Buying snapshot
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| Decision point | What Coralogix states |
|---|---|
Where data is kept | All data is written to your own Amazon S3 bucket after parsing and enrichment, and you choose how long it stays there. |
Data sources | AWS, Azure, GCP, LLMs, browser and mobile, databases, OpenTelemetry and eBPF. |
Monitoring scope | APM, infrastructure, network and database monitoring, error tracking, session replay, log analytics, AI observability, SIEM and CSPM. |
Included in every account | Unlimited sources, users and hosts, plus RBAC and SSO with SAML, audit trail, IP access control and a cross-team quota manager. |
Support | 24/7 support from software engineers at no extra cost. Coralogix reports a 17-second median response and a 1-hour median resolution, and says onboarding and integration help cost nothing. |
Automation | An API and an Apache 2.0 Terraform provider for Terraform 1.x, with a guide for generating configuration for existing resources. |
Our take
Choose Coralogix when you want to keep all of your telemetry, for as long as you need, in your own cloud storage, and you want cost to follow data volume rather than the number of users or hosts.
Evaluate Coralogix
Popular comparisons
See all 7 Coralogix comparisons
Where it stands out
Old data stays searchable. DataPrime queries the archive in your bucket in place, with no rehydration step. Coralogix says these queries from its UI cost nothing extra and use no additional quota.
Processing before storage. Streama parses, enriches and aggregates data in the stream before anything is stored. Analysis and alerting also run in the stream, and processed telemetry can be forwarded to your other systems.
Several ways to investigate. Olly takes questions in natural language, the MCP connector brings insights into Slack, PagerDuty or your IDE, and the CLI scripts investigations and pipes results into runbooks or CI/CD.
LLM monitoring in the same platform. AI observability includes an evaluation engine and cost tracking, AI-SPM covers AI security, and AI Center can run several evaluators, such as PII and bias checks, on the same item in parallel.
Product screenshot
Trade-offs to weigh
A busy day can block data. You get an email at 80% of the daily plan. If you reach the quota without contacting Coralogix, upgrading or reprioritizing data, Coralogix says data is temporarily blocked until 00:00 UTC, when it is released automatically. Its recommended Pay-As-You-Go feature lets ingestion continue up to 2X the daily quota, and usage past an exhausted daily plan is billed at the Pay As You Go rate unless the plan is upgraded. If your volume varies by day, decide in advance how peak days are handled.
Unused units are lost. Units and tokens must be used within the subscription term. Leftovers expire and cannot be carried forward, refunded or credited.
Fast-search retention is short by design. Coralogix's pricing FAQ says log data in the Frequent Search pipeline is indexed to Coralogix hot storage for fast queries. You choose that retention, but Coralogix generally does not recommend more than 7 days, because the data is always in your S3 bucket. Its home page says nothing is indexed, so ask which pipelines your plan uses and which logs need Frequent Search.
Your own storage bill grows too. Data archived in your bucket adds S3 costs. Coralogix puts the effective S3 storage cost at $0.003 per GB for logs and traces, after 5x compression, and $0.000033 per GB for metrics, after 30x compression.
Pricing and plan conditions
Coralogix says there are no pricing tiers and that all features and support are included. You buy a plan for a set number of units, where 1 unit is $1.50 worth of logs, metrics and traces, so you still pay by the amount of data you ingest. Usage is converted to units by the pipeline your data is routed to and counted against a daily quota; the TCO Optimizer assigns data to pipelines by use case. In Coralogix's own example, 1.3 GB of logs in frequent search ($1.15/GB) is 1 unit, and 3 GB of logs in the monitoring pipeline ($0.50/GB) is also 1 unit. These example rates differ from the per-GB rates in the table, so ask which pipeline each rate applies to before you size a plan. AI evaluation uses tokens, measured monthly; Coralogix's example is 10,000 items through 3 evaluators consuming 30,000 tokens. The 14-day free trial includes all features and 8 units, with no credit card.
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| Data type | Published rate | Terms listed |
|---|---|---|
Logs | $0.42 per GB | Infinite retention; stored in your bucket |
Traces | $0.16 per GB | Infinite retention; stored in your bucket |
Metrics | $0.06 per GB | 1 GB = 750 active time series, counted in a rolling 60-minute window; infinite retention; stored in your bucket |
AI | $1.50 per 1M tokens | Infinite retention; real-time AI evaluation |
Public signals
About these signals
Verified factual signals from public sources. They indicate observable activity or interest, not total adoption, product quality, or cost.
193 GitHub commits 90d22 GitHub stars0 vulnerabilities across 2 packages
See all signals from 8 sources
npm · @coralogix/browser@4.2.0 · PyPI · coralogix-logger@2.1.1
Alternatives to Coralogix
The reviewed substitutes for Coralogix among the observability platforms, and what would make each one the better answer.
Direct alternatives
Reviewed substitutes: products bought for the same job, where a team picks one.
- Datadog
- Datadog and Coralogix both ingest logs, metrics and traces, alert on them and support debugging. Datadog is a broad platform for infrastructure, APM and security, while Coralogix analyses data in stream as it arrives and controls what is stored, which keeps high log volumes affordable.Applies to: Choosing the observability backend that will receive OpenTelemetry data and carry on-call.
- Observe
- Observe and Coralogix both aim to make large volumes of logs, metrics and traces affordable to keep and quick to search. Observe does it by storing all telemetry in a data lake linked by a context graph, while Coralogix analyzes data in stream as it arrives and optimizes what is stored.Applies to: Choosing between these two for the apm observability decision.
- Uptrace
- Uptrace and Coralogix both store logs, metrics and traces with a strong focus on keeping observability costs predictable. Uptrace runs on ClickHouse and OpenTelemetry and can be self-hosted, while Coralogix is a SaaS platform that analyzes data in stream and adds security monitoring.Applies to: Choosing between these two for the apm observability decision.
- AppDynamics
- AppDynamics and Coralogix both give engineering teams full-stack observability across applications and infrastructure. AppDynamics, from Cisco, is rooted in APM and traces business transactions through critical applications, while Coralogix is strongest in log analytics, parsing and analyzing data in stream to keep storage costs down.Applies to: Choosing between these two for the apm observability decision.
- Better Stack
- Better Stack and Coralogix each collect logs, metrics and traces so teams can troubleshoot production. Better Stack adds incident management, on-call scheduling and status pages to the same product, while Coralogix puts its weight on in-stream log analytics and cost-optimized data handling, with security monitoring as well.Applies to: Choosing between these two for the apm observability decision.
See detailed alternatives analysis
Coralogix delivers in-stream analytics, log parsing, and cost-optimized data management across logs, metrics, traces, and security signals. However, its tiered ingestion pricing and learning curve push many teams to evaluate Coralogix alternatives that better fit their budget or operational model. Whether you need a purely open-source metrics stack, a cloud-native monitoring service tied to your existing provider, or a developer-focused error tracking platform, the observability market offers strong options worth considering.
Top Coralogix Alternatives
Elastic Observability builds on the Elastic Stack to deliver logs, metrics, traces, and security analytics in a single platform. Its AI-powered anomaly detection and full OpenTelemetry compliance make it a strong fit for teams already running Elasticsearch. Elastic Cloud Hosted starts at $99/month for Standard, $131/month for Platinum, and $184/month for Enterprise, based on a production setup with 120 GB storage in 2 zones, making costs predictable compared to pure ingestion-based billing.
Dynatrace provides AI-driven full-stack observability with automatic topology discovery across hosts, containers, and cloud services. Its Davis AI engine performs root-cause analysis without manual rule configuration, which appeals to enterprise teams managing complex microservice architectures. Dynatrace uses usage-based pricing tied to host units, GBs ingested, and user sessions.
SigNoz is an open-source, OpenTelemetry-native observability platform that combines traces, metrics, logs, dashboards, and alerts in one tool. The Community Edition is free under Apache 2.0 for self-hosting. SigNoz Cloud Teams is $49/month including $49 of ingestion credits, and usage beyond that starts at $0.30/GB for logs and metrics ingestion, positioning it as a cost-effective Datadog or Coralogix replacement.
Honeycomb takes a query-first approach to observability, built around high-cardinality event data and sub-second query speeds. Its free tier includes 20 million events per month with 60-day retention, while the Pro plan starts at $150/month. We find Honeycomb particularly strong for teams debugging distributed systems where traditional log search falls short.
Better Stack combines uptime monitoring, log management, incident management, and OpenTelemetry-native tracing into a unified SRE platform. Free tier includes 10 monitors with 3-minute checks. Paid plans start at $24/month for logs (10 GB/month) and $29/month for uptime monitoring (50 monitors, 30-second checks), making it one of the most affordable full-stack options available today.
Amazon CloudWatch serves as the native monitoring solution for AWS workloads. It provides metrics, logs, alarms, and dashboards tightly integrated with every AWS service. Pay-as-you-go pricing starts at $0.30/GB for log ingestion, with basic monitoring included at no additional charge. Teams already invested in AWS benefit from zero-setup integration and avoid cross-network egress fees.
Prometheus remains the open-source standard for metrics collection in cloud-native environments. With over 63,000 GitHub stars, its pull-based model, PromQL query language, and native Kubernetes service discovery make it the go-to choice for teams that want full control over their metrics pipeline without licensing costs.
Sentry focuses specifically on application error tracking and performance monitoring for developers. Its SDK-first approach captures errors, traces, session replays, and profiles with minimal setup. The Team plan starts at $26/month, and Business at $80/month, with event-based billing across all signal types.
Architecture and Deployment Comparison
Coralogix runs as a fully managed SaaS platform with in-stream analytics that process data before indexing, reducing storage costs. Elastic Observability and SigNoz both offer self-hosted deployment alongside cloud options, giving teams full infrastructure control. Dynatrace and Honeycomb are SaaS-only, while Amazon CloudWatch and Azure Monitor are embedded within their respective cloud ecosystems. Prometheus requires self-hosting and pairs with Grafana for visualization, though managed Prometheus services exist from multiple cloud providers. OpenTelemetry operates as a vendor-neutral instrumentation layer rather than a backend, meaning teams can collect telemetry once and route it to any compatible platform. Better Stack runs as SaaS with an emphasis on simplicity and fast onboarding.
Pricing Comparison
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| Platform | Model | Starting Price | Free Tier |
|---|---|---|---|
| Coralogix | Usage-based | $0.02/GB (Compliance) | 5 GB/month |
| Elastic Observability | Tiered | $99/month (Standard) | No |
| Dynatrace | Usage-based | Per host unit | No |
| SigNoz | Open Source / Cloud | $0.30/GB (Cloud) | 10 GB/month (Cloud) |
| Honeycomb | Freemium | $150/month (Pro) | 20M events/month |
| Better Stack | Freemium | $24/month (Logs) | 10 monitors |
| Amazon CloudWatch | Usage-based | $0.30/GB (logs) | Basic monitoring |
| Prometheus | Open Source | Self-host | Fully free |
| Sentry | Freemium | $26/month (Team) | 5K errors/month |
Coralogix differentiates with its three-tier ingestion model: Frequent Search at $0.20/GB, Monitoring at $0.09/GB, and Compliance at $0.02/GB. This lets teams route data by access frequency to control costs. SigNoz and Prometheus offer the lowest floor for teams willing to self-host and manage infrastructure.
When to Switch from Coralogix
We recommend evaluating alternatives when Coralogix ingestion costs scale unpredictably as your log volumes grow beyond the included tiers, when you need tighter native integration with a specific cloud provider like AWS or Azure rather than a third-party SaaS layer, or when your team prefers a fully open-source stack with no vendor lock-in. Teams focused primarily on application error tracking rather than full-stack observability may find a specialized tool like Sentry delivers better signal-to-noise at lower overall cost.
Migration Considerations
Most Coralogix alternatives support OpenTelemetry, which simplifies migration by letting you re-route telemetry data without re-instrumenting application code. We suggest running the new platform in parallel during a two-to-four week evaluation window to compare alert fidelity, query performance, and dashboard coverage. Pay close attention to data retention policies, as they vary significantly across platforms and pricing tiers. Export your existing Coralogix dashboards, alert rules, and parsing rules early to map them to equivalent configurations in the target system before cutting over production traffic.