Top 10 Datadog Competitors and Alternatives You Should Know About in 2027

The right observability stack lets your team instrument every new service without first asking what it’ll cost. Datadog’s bill tends to rise as hosts, logs, and monitored services grow, making its pricing harder to forecast. Retention adds another limit: Datadog indexes APM spans kept by retention filters for 15 days.

The best fit depends on how each platform bills and where it keeps your data. This guide compares 10 Datadog competitors on telemetry coverage, pricing, data ownership, and AI capabilities, plus six factors to help you choose.

The 10 Best Datadog Alternatives in 2027

The table below compares the top Datadog competitors on best fit, logs, APM and traces, metrics, pricing model, and free trial or free tier terms, using vendor-page data from October 2026. Commercial terms vary by package, contract, region, and usage, so confirm current pricing during procurement.

Platform	Best For	Logs	Application Performance Monitoring/Traces	Metrics	Pricing Model	Free Trial
Coralogix	Cross-stack observability on customer-owned data	$0.42/GB	$0.16/GB	$0.06/GB	Ingestion-based, no host or user fees	14 days, eight-unit quota, no credit card
Dynatrace	Automated causal root cause analysis	$0.20/GiB ingest	Included in Full-Stack ($58/host/month)	$0.15 per 100,000 data points	Annual platform commitment	15 days
New Relic	Consolidating tools onto one bill	$0.40/GB after 100 GB free	Included in data ingest	Included in data ingest	Per GB plus per user, or compute	Free tier, 100 GB/month
Splunk	Log analytics and security in regulated sectors	Quote-based	From $60/host/month	From $15/host/month	Per host, or activity, ingest, or workload	14 days
Grafana Cloud	Managed Prometheus and OpenTelemetry backends	From $0.05 processed + $0.40 written + $0.10 retained per GB	Same rates as logs	From $6.50 per 1,000 active series	Volume-based, tiered	Always-free tier
Elastic Observability	Teams with Elasticsearch expertise	From $0.07/GB ingest (Logs Essentials)	From $0.09/GB ingest (Complete)	From $0.023/GB ingest (Complete)	Usage- or resource-based	14 days
Splunk AppDynamics	Business transaction visibility	In Premium and Enterprise	Premium from $33/host/month	From $6/virtual CPU/month	Per host or virtual CPU, annual	30 days
SigNoz	Open-source, OpenTelemetry-native observability	$0.30/GB	$0.30/GB	$0.10 per million samples	Usage-based, from $49/month	30 days
Honeycomb	High-cardinality tracing in microservices	No separate logs plan; logs count as events	Pro from $150/month	Up to 3.75 billion data points per month (Pro)	Per event and data point	Free plan
Sumo Logic	Log analytics plus Security Information and Event Management (SIEM)	Free ingest, billed on scans	Flex credits	Flex credits	Flex credits	14 or 30 days

1. Coralogix

Coralogix is a cross-stack observability platform that helps DevOps, SRE, and platform teams investigate incidents as telemetry arrives. The Streama© engine analyzes logs, metrics, traces, and security events in flight, and your telemetry lands in your own cloud bucket in open Parquet. Olly, Coralogix’s autonomous observability agent, surfaces root causes during incident investigation.

Pros

• No-index architecture: Streama analyzes data in-stream and indexes only what you route to Frequent Search, so you stop paying to index every log before you can search it.
• Portable data: Coralogix writes telemetry to your own cloud bucket in open Parquet format, so your history stays in storage you own if you change vendors.
• Code-aware investigation: With a GitHub repository connected, Olly highlights the file paths and line ranges behind an incident, explains why those lines matter, and suggests targeted fixes.
• Support: Coralogix provides 24/7 in-app support with a median response time under 30 seconds, included in every plan.

Cons

• Query language: DataPrime queries logs, spans, and business data, log search also runs on Lucene, and metrics run on Prometheus Query Language (PromQL), so teams arriving from SQL tools need ramp time.
• Collector migration: Replacing the Datadog Agent with OpenTelemetry (OTel) collectors means deploying and configuring them across your hosts, though a collector running the Datadog receiver can accept data from existing agents during a phased move.
• Pricing model: Ingestion-based pricing asks teams used to per-host or per-user billing to forecast by data volume and to decide which streams route to which pipeline in the TCO Optimizer.

Pricing

Coralogix’s ingestion-based pricing carries no per-host or per-user charges, with logs at $0.42 per GB, traces at $0.16 per GB, and metrics at $0.06 per GB. Customers report 40 to 70 percent cost reduction after routing more telemetry into lower-cost pipelines in the TCO Optimizer. The 14-day trial includes an eight-unit quota and needs no credit card.

Who Is Coralogix Best For?

SRE, DevOps, and platform teams that want ownership of their telemetry and have outgrown per-host billing.

2. Dynatrace

Dynatrace is an observability and security platform for enterprises running hybrid and multi-cloud environments. Davis AI combines predictive and causal AI for observability, security, and business use cases. Teams can build AppEngine custom apps on top of the observability data Dynatrace collects.

Pros

• Root cause: One reviewer reports that Davis AI automatically connects anomalies across layers to the root cause.
• Rollout: Dynatrace says deploying OneAgent once per host automatically discovers every process, service, and dependency.
• Catalog: The Dynatrace Hub lists apps, extensions, and supported technologies in one place.

Cons

• Licensing: One reviewer describes Dynatrace’s classic host-unit licensing as expensive in large-scale environments and complex to understand at first, and new contracts now run on a memory-based platform subscription instead.
• Pricing meters: Dynatrace’s pricing page lists separate meters for host memory, log ingest, and metric data points, so forecasts model each one.
• Querying: One reviewer cites complex syntax in Dynatrace Query Language (DQL) and limited working space in the interface.

Pricing

Full-Stack Monitoring lists at $58 per month per eight-GiB host, and Dynatrace charges $0.01 per memory-GiB-hour under an annual platform commitment. Log ingest costs $0.20 per GiB, and Dynatrace offers a 15-day free trial.

Who Is Dynatrace Best For?

Large enterprises running hybrid and multi-cloud estates that want automated root cause analysis and accept memory-based billing under an annual platform commitment.

3. New Relic

New Relic is an all-in-one observability platform for teams consolidating APM, infrastructure, logs, and synthetics. Default retention varies by data type, and Data Plus extends it for most data types. Queries run in New Relic Query Language (NRQL), a SQL-like language, and New Relic AI translates plain-language questions into NRQL.

Pros

• Real-time views: Reviewers describe real-time monitoring with customizable dashboards.
• No host fees: New Relic includes unlimited hosts, agents, and containers at no additional cost, though add-on features such as Advanced Compute can incur extra charges.
• Free tier: One full platform user comes at no charge.

Cons

• Cost: Reviewers rank cost among the top complaints, and one says costs climb quickly as log and custom-metric ingestion grows.
• NRQL: The query language is powerful and carries a learning curve.
• Two meters: On the user-based option, Pro pricing combines per-user and per-GB charges, so costs track both seats and data volume.

Pricing

Data ingest on the original data option costs $0.40 per GB beyond the free 100 GB each month, and Data Plus costs $0.60 per GB. Pro full platform users cost $349 per month on annual terms.

Who Is New Relic Best For?

Teams that want one bill for APM, infrastructure, logs, and synthetics and accept paying per user as well as per GB.

4. Splunk

Splunk is a data platform for enterprise and public-sector security and observability teams working with large machine-data volumes, with security analytics delivered through Splunk Enterprise Security. Cisco now owns Splunk. Splunk Cloud Platform is Splunk-hosted and holds Federal Risk and Authorization Management Program (FedRAMP) authorization at the Moderate and High impact levels, while Splunk Enterprise deploys on-premises, in a private cloud, or in hybrid environments. Teams search with Search Processing Language (SPL) or SPL2.

Pros

• Search: One reviewer reports that Splunk performs well in log aggregation and search.
• Dashboards and alerting: A reviewer praises powerful correlation searches, risk-based alerting, and highly customizable dashboards.
• Investigation speed: A reviewer says Enterprise Security makes investigation faster and detections more accurate.

Cons

• Licensing cost: Reviewers cite high licensing cost.
• Learning curve: Reviewers cite Splunk Enterprise’s many features and functions as a learning-curve issue.
• Performance: One reviewer lists resource consumption and large-dataset handling among drawbacks.

Pricing

Splunk Observability Cloud starts at $15 per host per month for infrastructure monitoring, $60 with APM, and $75 with real user and synthetic browser monitoring, all on annual billing. Splunk Cloud Platform pricing is quote-based and available under activity-based, ingest, or workload models. The 14-day Splunk Cloud Platform trial includes up to five GB per day of ingest.

Who Is Splunk Best For?

FedRAMP-bound enterprises and agencies that need security analytics over large machine-data volumes and can absorb Splunk’s licensing cost.

5. Grafana Cloud

Grafana Cloud is a managed observability platform for teams standardizing on open standards such as OpenTelemetry and Prometheus. Logs run on Grafana Loki, traces run on Grafana Tempo, and metrics live in Mimir, a Prometheus-compatible database. Loki groups log entries into streams and indexes them by label.

Pros

• Dashboards: Reviewers list data visualization and ease of use among the top strengths.
• Correlation: Grafana states that Cloud lets teams pivot between metrics, logs, and traces.
• Standards: Applications can send OpenTelemetry Protocol (OTLP) data directly to Grafana Cloud or through Grafana Alloy.

Cons

• Setup: Reviewers cite a learning curve and complex setup as cons.
• Cardinality costs: Grafana’s documentation describes every unique label combination as a billing unit, so high-cardinality labels raise metrics costs.
• Query speed: Loki’s documentation warns that high cardinality can degrade performance by building a large index and flushing many small chunks.

Pricing

Pro starts at $19 per month plus usage, with metrics from $6.50 per 1,000 active series and logs and traces from $0.05 per GB processed, $0.40 per GB written, and $0.10 per GB retained. The free tier includes 10,000 active series, 50 GB each of logs, traces, and profiles, and 14 days of retention.

Who Is Grafana Cloud Best For?

Prometheus users who want managed Loki, Mimir, and Tempo backends and can own metric-cardinality governance themselves.

6. Elastic Observability

Elastic Observability is an observability platform built on Elasticsearch’s search and analytics capabilities for teams with Elasticsearch expertise. Elasticsearch stores and indexes the telemetry. Elastic Cloud runs the product as Serverless projects or hosted deployments.

Pros

• Quick start: Reviewers find the interface easy to use and quick to set up.
• Single-query correlation: Elasticsearch Query Language (ES|QL) subqueries, in technical preview, reach across logs, metrics, and traces in one query.
• Dashboards: Elastic lists prebuilt dashboards among its tools for diagnosing issues.

Cons

• Training: Reviewers report a steep learning curve that requires extensive knowledge and training.
• Scaling: Scaling complexity can be a challenge, reviewers say.
• Pricing: A reviewer summary describes pricing as high and in need of more transparency.

Pricing

Elastic Cloud Serverless ingest starts at $0.07 per GB on Logs Essentials, and Complete charges from $0.09 per GB for logs and traces and $0.023 per GB for metrics. Hosted deployments start at $99 per month on the Standard tier. A single 14-day Elastic Cloud trial covers one hosted deployment and three Serverless projects.

Who Is Elastic Observability Best For?

Teams with Elasticsearch expertise that want observability built on Elasticsearch search and can absorb its training demands.

7. Splunk AppDynamics

Splunk AppDynamics is an APM product for enterprises needing transaction-level visibility into hybrid and three-tier applications. Under Cisco’s ownership, AppDynamics now carries the Splunk name. Deployment options include SaaS, self-hosted on-premises, and a Kubernetes-based Virtual Appliance.

Pros

• Transaction tracing: Splunk says AppDynamics can monitor every business transaction execution in an instrumented application.
• Business context: Business iQ relates application performance to the business data of the transactions it monitors.
• ITSM: Users value information technology service management (ITSM) integrations such as ServiceNow.

Cons

• Renewals: One reviewer cites high renewal costs and slower support and updates after Cisco’s acquisition of AppDynamics.
• Setup: Setup demands significant learning and complexity, reviewers say.
• Documentation: Reviewers describe the documentation as often insufficient.

Pricing

The Infrastructure edition starts at $6 per virtual CPU per month, Premium at $33 per host per month, and Enterprise at $50 per host per month, all on annual billing. Premium and Enterprise include log observability. Splunk offers a 30-day trial with no credit card required.

Who Is Splunk AppDynamics Best For?

Enterprises with hybrid and three-tier applications that need business transaction visibility and accept per-host or per-virtual-CPU licensing.

8. SigNoz

SigNoz is an open-source, OpenTelemetry-native platform for teams that want logs, metrics, and traces in one tool without vendor SDKs. Telemetry lands in a ClickHouse columnar datastore. Dashboards query it through Query Builder, PromQL, or ClickHouse SQL.

Pros

• Deployment choice: Teams can self-host SigNoz on Docker or Kubernetes, or run managed SigNoz Cloud.
• Single backend: All three signals live in one columnar database, so teams don’t run separate stores.
• Simple pricing: SigNoz Cloud bills by usage, with no per-host or per-user charges and no special pricing for custom metrics.

Cons

• Storage growth: SigNoz’s production-readiness guidance says high ingestion volume increases ClickHouse storage and slows queries.
• Component sizing: The same guidance asks teams to size each component for expected volume.

Pricing

SigNoz Cloud charges $0.30 per GB for logs and traces and $0.10 per million metric samples. The Teams plan starts at $49 per month including $49 of usage, and the 30-day free trial requires no credit card.

Who Is SigNoz Best For?

OpenTelemetry-native teams that want one open-source backend for all three signals and will either run ClickHouse themselves or pay SigNoz Cloud’s usage-based rates.

9. Honeycomb

Honeycomb is an event-based observability platform for engineering teams that debug production with high-cardinality queries and distributed tracing. The platform stores traces and logs as structured events, and metrics as time-series data points. BubbleUp compares a selected anomaly with its baseline and surfaces the biggest differences, including fields like userID.

Pros

• Querying: Some reviewers single out ease of searching and custom queries as strengths.
• Flat event cost: Honeycomb charges the same for each event, regardless of how many attributes it carries.
• Free entry: The Free plan includes BubbleUp, distributed tracing, and OTel support.

Cons

• Learning curve: Reviewers describe a steep learning curve tied to documentation that is hard to use.
• Reporting: Built-in reporting is limited, and reviewers say custom reports need external tools.
• Service Map: Service Map is part of the Honeycomb Enterprise plan.

Pricing

Pro starts at $150 per month for 50 million events and scales up to 750 million events per month. The Free plan covers 20 million events and 100 million metric data points per month with no expiry, and Enterprise plans start with a base allowance of 10 billion events per year.

Who Is Honeycomb Best For?

Microservice teams whose debugging depends on request-level, high-cardinality queries and who can reserve Service Map for the Enterprise plan.

10. Sumo Logic

Sumo Logic is a SaaS analytics platform for teams that want log management, infrastructure monitoring, and Cloud SIEM together. Its FedRAMP Moderate-authorized environment includes Cloud SIEM. Under Flex licensing, ingest is free, and scans, storage, metrics, and tracing consume credits. Cloud SIEM requires activation, subject to minimum volume and service requirements.

Pros

• Usability: Ease of use and log management rank among top reviewer pros.
• Search: Reviewers value the ease of searching and configuring logs, which they tie to monitoring and tracing efficiency.
• Cloud SIEM: The rules engine includes out-of-the-box detection rules.

Cons

• Performance: Reviewers report slow performance, delayed alerts, and interface limitations.
• Cost growth: Reviewers see Sumo Logic as expensive, and one warns that stray debug logging can inflate the bill.
• Query readability: One reviewer flags query language ease of use and log readability as weak spots.

Pricing

Enterprise Suite Flex lists at $1.50 per credit for a United States deployment on annual terms. Sumo Logic offers a 14-day agentic trial on preloaded example data. It also offers a 30-day AWS Marketplace trial on your own data, and only that trial converts to monthly usage-based billing.

Who Is Sumo Logic Best For?

Teams that want log analytics plus Cloud SIEM and accept scan-based billing.

How to Choose a Datadog Alternative

Choosing on headline price alone can leave the same retention and migration constraints, so test six factors against your workload, starting with the pricing unit and where retained data lives. Index-first pricing models charge for ingest and indexing, while in-stream pipelines decide routing before storage. Six factors separate the ten platforms:

• Compare pricing units: Per-host pricing grows with nodes, ingestion pricing with volume, per-user pricing with seats, and scan-based pricing with queries, so 90 days of your own usage shows where bills diverge.
• Decide who owns retained data: Data in a proprietary format makes a provider switch a migration project rather than a configuration change, while open formats in your own object storage keep your history queryable without retention limits.
• Weigh APM depth against breadth: Transaction-centric APM follows individual business transactions through the application, while full-stack platforms correlate logs, metrics, traces, and security events across signals.
• Count open-source operating costs: Self-hosting Prometheus or Loki can lower licensing costs, but your team takes on the operational overhead, including for Kubernetes monitoring.
• Test AI on a real incident: Replay a past outage on each finalist to see whether its AI features shorten mean time to repair (MTTR).
• Price security together or separately: A SIEM platform may ship as a core product, a paid add-on, or not at all.

Weighting these factors by what costs you most today narrows the ten platforms to the two or three worth a proof of concept.

Four more options sit outside the ten profiles above. IBM Instana bills per host each month and offers SaaS, pay-per-use, and self-hosted purchase options. Cortex XCOR, built on Chronosphere’s foundation and powered by Palo Alto Networks, uses a credit model that bills for processed and persisted data. Logz.io packages logs, metrics, traces, and Cloud SIEM under consumption or subscription plans. Better Stack covers uptime monitoring, logs, and incident management.

Choosing Among Datadog Competitors for Your Stack

Switching off Datadog is an architecture decision about where telemetry lives and who owns it. Self-managed storage takes more setup than a vendor-hosted platform, but it keeps your history portable. A platform that stores your telemetry in its own format can lower this year’s bill while keeping the same retention and migration constraints. Moving only current data also leaves years of history behind in the old vendor’s storage.

The platforms above bill by host, virtual CPU, gigabyte, event, active series, user, or credit, and each unit ties your bill to a different part of your estate. Retention adds a second cost on top of that unit and determines how much history an AI investigation can read. The pricing unit and the storage model belong in the same evaluation.

If you want full telemetry coverage without paying to index every log before you can search it, Coralogix is built for that. Your history stays queryable in your own bucket, and Olly, Coralogix’s autonomous observability agent, investigates against that archive. The data stays yours whether you stay or leave, which suits SRE and platform teams whose telemetry volume and retention needs keep growing.

Book a Coralogix demo to see how Coralogix would store and price your own telemetry compared with your current Datadog contract. You can also start the free 14-day Coralogix trial, which includes an eight-unit quota and needs no credit card.

Frequently Asked Questions About Datadog Competitors

Which is better, Splunk or Datadog?

The better choice depends on whether you prioritize security analytics for large data volumes or application and infrastructure monitoring. Datadog describes its platform as integrated monitoring and security, with products for infrastructure monitoring, APM, logs, and security. Splunk positions Enterprise Security as a unified platform for threat detection, investigation, and response for security operations.

Why are teams looking for Datadog alternatives?

Pricing is a common trigger, since Datadog costs can become unpredictable at high log volumes. Others standardize on OTel collection so that changing backends is a configuration change, or want ownership of their telemetry.

Is there a free alternative to Datadog?

Yes, several of them. Grafana Cloud, New Relic, and Honeycomb each offer a free tier or plan, and SigNoz is open source and can be self-hosted. Free tiers have usage caps, so test one against your real volume before you rely on it.

Which database does Datadog use?

Datadog stores event data in Husky, its third-generation event store, a columnar store that decouples storage and compute so each scales independently on commodity object storage. Teams can also configure a Datadog archive to forward ingested logs to their own cloud storage system.