Why engineering teams choose Last9 vs Coralogix
Both have an AI agent and an MCP server. Last9 uses your model provider, charges nothing per investigation, runs in your own cloud account, and bills one licence. Coralogix is logs-first, cuts cost by routing data to cheaper tiers, and runs a SIEM on the same data.
100+ native integrations, OpenTelemetry-first. A Last9 engineer runs the move with your team.
Named a Gartner® Cool Vendor in AI for SRE and Observability, cited for its unified telemetry platform.
The Last9 agent runs on your model provider, with no per-investigation charge, in your own cloud account.
No units per GB, and no AI Units per token. The infrastructure runs on your own cloud bill.
At a glance
Last9 vs Coralogix at a glance
The questions engineering teams ask when they compare the two.
Does it have an MCP server for coding agents?
Yes, a hosted MCP server since March 2025, for any MCP client. An agent can also add drop rules and edit dashboards through it
Yes, a hosted MCP server since July 2025. Its write tools create and change alerts, dashboards, SLOs, and TCO policies
What does the AI cost?
No per-query or per-investigation charge
Olly and its query assistant draw AI Units, billed per million tokens at a rate set by the model, from a pool separate from data units
Can the AI use our model provider, in our own cloud?
Yes. The Last9 agent runs on your model provider or inference endpoint, and Last9 runs in your own cloud account
No. Olly runs on GPT, Claude, or Gemini, hosted in Coralogix's cloud, with no documented option to bring your own model
How is it priced?
One licence. The infrastructure runs on your own cloud bill, at your negotiated rates
In units. Each GB draws units at a rate set by the data type and the TCO tier, and AI draws AI Units. Users, hosts, and sources are unlimited
How much metric cardinality can I keep?
No hard limit. 20M series per metric per day by default, raised on request, with no sampling and no charge per label or metric name
Up to 72M series per metric per day, and past that the metric is blocked until the next UTC day. Each active series counts toward units
Can I filter telemetry before I pay to store it?
Yes. The Control Plane drops, aggregates, and routes metrics, logs, and traces at ingest
Yes. The TCO Optimizer tiers or blocks logs, traces, and RUM at ingest. Parsing rules remap log fields, but not metrics or traces
Can it run in our own cloud account?
Yes. Last9 runs in your own cloud account, on AWS or GCP in any region, and manages it for you
No. Coralogix runs as SaaS in its own cloud. Medium and Low tier data can sit in your S3 or GCS bucket, and a GovCloud-only option runs ingest in your AWS account
Which query languages does it use?
PromQL and LogQL, or none: build log queries in the query builder, or ask in plain English
DataPrime, Coralogix's own language, and Lucene for logs, with PromQL for metrics. The plain-English query assistant draws AI Units
What about security data?
Last9 covers observability. The Control Plane can forward logs to your security tools
Coralogix runs a SIEM and cloud security posture checks on the same platform as its observability
| Capability | Last9 | Coralogix |
|---|---|---|
| Does it have an MCP server for coding agents? | Yes, a hosted MCP server since March 2025, for any MCP client. An agent can also add drop rules and edit dashboards through it | Yes, a hosted MCP server since July 2025. Its write tools create and change alerts, dashboards, SLOs, and TCO policies |
| What does the AI cost? | No per-query or per-investigation charge | Olly and its query assistant draw AI Units, billed per million tokens at a rate set by the model, from a pool separate from data units |
| Can the AI use our model provider, in our own cloud? | Yes. The Last9 agent runs on your model provider or inference endpoint, and Last9 runs in your own cloud account | No. Olly runs on GPT, Claude, or Gemini, hosted in Coralogix's cloud, with no documented option to bring your own model |
| How is it priced? | One licence. The infrastructure runs on your own cloud bill, at your negotiated rates | In units. Each GB draws units at a rate set by the data type and the TCO tier, and AI draws AI Units. Users, hosts, and sources are unlimited |
| How much metric cardinality can I keep? | No hard limit. 20M series per metric per day by default, raised on request, with no sampling and no charge per label or metric name | Up to 72M series per metric per day, and past that the metric is blocked until the next UTC day. Each active series counts toward units |
| Can I filter telemetry before I pay to store it? | Yes. The Control Plane drops, aggregates, and routes metrics, logs, and traces at ingest | Yes. The TCO Optimizer tiers or blocks logs, traces, and RUM at ingest. Parsing rules remap log fields, but not metrics or traces |
| Can it run in our own cloud account? | Yes. Last9 runs in your own cloud account, on AWS or GCP in any region, and manages it for you | No. Coralogix runs as SaaS in its own cloud. Medium and Low tier data can sit in your S3 or GCS bucket, and a GovCloud-only option runs ingest in your AWS account |
| Which query languages does it use? | PromQL and LogQL, or none: build log queries in the query builder, or ask in plain English | DataPrime, Coralogix's own language, and Lucene for logs, with PromQL for metrics. The plain-English query assistant draws AI Units |
| What about security data? | Last9 covers observability. The Control Plane can forward logs to your security tools | Coralogix runs a SIEM and cloud security posture checks on the same platform as its observability |
Differences
Where Last9 and Coralogix differ
Three places the two platforms take a different approach, with the tradeoffs stated.
AI on your model, in your cloud
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One assistant in the app, in Slack, and in your IDE through MCP. It investigates, builds a diagnosis dashboard, and hands you the link.
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The production agent, Last9, responds to pages with context from Slack, Linear, and PagerDuty. It runs on your model provider or inference endpoint and picks the model for each step. Customer data is never used for training.
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An agent can do more than read. Through MCP it can add a drop rule and stop ingesting the noisy source it found.
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Click a point on a chart, a table row, an alert, or an exception, and choose Ask Last9 AI. The investigation starts from that value, in its service context.
Coralogix
Olly, Coralogix's observability agent, and a hosted MCP server. Olly and its query assistant draw AI Units per million tokens, and run on GPT, Claude, or Gemini in Coralogix's cloud.
Tradeoff
Coralogix's MCP server can also change SLOs and TCO policies. Compare both on your own incidents.
One licence instead of units
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One licence. The infrastructure runs on your own cloud bill, at your negotiated rates.
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Labels like customer_id or tenant stay on the metric, with no hard cardinality limit and no charge per label or metric name.
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Drop, remap, redact, forward, and aggregate metrics, logs, and traces at ingest, from the UI. Every rule is previewed against live data before you save it.
Coralogix
Coralogix bills units. The TCO tier sets how many units a GB of logs, traces, or RUM draws, and metrics count active series. Parsing rules block, remove, and replace log fields at ingest, and metrics and traces are blocked or tiered, not remapped. Past 72M series per metric per day, a metric is blocked until the next UTC day.
Matters most for
Teams whose per-customer or per-tenant labels grow faster than their budget, and teams that trim retention to stay inside a unit quota.
Your cloud, and queries without a new language
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Last9 runs single-tenant in your own cloud account, on AWS or GCP in any region, and manages it for you. Every feature runs there, including the AI.
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PromQL and LogQL natively, with a builder and plain-English Ask Mode for anyone who does not write queries. Your own Grafana can also query Last9 metrics as a Prometheus data source.
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APM starts from your services: discovery, dependency maps, database and external calls, Apdex, exceptions, and trace correlation, from OpenTelemetry.
Coralogix
Coralogix runs as SaaS. Medium and Low tier data sits in your S3 or GCS bucket as Parquet, while ingest, High tier data, and Olly run in Coralogix's cloud. Log queries use DataPrime or Lucene.
Matters most for
Teams whose production telemetry must stay in their own cloud account, and app teams that want to query logs without learning DataPrime.
Which fits you
Which one fits your team?
Choose Last9 if
- You want AI on your own model provider, with no charge per investigation or per token
- You want one licence instead of units per GB and AI Units
- Your metrics carry per-customer or per-tenant labels, and each active series draws units
- Production telemetry, not only its archive, must stay in your own cloud account
- You want PromQL and LogQL, or a builder and plain-English Ask Mode, not one vendor's language
Choose Coralogix if
- You want observability and a SIEM on the same data, from one vendor
- Your team writes DataPrime every day, and your alerts depend on it
- Your data splits into hot and rarely queried tiers, and routing it keeps you in budget
- You want an MCP server that writes SLOs and TCO policies
Migration
Moving off Coralogix
What the switch involves, and what Last9 does for you.
Forward deployed engineers
A Last9 engineer runs the move with your team, including your dashboards, alerts, and DataPrime queries.
Talk to an engineerKeep your instrumentation
Services already on OpenTelemetry or Prometheus need only a new endpoint. Coralogix recommends the OpenTelemetry Collector, so most pipelines change one exporter.
See the integrationsQueries without DataPrime
DataPrime queries become PromQL or LogQL, and anyone who does not write queries uses the builder or plain-English Ask Mode.
Run both
Keep Coralogix for your SIEM, and move your Kubernetes and OpenTelemetry services to Last9. The OpenTelemetry Collector can send the same data to both while you compare them on your own incidents.
Objections
The objections we hear most
Each one is a fair reason to hesitate.
Coralogix already has Olly and an MCP server. Why switch for AI?
AI alone is not the difference. What differs is the model, the cost, and where it runs: the Last9 agent runs on your model provider, has no per-investigation charge, and runs inside your own cloud account.
The TCO Optimizer already cuts our Coralogix bill.
It does, and Medium and Low tier data costs less than High tier data. The meter stays: each GB and each active series still draws units, and AI draws AI Units. Last9 is one licence, with the infrastructure on your own cloud bill.
Our archive already sits in our own S3 bucket.
It does, for Medium and Low tier data. Ingest, High tier data, and Olly still run in Coralogix's cloud. Last9 runs the whole platform, including the AI, in your own cloud account.
Our team writes DataPrime queries every day.
DataPrime runs only on Coralogix. Last9 runs PromQL and LogQL natively, with a builder and plain-English Ask Mode for anyone who does not write queries. A Last9 engineer moves your dashboards, alerts, and queries with your team.
Is Last9 proven at our scale?
Last9 regularly handles 500M+ events a minute and 60M+ concurrent users, and has monitored 12 of the world's 20 largest streaming events. It is SOC 2 Type II certified and PCI ready, with SSO and access controls. Teams across fintech, healthcare, gaming, media, and commerce run it in production, including Replit, Pine Labs, Tata 1mg, and Housing.com.
67%
Average reduction in observability costs
2.5x
More telemetry retained without sampling
100+
Native integrations, OpenTelemetry-first
24x7
Support from forward deployed engineers
Customers
What do Last9 customers say?
With Last9, we just eliminated the toil. No more worrying about failing dashboards or alerts — we can finally use our metrics. It just works.
Last9 allowed us to offload the operational overhead of scaling so we could focus on business alerting rather than infrastructure management.
Frequently asked questions
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