The main difference between Coralogix, Sumo Logic, and CubeAPM lies in how they handle data ownership, pricing transparency, and OpenTelemetry (OTEL) support.

Coralogix emphasizes log lifecycle management and is mostly a SaaS platform, while Sumo Logic focuses on large-scale cloud analytics and SIEM. On the other hand, CubeAPM offers a unified full-stack observability suite — logs, metrics, traces, and RUM — with unlimited log retention, smart sampling, self-hosting, and predictable pricing.

In this article, we’ll explore Coralogix vs Sumo Logic vs CubeAPM comparison based on their features, pricing, deployment models, and use cases to help you identify the best observability tool that fits your organization’s scale and compliance requirements.

Coralogix vs Sumo Logic vs CubeAPM Comparison

Coralogix vs Sumo Logic vs CubeAPM: Feature-by-Feature Breakdown

Multi-Agent Support

When evaluating Coralogix vs Sumo Logic vs CubeAPM, multi-agent support reflects how easily a system can ingest data from a variety of telemetry sources (logs, metrics, traces) via different agents or collectors. 

CubeAPM: CubeAPM supports a wide range of collection agents, including OpenTelemetry, Prometheus, Datadog, New Relic, and Elastic agents. It works “out of the box with OpenTelemetry, Prometheus, and New Relic agents” for broad compatibility. This makes CubeAPM particularly suited for organizations migrating from mixed tool stacks or wanting to unify disparate agent types under one observability platform.

Coralogix: Coralogix supports agents and integrations through its observability pipeline (logs, metrics, traces) and has extended capabilities for “agents” via its MCP Server for AI-agent access to telemetry. However, from publicly documented integrations, the focus appears more on log agents, Elastic/FluentBit style ingestors, and less on wide native support for every major agent ecosystem. In practice, larger mixed-agent architectures may require extra configuration.

Sumo Logic: Sumo Logic supports both an “Installed Collector” and a “OpenTelemetry Collector” distribution. Their docs confirm compatibility with multiple platforms (Linux, MacOS, Windows, Kubernetes) and source types such as local files, syslog, host/process metrics, and transaction tracing. While this confirms good collector support, the breadth of native agent “plug-and‐play” for every major vendor agent (e.g., Datadog agent, New Relic agent) is comparatively less emphasized in public documentation.

MELT Support (Metrics, Events, Logs, Traces)

Here we’re looking at how each platform in this Coralogix vs Sumo Logic vs CubeAPM comparison covers the full suite of telemetry signals—Metrics, Events, Logs, and Traces (MELT)—and how deeply each integrates them into one cohesive observability experience.

CubeAPM: CubeAPM is a true full-stack observability solution, covering all four MELT pillars plus extras like RUM (Real User Monitoring), synthetic monitoring and error tracking. Teams using CubeAPM can trace a slow transaction (trace), see the logs associated with it, monitor relevant metrics (e.g., latency, error rate) and map events (like deployment or scaling changes) all in one place—with smart sampling to preserve high-fidelity data while keeping costs down.

Coralogix: Coralogix also presents itself as a “cross-stack observability platform” that combines logs, metrics, traces, security and AI observability. Their platform overview confirms support for APM & Tracing, Log analytics, Infrastructure & metrics and even Real User Monitoring. The docs show OpenTelemetry support for traces, logs and metrics.

Sumo Logic: Sumo Logic covers logs, metrics and traces with documented support for tracing within its APM offering. From publicly available documentation, the emphasis appears slightly heavier on logs and metrics (and events in the context of logs/metrics) rather than providing a deeply integrated synthetic monitoring or full-RUM experience out of the box. 

Setup and Deployment

How each platform handles deployment plays a key role in scalability, compliance, and data control. While CubeAPM emphasizes flexibility through self-hosting, both Coralogix and Sumo Logic primarily focus on SaaS-based delivery.

CubeAPM: It offers flexible deployment options, including fully managed SaaS or Bring Your Own Cloud (BYOC) self-hosted setups. Teams can deploy CubeAPM directly within their own infrastructure, keeping all telemetry data inside their cloud environment for compliance and low-latency access. The documentation details quick setup via Helm charts and OpenTelemetry Collector configurations for Kubernetes.

Coralogix: It operates as a cloud-based SaaS platform where telemetry is processed in Coralogix’s managed environment. While users can store archived data in their own cloud for cost optimization, live data still routes through Coralogix servers. On-premises deployment is not available. 

Sumo Logic: It runs as a fully managed, multi-tenant SaaS solution optimized for public cloud environments. Deployments use agents or collectors through AWS CloudFormation, Terraform, or Kubernetes DaemonSets. Sumo Logic does not support self-hosted or hybrid deployment modes. 

Pricing for Small, Medium, & Large Teams

Pricing directly impacts scalability and data management decisions, especially for teams ingesting large volumes of logs, metrics, or traces daily. 

To summarize the pricing for Coralogix vs Sumo Logic vs CubeAPM:

Cost for Small Teams (~30):

• CubeAPM: $2,080
• Coralogix: $3,380
• Sumo Logic: $16,300

Cost for Mid-Sized Teams (~125):

• CubeAPM: $7,200,
• Coralogix: $9,700
• Sumo Logic: $42,000

Cost for Large Teams (~250):

• CubeAPM: $15,200
• Coralogix: $22,500
• Sumo Logic: $103,250

CubeAPM Costs: Detailed Calculation 

CubeAPM follows a simple ingestion-based model of $0.15 per GB, covering all data types — logs, metrics, traces, infrastructure, RUM, and synthetic monitoring. There are no additional costs for user seats, support, or retention. This predictable model helps teams plan long-term budgets with clarity. 

• Small teams (~ 30): $2,080
• Mid-sized teams (~ 125): $7,200
• Large teams (~250): $15,200

Coralogix Costs: Detailed Calculation 

Coralogix uses a tiered pricing model where each telemetry type is billed separately: Logs: $0.52/GB, Traces: $0.44/GB, Metrics: $0.05/GB, and AI: $1.5 per 1 million tokens. This structure allows customization but can lead to variability in monthly costs depending on the signal mix and retention levels. 

• Small teams: $3,380
• Mid-size teams: $9,700
• Large teams: $22,500

Sumo Logic Costs: Detailed Calculation 

Sumo Logic follows a usage-based pricing model tied to data scanning volume. Based on the official pricing details, costs range between $3.14 – $3.77 per TB scanned, depending on the chosen plan. Additional costs apply for extended retention, analytics credits, and enterprise features. 

• Small teams: $16,300
• Mid-size teams: $42,000
• Large teams: $103,250

Sampling Strategy

Sampling determines how efficiently a platform captures and stores telemetry data while controlling ingestion costs. Each observability tool handles this differently, affecting both accuracy and scalability.

CubeAPM: It uses Smart Sampling, an adaptive, context-aware mechanism that evaluates metrics like latency and error rate before deciding which traces to retain. This ensures critical data is preserved while achieving over 95% compression, greatly reducing storage and processing costs. CubeAPM’s documentation emphasizes that this approach “retains useful samples while operating at much higher efficiency,” helping teams lower cost without losing diagnostic precision.

Coralogix: It employs the Streama architecture for real-time data flow optimization and log pipeline management. While it offers rate control and routing flexibility, Coralogix does not highlight a native “smart” or “tail-based” sampling mechanism. Instead, it focuses on tiered retention (hot, warm, archive) and indexing efficiency to manage costs rather than adaptive sampling per trace or event. 

Sumo Logic: It uses probabilistic sampling for trace and metrics data, allowing users to filter or downsample telemetry data. While effective for standard workloads, this may not capture high-fidelity transaction detail in very large, distributed systems. 

Data Retention

Log retention policies determine how long telemetry data remains searchable and how each vendor balances cost with compliance. Here’s how CubeAPM, Coralogix, and Sumo Logic approach retention:

CubeAPM: It provides unlimited log retention at no extra cost, allowing teams to store all telemetry data—logs, metrics, traces, and events—indefinitely within their own environment. Because CubeAPM can be deployed in a Bring-Your-Own-Cloud (BYOC) setup, all data remains under the customer’s control while meeting compliance and localization requirements. This is beneficial for long-term analytics, audits, and AI model training on historical data. 

Coralogix: It offers tiered retention through its “hot, warm, and archive” storage architecture. Active (hot) data is searchable in real time, warm data remains available for medium-term analysis, and archived telemetry can be offloaded to the customer’s own cloud. This structure enables long-term retention while optimizing cost, but archived data incurs public cloud egress when restored for querying. 

Sumo Logic: It provides 3o days of log retention by default, with extended multi-year retention available in Enterprise tiers for extra charges. Retention is governed through Sumo Logic’s Continuous Intelligence Platform, which automatically manages hot and cold storage for performance efficiency. Customers can also export data to their own cloud storage for longer retention at additional cost. 

Support Channel, Response Time & Pricing

Support responsiveness can heavily impact uptime and troubleshooting efficiency. Here’s how each vendor handles it:

CubeAPM: It provides direct Slack and WhatsApp support with engineers, ensuring responses within minutes. Support is included at no extra cost, helping teams resolve issues quickly without escalation delays. 

Coralogix: It offers 24/7 in-app chat and email support, with quick responses during onboarding and enterprise use. Support is free for all plans and backed by extensive product documentation. 

Sumo Logic: It provides email and chat support for Essentials/Professional tiers (business hours) and 24/7 coverage for Enterprise plans, with premium SLAs available at extra cost. 

Known For

Each of these observability tools has carved a niche in how they approach data collection, storage, and visualization.

CubeAPM: It is known for OpenTelemetry-native full-stack observability with complete MELT coverage and predictable pricing. The platform’s self-hosting and Bring-Your-Own-Cloud (BYOC) options make it ideal for organizations prioritizing data residency, compliance, and cost control.

Coralogix: It is recognized for log lifecycle management and cost-optimized data storage. Its index-free architecture and customer-managed archival allow teams to retain massive datasets while controlling costs, making it popular for high-volume log analytics and AI-powered anomaly detection.

Sumo Logic: It is best known for cloud-native log analytics and SIEM capabilities. The platform delivers scalable machine data insights and real-time dashboards suited for security monitoring and DevOps analytics in large, distributed cloud environments.

Which Tool Is Best for You? Why Brands Choose CubeAPM

Choosing the right observability platform depends on your infrastructure maturity, compliance goals, and budget predictability. In this Coralogix vs Sumo Logic vs CubeAPM comparison, each tool has unique strengths — but one provides the clearest balance of control, cost, and coverage.

Coralogix stands out for log lifecycle management and flexible archival that helps control storage expenses. Sumo Logic, on the other hand, is ideal for cloud-native enterprises prioritizing SIEM, machine data intelligence, and integrated analytics. Both offer solid SaaS convenience but are limited by usage-based pricing and lack of self-hosting flexibility.

CubeAPM is the best choice for teams seeking OpenTelemetry-native, full-stack observability with predictable pricing, flexible deployment, and unlimited retention. CubeAPM helps engineering and DevOps teams monitor, trace, and analyze applications across microservices while maintaining complete data ownership — all at a fraction of traditional APM costs.

Benefits of Choosing CubeAPM

• Predictable pricing: $0.15/GB ingestion with no extra charges for users, support, or features, giving teams full cost transparency.
• Full-stack observability: Unified MELT (Metrics, Events, Logs, Traces) with built-in RUM, synthetic monitoring, and error tracking.
• Flexible deployment: Deploy as SaaS or Bring Your Own Cloud (BYOC) to meet compliance and data residency requirements.
• Smart sampling: Over 95% compression ensures cost efficiency without losing critical diagnostic traces.
• Unlimited log retention: Store and query all telemetry data indefinitely at no additional cost.
• Instant support: Direct Slack and WhatsApp access to engineers for minute-level response times.

Coralogix vs Sumo Logic vs CubeAPM: Use Cases

Each observability platform in Coralogix vs Sumo Logic vs CubeAPM comparison is built for different types of teams and priorities — whether that’s controlling costs, ensuring compliance, or scaling analytics across multi-cloud environments. Here’s where each tool fits best:

Choose Coralogix if: 

You are a data-intensive team or enterprise that prioritizes log lifecycle management, real-time analytics, and cost-optimized archival. It fits organizations balancing large-scale data ingestion with retention flexibility.

• For log-heavy environments: Handle petabytes of logs using an index-free architecture for faster querying and lower indexing costs.
• For cost-conscious enterprises: Archive data to your own cloud while maintaining searchable hot data in Coralogix’s SaaS layer.
• For compliance-aware teams: Keep archived telemetry in your cloud to maintain data sovereignty while meeting cost and retention goals.
• For anomaly detection: Leverage built-in machine-learning alerts and correlation for automated insight across log streams.

Choose Sumo Logic if: 

You operate in a cloud-native enterprise environment that needs machine data analytics, SIEM, and operational visibility across distributed systems. It’s best for teams emphasizing security, scale, and centralized analytics.

• For security operations: Integrated SIEM and threat detection provide real-time alerts for incident investigation and compliance audits.
• For hybrid or multi-cloud deployments: Simplifies observability with unified log, metric, and trace ingestion across AWS, Azure, and GCP.
• For large-scale analytics: Combines dashboards, correlation queries, and alerts for quick pattern detection across terabytes of data.
• For enterprise continuity: 365-day retention by default with 24/7 enterprise support for mission-critical environments.

Choose CubeAPM if:

You need OpenTelemetry-native, full-stack observability with predictable pricing and flexible deployment. It’s the best choice for startups, DevOps/SRE teams, and regulated enterprises that value speed, data ownership, and transparency.

• For startups and SMBs: Rapid setup in under an hour, flat $0.15/GB pricing, and unlimited data retention — perfect for early-stage teams that need control without surprise bills.
• For full-stack observability: Unified APM, infra, logs, metrics, traces, RUM, and synthetic monitoring from one dashboard for complete MELT visibility.
• For compliance-heavy industries: Supports self-hosting (BYOC) and on-prem deployment to meet compliance.
• For DevOps and SREs: Smart sampling with 95%+ compression preserves critical traces while reducing data noise for faster root-cause analysis.
• For scalability and MTTR: Real-time Slack/WhatsApp support and context-rich dashboards reduce mean time to resolution across microservices.

Coralogix vs Sumo Logic vs CubeAPM: Which Is Better?

While Coralogix and Sumo Logic deliver strong cloud-based analytics, both face challenges with unpredictable pricing, limited self-hosting, and rising data costs as telemetry scales.

CubeAPM eliminates these pain points through flat $0.15/GB pricing, full-stack OpenTelemetry-native observability, self-hosting (BYOC) flexibility, and unlimited retention. With smart sampling, real-time Slack/WhatsApp support, and unified MELT coverage, CubeAPM empowers DevOps teams to achieve faster root-cause analysis and complete control over their data.

Experience observability without limits — Book a free CubeAPM demo today.