenue mix. This DTC-specific data modeling dramatically reduces the time brands need to go from raw data to actionable analytics compared to building custom data models from scratch.\n\nDaasity serves omnichannel brands that sell through a combination of their own DTC website, Shopify, wholesale, Amazon, and retail, with the ability to model the economics of each channel consistently. The company competes against TripleWhale, Northbeam, and Polar Analytics in the DTC analytics space, differentiating through its omnichannel scope, data warehouse flexibility, and appeal to brands with analytics-literate teams that want more control over their data modeling than opinionated analytics dashboards allow.
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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