feat(landing): Maple vs Axiom comparison page, and a Surfaces section for the template

apps/landing/messages/en.json

@@ -28,6 +28,7 @@
 	"nav_vs_new_relic": "Maple vs New Relic",
 	"nav_vs_dash0": "Maple vs Dash0",
 	"nav_vs_signoz": "Maple vs SigNoz",
+	"nav_vs_axiom": "Maple vs Axiom",
 	"nav_nextjs": "Next.js",
 	"nav_python": "Python",
 	"nav_nodejs": "Node.js",
@@ -53,6 +54,7 @@
 	"nav_desc_vs_new_relic": "OTel-native, predictable pricing",
 	"nav_desc_vs_dash0": "Open source and self-hostable",
 	"nav_desc_vs_signoz": "Issues, session replay, one local binary",
+	"nav_desc_vs_axiom": "Issues, session replay, one meter",
 	"nav_product_footer": "Everything in one platform",
 	"nav_product_footer_cta": "Explore all features \u2192",
 
@@ -169,6 +171,7 @@
 	"bill_link_vs_nr": "Maple vs New Relic",
 	"bill_link_vs_dash0": "Maple vs Dash0",
 	"bill_link_vs_signoz": "Maple vs SigNoz",
+	"bill_link_vs_axiom": "Maple vs Axiom",
 
 	"start_endpoint_label": "Endpoint",
 
@@ -343,6 +346,7 @@
 	"footer_vs_new_relic": "vs New Relic",
 	"footer_vs_dash0": "vs Dash0",
 	"footer_vs_signoz": "vs SigNoz",
+	"footer_vs_axiom": "vs Axiom",
 	"footer_integrations": "Integrations",
 	"footer_community": "Community",
 	"footer_github": "GitHub",
@@ -1049,8 +1053,8 @@
 	"stack_chip_any_mcp": "Any MCP client",
 
 	"cmp_eyebrow": "Compare",
-	"cmp_hub_seo_title": "Maple vs Datadog, Grafana, New Relic, Dash0 and SigNoz — Observability Compared",
-	"cmp_hub_seo_desc": "Side-by-side comparisons of Maple with Datadog, Grafana Cloud, New Relic, Dash0 and SigNoz: where each differs, where each is ahead, and what a month costs at list price.",
+	"cmp_hub_seo_title": "Maple vs Datadog, Grafana, New Relic, Dash0, SigNoz and Axiom \u2014 Observability Compared",
+	"cmp_hub_seo_desc": "Side-by-side comparisons of Maple with Datadog, Grafana Cloud, New Relic, Dash0, SigNoz and Axiom: where each differs, where each is ahead, and what a month costs at list price.",
 	"cmp_hub_title": "Maple, compared.",
 	"cmp_hub_lede": "One page per vendor. Each lists where the two differ and where the other tool is ahead, and prices the same month on both at list price. Every vendor claim links to its source and carries the date it was checked.",
 	"cmp_hub_matrix_eyebrow": "At a glance",
@@ -1063,6 +1067,7 @@
 	"cmp_nav_price": "Price",
 	"cmp_nav_migration": "Migration",
 	"cmp_nav_faq": "FAQ",
+	"cmp_nav_surfaces": "Surfaces",
 	"cmp_diff_eyebrow": "Differences",
 	"cmp_diff_title": "Where Maple and {name} differ",
 	"cmp_diff_lede": "Every cell is a sentence, not a checkmark. The gutter says who has the edge on that row; rows where both tools do the same thing are collapsed into one line at the end.",
@@ -1089,6 +1094,19 @@
 	"cmp_migration_lede": "Telemetry moves with one exporter change. Dashboards and alert rules don't cross vendors, so plan those as the real work.",
 	"cmp_migration_diff_label": "The change",
 	"cmp_migration_diff_caption": "Add Maple as a second exporter, run both, then drop the first.",
+	"cmp_surfaces_eyebrow": "Surfaces",
+	"cmp_surfaces_title": "What {name} leaves you to build",
+	"cmp_surfaces_instead_label": "On {name}:",
+	"cmp_surfaces_link": "See the surface",
+	"cmp_surface_map_name": "Service map",
+	"cmp_surface_map_body": "Every service, queue and database, drawn from the spans themselves. There is no topology file to maintain. Edges carry throughput, error rate and latency, and clicking one opens the traces behind it.",
+	"cmp_surface_sessions_name": "Browser sessions and replay",
+	"cmp_surface_sessions_body": "Watch the session back with its DOM, console, network and errors, and open the backend trace behind any click. Masking happens in the browser, before anything leaves the page.",
+	"cmp_surface_analytics_name": "Web analytics",
+	"cmp_surface_analytics_body": "Visitors, page views, referrers, countries and Web Vitals, from the same browser SDK that is already recording sessions. One script, and every number opens into the sessions behind it.",
+	"cmp_surface_analytics_shot": "The Web Analytics page: unique visitors, sessions, page views and bounce rate over the last 7 days, with the live visitor badge and the visitors and page views chart",
+	"cmp_surface_k8s_name": "Kubernetes console",
+	"cmp_surface_k8s_body": "Workloads, restarts and rollouts with live CPU and memory per pod, joined to the traces and logs of the service running inside them.",
 	"cmp_sources_eyebrow": "Sources",
 	"cmp_sources_title": "Where the {name} claims come from",
 	"cmp_sources_lede": "Vendor facts on this page link to the vendor's own pages and carry the month they were last checked. If one is stale, tell us.",
@@ -1133,6 +1151,7 @@
 	"cmp_topic_errors": "Error workflow",
 	"cmp_topic_local": "Local development",
 	"cmp_topic_cost_controls": "Cost controls",
+	"cmp_topic_volume_pricing": "Price at high volume",
 	"cmp_topic_channels": "Notification channels",
 	"cmp_dd_seo_title": "Maple vs Datadog — an open-source Datadog alternative, compared honestly",
 	"cmp_dd_seo_desc": "Maple vs Datadog for observability: where they differ, where Datadog is ahead, and what one month costs on each at list price. Open source, OpenTelemetry-native, no per-host fees.",
@@ -1324,7 +1343,7 @@
 	"cmp_sn_selfhost_them": "Docker, Swarm, Helm and Foundry installs with per-platform guides. Multi-user with roles and Google OAuth in the Community edition.",
 	"cmp_sn_promql_maple": "No PromQL. Visual builder and SQL, one grammar across signals.",
 	"cmp_sn_promql_them": "Query Builder v5, ClickHouse SQL and PromQL in dashboards. Prometheus rules carry over.",
-	"cmp_sn_cost_controls_maple": "Sampling guidance and volume alerts. No hard ingest cap.",
+	"cmp_sn_cost_controls_maple": "A monthly spend ceiling with per-signal caps in the billing settings. In pause mode the ingest gateway rejects past the limit. In notify mode it warns and keeps taking data.",
 	"cmp_sn_cost_controls_them": "Ingest Guard: daily caps per signal and per team in Cloud that drop data past the limit.",
 	"cmp_sn_channels_maple": "Slack, PagerDuty, Discord, Telegram, email and webhooks.",
 	"cmp_sn_channels_them": "Nine channel types, including Opsgenie, Microsoft Teams, Incident.io, Rootly and Zenduty.",
@@ -1342,6 +1361,55 @@
 	"cmp_sn_faq_4_a": "Yes. SigNoz has the more polished path today: Docker Compose, Helm, Foundry and platform guides, multi-user with roles in the Community edition. Maple self-hosts from the repository with a compose file, your ClickHouse and a root password, single-org, and runs as one binary with an embedded ClickHouse for local development.",
 	"cmp_sn_faq_5_q": "Does SigNoz have session replay?",
 	"cmp_sn_faq_5_a": "No, and their community has said it isn't planned. SigNoz ingests browser traces, logs and Web Vitals over OpenTelemetry. Maple records and replays browser sessions with the trace behind each event, masked in the browser before anything leaves the page.",
+	"cmp_ax_seo_title": "Maple vs Axiom: an event store with APL, or a platform you can self-host",
+	"cmp_ax_seo_desc": "Maple vs Axiom: both ingest OpenTelemetry and bill on usage with no per-seat fee. Where they differ on price, the error workflow, session replay, self-hosting and APL. Where Axiom is ahead, and what one month costs on each.",
+	"cmp_ax_hero_title": "Maple vs Axiom",
+	"cmp_ax_hero_lede": "Axiom and Maple both take OpenTelemetry in, bill on usage, and charge nothing per seat. The difference is what sits on top of the store. Axiom gives you APL and a dashboard builder. Maple ships the surfaces built, including the service map, session replay and web analytics, and you can self-host all of it. Below: where the two diverge, what Axiom leaves you to build, where Axiom is ahead, and what the same month costs on each.",
+	"cmp_ax_pricing_maple": "$39 a month with 100 GB per signal included, then $0.30 per GB. One meter. Queries, storage and single sign-on are not separate line items.",
+	"cmp_ax_pricing_them": "$25 a month, then three meters: data loading from $0.12 per GB, query compute from $0.20 per GB-hour, storage $0.03 per GB. The free allowance is 1 TB, 100 GB-hours and 100 GB. Single sign-on costs $100 a month, RBAC and the audit log $50 each.",
+	"cmp_ax_volume_pricing_maple": "$0.30 per GB at every volume. Lower rates exist on Enterprise but are not published.",
+	"cmp_ax_volume_pricing_them": "The ingest rate falls as volume grows, with no negotiation: $0.12 per GB, $0.085 above 500 TB, $0.06 above 5 PB. Pre-purchased credits take up to 40% off that.",
+	"cmp_ax_errors_maple": "Exceptions become issues with an owner, a state, a severity and comments. A resolved issue that fires again reopens.",
+	"cmp_ax_errors_them": "No issue object. Exceptions stay events: you query them in APL, group by message, and have a monitor notify per group.",
+	"cmp_ax_rum_maple": "Browser session replay with the trace behind every click, Web Vitals through the browser SDK, and a Swift SDK for iOS.",
+	"cmp_ax_rum_them": "Web Vitals from the browser and a zero-config app for Vercel. No session replay, no mobile SDK.",
+	"cmp_ax_local_maple": "One binary with an embedded ClickHouse. `maple start` on a laptop, no containers, no account.",
+	"cmp_ax_local_them": "Cloud only. Local work still means a dataset in a real organisation and a token in your environment.",
+	"cmp_ax_source_maple": "On GitHub under FSL-1.1, converting to Apache 2.0 two years after each release.",
+	"cmp_ax_source_them": "Closed. The SDKs, Collector configurations and the Vercel app are public. The platform is not.",
+	"cmp_ax_selfhost_maple": "Yes. The whole platform on your own infrastructure, your own ClickHouse, retention you set.",
+	"cmp_ax_selfhost_them": "No. Axiom runs the edge deployments, in US East and EU Central. Enterprise can point storage at its own S3 bucket.",
+	"cmp_ax_retention_maple": "30 days on the cloud plan at the flat rate. Longer on Enterprise, and your call when you self-host.",
+	"cmp_ax_retention_them": "Configurable per dataset and billed as storage: $0.03 per compressed GB a month, 100 GB free. A year of logs costs cents a gigabyte.",
+	"cmp_ax_query_maple": "One visual builder across every signal. When you want the query itself it is ClickHouse SQL, through the API or the MCP server.",
+	"cmp_ax_query_them": "APL for events, MPL for metrics. Over a hundred functions, plus a skill that translates Splunk's SPL into APL.",
+	"cmp_ax_ai_maple": "A hosted MCP server over the product's own queries, scoped to the org inside the SQL. Investigations run the diagnosis and write up what broke.",
+	"cmp_ax_ai_them": "An MCP server, six agent skills (SRE, metrics, dashboards, alerting, cost control, SPL translation) and Spotlight, which diffs two sets of events. Query cost limits per token stop an agent running up the bill.",
+	"cmp_ax_integrations_maple": "OpenTelemetry receivers plus a native catalog: Cloudflare, PlanetScale, GitHub, Kubernetes, Docker, Prometheus.",
+	"cmp_ax_integrations_them": "Over forty apps, including Vector, CloudWatch, Lambda, Heroku and CI/CD. A Splunk app federates search across both tools.",
+	"cmp_ax_cost_controls_maple": "A monthly spend ceiling with per-signal caps in the billing settings. In pause mode the ingest gateway rejects past the limit. In notify mode it warns and keeps taking data.",
+	"cmp_ax_cost_controls_them": "Spend alerts and hard caps in the console. Past the limit, ingestion pauses instead of billing as overage.",
+	"cmp_ax_compliance_maple": "No SOC 2 report yet. Self-hosting keeps the data in your own audited environment.",
+	"cmp_ax_compliance_them": "SOC 2 Type II, ISO 27001, GDPR, a self-serve HIPAA BAA, and a choice of US or EU residency.",
+	"cmp_ax_mig_1_title": "Keep the Collector, add an exporter",
+	"cmp_ax_mig_1_body": "Both platforms ingest standard OTLP, so SDKs, auto-instrumentation and semantic conventions carry over unchanged. Add Maple next to the Axiom exporter and ship to both until the alerts you care about fire from Maple.",
+	"cmp_ax_mig_2_title": "Move the dashboards and monitors with one prompt",
+	"cmp_ax_mig_2_body": "Dashboards and monitors do not travel over OTLP, and neither does APL. Both platforms expose an MCP server: Axiom's reads what you have, Maple's creates it. Connect an agent to both and ask it to port everything, translating the queries as it goes.",
+	"cmp_ax_faq_1_q": "Is Axiom open source? Can I self-host it?",
+	"cmp_ax_faq_1_a": "No to both. Axiom publishes its SDKs, Collector configurations and the Vercel app, but the platform is closed and runs only in Axiom's own edge deployments, today US East and EU Central. Enterprise customers can keep object storage in their own S3 bucket, which is data residency rather than self-hosting. Maple's source is on GitHub under FSL-1.1, converts to Apache 2.0 two years after each release, and runs on your own infrastructure with your own ClickHouse.",
+	"cmp_ax_faq_2_q": "How is Maple different from Axiom?",
+	"cmp_ax_faq_2_a": "Axiom is an event store first. Everything lands in a dataset, you query it in APL, and a monitor runs that query on a schedule. Maple is the product on top of that storage. Exceptions become issues with an owner and a state, browser sessions replay with the trace behind each click, agent sessions are a signal of their own, and one binary runs the whole thing on a laptop. Axiom is ahead on price at volume, retention economics, integration breadth and compliance.",
+	"cmp_ax_faq_3_q": "Which is cheaper, Axiom or Maple?",
+	"cmp_ax_faq_3_a": "At the reference workload Maple is, because Axiom's platform fee and query-compute meter start charging before Maple's overage does. Above a terabyte a month Axiom's ingest rate is the lower one and keeps falling with volume, and its storage pricing makes long retention cheap. The receipts above run both published rate cards on the same month, and the calculator lets you change the volumes.",
+	"cmp_ax_faq_4_q": "Does Axiom have error tracking or session replay?",
+	"cmp_ax_faq_4_a": "Not as products. Exceptions are events you query in APL and group inside a monitor, so nothing carries an owner, a state or a reopen. There is no session replay. Maple has both: issues with a lifecycle, and browser replay masked in the page before anything leaves it.",
+	"cmp_ax_faq_5_q": "Do I have to learn APL?",
+	"cmp_ax_faq_5_a": "On Axiom, mostly yes. APL for events, MPL for metrics, and a skill that translates SPL if you are arriving from Splunk. Maple's visual builder covers every signal, and when you want the query itself it is ClickHouse SQL, through the API or the MCP server.",
+	"cmp_ax_surfaces_lede": "Axiom stores events and hands you a dashboard builder. Every view is a panel you write in APL. Maple ships these four built, and none of them is a chart you could assemble out of panels.",
+	"cmp_ax_surface_map_instead": "no dependency graph. You aggregate caller and callee pairs in APL and read the topology as a table.",
+	"cmp_ax_surface_sessions_instead": "nothing to build on. Axiom stores browser events if you send them, but there is no capture and no replay.",
+	"cmp_ax_surface_analytics_instead": "a dashboard you assemble from APL over your own events, with no path from a number to the session that produced it.",
+	"cmp_ax_surface_k8s_instead": "a Kubernetes app that ships the data, and dashboards you build over it.",
 
 	"home_objections_aria": "Common questions",
 	"home_objection_selfhost_claim": "Self-host the whole thing",