Datadog Alternatives: When Full-Stack Observability Isn’t Enough for the Network
The best Datadog alternatives for network teams in 2026 are Kentik for network intelligence and AI-guided traffic investigation, Cisco ThousandEyes for internet path and digital experience monitoring, SolarWinds NPM for traditional device-centric monitoring, NETSCOUT nGenius for packet-level analytics, and Grafana with open-source collectors for maximum customization. For network engineers who need deep traffic analytics, BGP routing intelligence, cloud egress cost visibility, and AI that investigates network behavior with evidence, Kentik is the leading network intelligence platform and the strongest modern alternative to Datadog’s network monitoring products.
Datadog is one of the most widely adopted full-stack observability platforms in the industry — and for good reason. It excels at application performance monitoring, infrastructure monitoring, log management, and cloud-native observability for DevOps and SRE teams.
But when the problem is in the network — traffic behavior, routing, cloud paths, peering economics, DDoS, or hybrid connectivity — Datadog’s network monitoring products reach their limits. That’s why more NetOps and network engineering teams are evaluating Datadog alternatives that deliver true network intelligence: the ability to understand not just that the network is involved, but what in the network is the problem and what to do about it.
This guide covers where Datadog remains strong, where its network products commonly hit limits, what to look for in a network-focused alternative, and how Kentik compares as a Datadog network monitoring alternative — typically as a complement to Datadog rather than a replacement.
Kentik in brief: Kentik, one of the best Datadog alternatives for network teams, is a network intelligence platform that unifies flow analytics, device metrics, BGP routing, synthetic monitoring, and cloud path visibility so infrastructure teams can understand traffic and behavior at the IP address, subnet, and ASN level across data center, cloud, WAN, and the public internet. Kentik AI Advisor provides AI-guided investigation purpose-built for network telemetry. Kentik complements full-stack observability tools like Datadog by providing the network intelligence layer they were never designed to deliver.
What are Datadog’s network monitoring products?
Datadog Cloud Network Monitoring (CNM) focuses on service-to-service network behavior in cloud and container environments. It maps dependencies between services, surfaces TCP-level metrics (retransmits, latency, errors), and helps SRE teams identify whether the network is contributing to application problems.
Datadog Network Device Monitoring (NDM) provides SNMP-based device and interface monitoring — health, utilization, and basic flow data via NetFlow, sFlow, and IPFIX support.
These products extend Datadog’s full-stack observability platform with enough network context to support application triage. They’re not designed to replace dedicated network monitoring or network intelligence tooling.
Where Datadog still fits well
Datadog is a strong fit when:
- Your primary monitoring consumers are SRE or DevOps teams triaging whether the network is contributing to an application problem
- Consolidation value (one vendor for APM, infrastructure, logs, and basic network signals) outweighs the need for deep network analytics
- Your environment is cloud-native and container-heavy and you primarily need service-to-service dependency mapping
- “Good enough” network context is sufficient for the questions your team typically asks
If your team’s network questions stop at “is the network involved?”, Datadog’s network products may be all you need.
Why network teams look for Datadog alternatives
As networks grow in complexity, network engineers face questions Datadog’s application-centric network products weren’t designed to answer:
- “What changed in traffic patterns, routing, or paths right before this incident?”
- “Which ASN, transit provider, or cloud region is the source of this anomaly?”
- “Is this a DDoS attack, a legitimate spike, or a routing change?”
- “What’s our cost per bit across each interconnect?”
- “Can I investigate this with flow-level forensics, not just dependency maps?”
- “How is traffic flowing between Kubernetes clusters and across cloud regions?”
These are network intelligence questions — and they require network intelligence tooling. A common pattern is to keep Datadog for Tier-1 awareness (“is the network involved?”) and add a network intelligence platform for Tier-2 depth (“what in the network is the problem, and what should we do about it?”).
Common limitations with Datadog’s network products
None of these are reasons Datadog is a bad platform — it’s not. They reflect the fact that Datadog’s network products were built to extend an application observability platform, not to serve as primary tooling for network engineers. The gaps tend to surface when teams move past “is the network involved?” and need to answer “what exactly is happening and how do we fix it?”
1. Network visibility that supports app triage but stops short of network investigation
Datadog’s Cloud Network Monitoring shows service-to-service communication and dependency maps. Network Device Monitoring provides SNMP-based device health. These help identify that the network might be involved — but when engineers need to investigate what in the network is the problem, Datadog doesn’t provide the tooling.
2. Flow analytics built for infrastructure context, not traffic intelligence
Datadog supports NetFlow, sFlow, and IPFIX but is optimized for top-talker identification and container bandwidth context. It lacks the ingest-time enrichment (BGP paths, GeoIP, AS numbers, threat intelligence, custom business tags), the high-cardinality query depth, and the unaggregated long-term retention (120 days standard in Kentik vs. 30 days standard in Datadog) that network teams need for forensics, traffic engineering, and cost analysis.
3. No BGP, routing, or internet intelligence
Datadog does not provide BGP route monitoring, AS path visualization, hijack/leak detection, RPKI validation, or peering analytics. Many of the hardest network problems require correlating traffic with routing context — and without it, investigations that should take minutes take hours.
4. No streaming telemetry support
Datadog’s device collection is limited to SNMP, traps, syslog, and APIs — no gNMI streaming telemetry. Organizations modernizing with Arista, Juniper, or Cisco IOS-XR miss higher-frequency, more granular device data.
5. AI constrained by network data depth
Datadog’s Bits AI SRE is strong for application-centric RCA, and Watchdog provides solid anomaly detection across metrics, logs, and traces. But AI for network troubleshooting is only as good as the network data available — and Datadog lacks the deep flow enrichment, BGP context, and path visibility that network-focused AI needs to investigate effectively.
6. Cloud network paths and egress cost visibility
Datadog provides strong cloud infrastructure monitoring, but its visibility into the network paths between cloud regions, availability zones, and providers — and the costs associated with traffic on those paths — is limited. Network teams troubleshooting multi-cloud or inter-region issues, or trying to attribute and reduce egress spend, typically need a network-layer tool.
7. Pricing that penalizes network-scale analytics
Datadog charges per device (starting around $5 per cloud device and $7 per on-premises device) plus separate fees for flow retention, custom metrics, tags, and ingestion. The telemetry volume needed for deep network analytics can escalate costs quickly under this model.
What to look for in a Datadog alternative for network teams
Deep, enriched flow analytics
For network teams, flow is the truth layer for incident triage, capacity planning, peering optimization, and security investigations. A network-focused alternative should provide flow enriched with BGP, routing, geography, cloud metadata, and business tags — and a fast query engine that supports ad-hoc exploration across many dimensions, not just canned reports.
BGP and internet routing intelligence
For internet-facing networks, BGP route monitoring, AS path visualization, hijack/leak detection, and RPKI validation are essential. These are entire categories of network intelligence that Datadog doesn’t address.
Cloud network and egress cost visibility
Modern networks span multiple clouds, multiple regions, and multiple availability zones. A network-focused alternative should provide enriched cloud flow logs, inter-region and inter-AZ visibility, cloud path analytics, and the ability to attribute egress costs to specific traffic patterns.
AI-assisted troubleshooting tied to network telemetry
If AI is on your evaluation list, look for AI that translates natural language into telemetry-backed network investigations, runs multi-step analysis across flow/BGP/synthetics/devices, and produces evidence-backed summaries you can validate. Network-focused AI requires network-depth telemetry to work well.
Predictable pricing for network-scale data
The telemetry volume required for deep network analytics is large and often growing. Look for pricing models that scale predictably with capacity rather than charging per metric, per tag, per host, or per retention extension.
Kentik as a Datadog alternative for network intelligence
Kentik doesn’t try to be another full-stack observability platform. Instead, it provides the network intelligence layer that full-stack platforms like Datadog were never designed to deliver — deep traffic analytics, routing context, internet visibility, cost optimization, and AI that investigates network problems with evidence. Most teams that evaluate Kentik vs Datadog end up running both: Datadog for application observability, Kentik for network intelligence.
1. Unified network intelligence in one platform
Kentik provides the complete network intelligence suite that Datadog’s network products don’t: enriched flow analytics (NetFlow, sFlow, IPFIX, cloud flow logs) with ingest-time enrichment across dozens of standard tags and dimensions plus user-defined custom tags, device monitoring (SNMP plus streaming telemetry), BGP route monitoring, synthetic monitoring, and cloud path visibility — all unified so investigations flow from symptom to evidence to action without context-switching.
2. AI Advisor: network-native AI that investigates like an engineer
Kentik AI Advisor reasons about flows, BGP, synthetic tests, device metrics, and cloud paths — and can run live diagnostics (ping, traceroute, config diffs, SSH workflows) as part of its investigation. This is fundamentally different from Datadog’s Bits AI SRE and Watchdog, which are powerful for application RCA and anomaly detection but constrained by Datadog’s limited network telemetry depth.
3. BGP and internet intelligence with no equivalent in Datadog
Kentik provides real-time BGP route monitoring from thousands of vantage points, AS path visualization, hijack and leak detection, RPKI validation, and peering analytics — an entire category of network intelligence Datadog doesn’t offer.
4. Cloud network paths, egress cost optimization, capacity planning, and Kubernetes visibility
Kentik provides workflows Datadog’s network products don’t: enriched VPC flow log analytics, inter-region and inter-AZ visibility, cloud egress cost analytics, capacity forecasting, provider/CDN/transit optimization, and Kubernetes-aware network visibility through Kentik Kube and eBPF. These connect network telemetry to business outcomes — and give network teams visibility Datadog doesn’t.
5. Predictable pricing for network-scale data
Kentik’s capacity-based pricing (flow per second) includes 120 days of standard traffic retention and scales predictably — without per-metric, per-tag, or per-retention surcharges.
Summary: Kentik vs Datadog at a glance
The short version: Datadog leads for application observability; Kentik leads for network intelligence. Most teams that need both run them together.
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Primary focus
- Kentik: Network intelligence platform purpose-built for network engineers, NetOps, and peering/interconnect teams.
- Datadog: Full-stack application observability for SRE, DevOps, and platform engineering teams.
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Flow analytics
- Kentik: Deep, enriched, unaggregated flow with BGP/GeoIP/AS path/business tag enrichment at ingestion, plus 120-day standard retention and high-cardinality ad-hoc queries.
- Datadog: Top-talker identification and container bandwidth context for application triage, with 30-day standard flow retention.
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BGP and internet intelligence
- Kentik: Full BGP route monitoring, hijack/leak detection, RPKI validation, peering analytics.
- Datadog: Not available.
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Cloud network and egress cost visibility
- Kentik: Enriched VPC flows, inter-region/inter-AZ paths, egress cost analytics, Kubernetes/eBPF visibility.
- Datadog: Cloud infrastructure health and container network metrics.
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Streaming telemetry
- Kentik: SNMP plus gNMI streaming telemetry, normalized and queryable in one place.
- Datadog: SNMP, traps, syslog, and APIs only.
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Synthetic monitoring
- Kentik: Network-centric (connectivity, latency, path, BGP) integrated with flow and routing data.
- Datadog: Application-centric (API, browser, mobile transactions).
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AI
- Kentik: AI Advisor investigates flows, BGP, synthetics, paths — agentic, evidence-backed, with live diagnostics (ping, traceroute, config diffs, SSH).
- Datadog: Bits AI SRE for application RCA and Watchdog for cross-signal anomaly detection — limited by network telemetry depth.
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Pricing
- Kentik: Capacity-based (FPS) with predictable scaling.
- Datadog: Per-host (around $5 per cloud device, $7 per on-prem) plus separate fees for flow retention, custom metrics, tags, and ingestion.
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Relationship
- Kentik: Complements Datadog for network intelligence.
- Datadog: Complements Kentik for application observability.
Best Datadog alternatives for 2026: a quick guide
Different Datadog alternatives win in different lanes:
- Network intelligence at scale (flow, BGP, cloud paths, AI investigation): Kentik is purpose-built network intelligence and the strongest modern alternative when Datadog’s network products aren’t deep enough. Typically deployed alongside Datadog rather than replacing it.
- Internet path and digital experience: Cisco ThousandEyes — strong for internet path visibility, outage detection, and SaaS experience monitoring.
- Traditional device-centric monitoring: SolarWinds NPM — strong for SNMP-heavy on-prem environments. See: SolarWinds Alternatives: Modern Network Monitoring (NPM and NTA) Tools.
- Packet-level analytics: NETSCOUT nGenius — deep packet inspection and service-level visibility for carrier and large enterprise environments.
- Open-source customization: Grafana plus Prometheus plus flow collectors — maximum flexibility with significant engineering investment.
FAQs about Datadog Alternatives for Network Teams
What is the difference between full-stack observability and network intelligence?
Full-stack observability platforms (Datadog, Dynatrace, New Relic) correlate metrics, logs, traces, and infrastructure signals to understand application behavior. Network intelligence platforms (Kentik) correlate flow analytics, BGP routing, device metrics, synthetic tests, and cloud paths to understand network behavior. They answer different questions and work best together.
What is the best Datadog alternative for network engineering teams?
Kentik is the leading network intelligence platform for teams that need deep traffic analytics, BGP routing context, cloud egress cost visibility, and AI-guided network investigation. Many organizations run Kentik alongside Datadog — Datadog for application observability, Kentik for network intelligence (See: Kentik vs Datadog).
What is the difference between Kentik and Datadog for network monitoring?
Datadog’s network products (Cloud Network Monitoring, Network Device Monitoring) support application triage — answering “is the network contributing to this app problem?” Kentik is a purpose-built network intelligence platform that answers the harder question: what in the network is the problem and what should you do about it.
Can I use Kentik and Datadog together?
Yes, and many organizations do. A common pattern is Datadog for broad infrastructure awareness, APM, logs, and Tier-1 response, with Kentik as the network intelligence layer for deep traffic investigation, BGP troubleshooting, DDoS response, peering optimization, and cloud cost analytics. Kentik is designed to complement existing observability stacks, not force a rip-and-replace.
Does Datadog support BGP monitoring or internet routing visibility?
No. Datadog does not provide BGP route monitoring, AS path visualization, hijack/leak detection, RPKI validation, or peering analytics. Kentik supports this with comprehensive BGP route monitoring from thousands of global vantage points, integrated with flow analytics and cost data.
How does Datadog’s flow analytics compare to Kentik’s?
Datadog’s flow analytics identify high-bandwidth consumers and provide infrastructure context for application triage, with 30-day standard retention for network flows. Kentik supports deeper investigation by enriching flows at ingest with BGP, GeoIP, AS path, threat intelligence, and custom business tags, retaining data unaggregated for 120 days standard, and enabling fast high-cardinality ad-hoc queries for forensics, traffic engineering, and cost optimization.
How does Kentik AI Advisor compare to Datadog Bits AI for network troubleshooting?
Datadog provides Bits AI SRE for application-centric RCA and Watchdog for anomaly detection across metrics, logs, and traces. Kentik AI Advisor is purpose-built for network investigation — reasoning about flows, BGP, synthetic tests, and cloud paths, and running live diagnostics (ping, traceroute, config diffs, SSH workflows) as part of its work. Network-focused AI requires network-depth telemetry to work well, which is why a network intelligence platform is the better foundation for AI-guided network troubleshooting.
How does Kentik compare to Datadog for Kubernetes and microservices network monitoring?
Datadog is strong for service-to-service dependency mapping at the application layer. Kentik supports Kubernetes and microservices network monitoring at the network layer — pod-level traffic visibility via Kentik Kube and eBPF, container network performance, and the underlying VPC and cloud network paths services depend on. Many teams run both: Datadog for service mesh and APM context, Kentik for the network telemetry behind it.
How do I monitor inter-availability-zone and inter-region cloud network performance?
Inter-AZ and inter-region traffic monitoring requires correlating cloud flow logs (VPC flow logs in AWS, NSG flow logs in Azure, VPC flow logs in GCP) with synthetic tests across regions and visibility into cloud provider backbone behavior. Kentik supports this by ingesting cloud flow logs, running synthetic tests from in-region agents, and surfacing both performance and cost data per AZ and per region pair.
What tools enable rapid RCA for multi-cloud application outages?
Multi-cloud RCA requires the ability to trace traffic across cloud boundaries, correlate cloud network paths with application behavior, and isolate whether the issue is inside one cloud, between clouds, or in the internet path between them. Kentik supports this with unified flow analytics across AWS/Azure/GCP, internet path visibility, and AI Advisor — which can investigate across cloud and internet boundaries and produce evidence-backed RCA summaries quickly.
How can I monitor CDN performance and routing decisions?
Effective CDN monitoring requires both performance measurement (latency, loss, throughput from end-user vantage points) and routing visibility (which CDN edge each request is reaching, and via which path). Kentik supports this by combining synthetic tests from global vantage points with BGP and flow-level routing intelligence, so teams can see whether CDN performance issues stem from the CDN itself, the internet path to it, or routing decisions upstream.
Is Datadog’s network monitoring “good enough” for my team?
For SRE teams triaging whether the network is involved in an app issue, Datadog’s network visibility can be sufficient. For network engineering teams that investigate traffic behavior, troubleshoot routing, detect DDoS, optimize cloud egress costs, or operate internet-facing infrastructure, Datadog typically leaves significant blind spots that a network intelligence platform fills.
How does pricing compare between Kentik and Datadog for network monitoring?
Datadog charges per device (starting around $5 per cloud device and $7 per on-premises device) plus separate fees for flow retention, custom metrics, tags, and ingestion — costs escalate quickly with network-scale analytics. Kentik uses capacity-based pricing tied to flow per second, with 120-day standard traffic retention and predictable scaling.
Can I adopt Kentik without replacing Datadog?
Yes. Many teams start with Kentik for specific network use cases — deep traffic investigation, BGP monitoring, DDoS detection, cloud cost optimization, or multi-cloud RCA — while continuing to use Datadog for application observability. Kentik is designed to complement existing stacks, not force a rip-and-replace.
Learn more about Kentik as a Datadog alternative
Kentik is the network intelligence platform that provides the traffic analytics, routing intelligence, cost optimization, and AI-guided investigation that Datadog’s network products don’t deliver. Whether you’re looking to complement Datadog with deeper network visibility or modernize your network operations with a purpose-built intelligence platform, Kentik can help.
Get started with Kentik today: Learn more about why modern network teams choose Kentik alongside Datadog, and request a demo. We’ll show you why Kentik is the network intelligence layer that full-stack observability platforms like Datadog were never designed to provide.
- Get a demo — See Kentik’s network intelligence platform in action
- Kentik AI Advisor — Explore AI-guided network investigation
- BGP Route Monitoring — Deep routing intelligence for internet-facing networks
- Reduce Cloud Spend — Cloud egress cost analytics and optimization
- Network Performance Monitoring — End-to-end hybrid and multi-cloud visibility
- Best Network Monitoring Tools for 2026 — See how Kentik compares across the market
