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InfluxDB vs Traceloop

InfluxDB logo

InfluxDB

Logging

Purpose-built time series database for metrics and events

From
Free
Rated
-
Traceloop logo

Traceloop

Logging

LLM reliability platform with open-source observability and evaluation

From
Free
Rated
-

The short version

  • Each has a real cost: InfluxDB high-cardinality data causes memory pressure and performance degradation; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
  • They diverge on capability: InfluxDB covers Time-series Storage, Traceloop covers Open-source SDK (OpenLLMetry).

Where they differ

Only the attributes on which InfluxDB and Traceloop actually diverge.

Attributes where InfluxDB and Traceloop differ
AttributeInfluxDBTraceloop
Pricing modelUnknownFreemium with pay-as-you-go enterprise option
PlatformsCloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, AzureCloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby
Founded2012Unknown

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Logging).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in InfluxDB

  • Time-series Storage
  • Flux Query Language
  • High Write Throughput
  • Data Compression
  • Retention Policies
  • Continuous Queries
  • Built-in Dashboards
  • Telegraf

Only in Traceloop

  • Open-source SDK (OpenLLMetry)
  • Multi-provider support
  • Observability platform integration
  • Framework support
  • Monitoring dashboard
  • Evaluation system
  • Deployment flexibility

What people use each for

The jobs each tool is most often brought in to do.

InfluxDB

  • Monitoringnot Traceloop
  • IoT datanot Traceloop
  • Financial datanot Traceloop
  • Log analyticsnot Traceloop
  • Observabilitynot Traceloop

Traceloop

  • Monitoring LLM application performance in productionnot InfluxDB
  • Instrumenting LLM apps with minimal code overheadnot InfluxDB
  • Continuous evaluation and quality scoring of LLM outputsnot InfluxDB
  • Debugging LLM application issues with full trace visibilitynot InfluxDB
  • Integrating observability data into existing monitoring stacksnot InfluxDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

InfluxDB

  • High-cardinality data causes memory pressure and performance degradation
  • No support for joins or transactions like relational databases
  • Queries limited to 72-hour window in InfluxDB 3 OSS Core
  • Clustering and authentication features absent from community version

Traceloop

  • Free tier limited to 50k spans per month and 24-hour retention, restricting production use
  • Company acquisition by ServiceNow creates uncertainty about future roadmap
  • Requires integration with separate observability platforms for visualization
  • Less feature-rich than dedicated LLM evaluation platforms

Pricing, plan by plan

InfluxDB

Free
  • Cloud Serverless FreeFree
    • 5 MB writes per 5 minutes
    • 300 MB queries per 5 minutes
    • 30 day retention
  • Cloud Serverless Usage-Based$undefined/mo
    • 0.0025 USD per MB ingested
    • 0.012 USD per 100 queries
    • 0.002 USD per GB-hour storage

Traceloop

Free
  • FreeFree
    • 50,000 spans per month
    • Up to 5 seats
    • 24-hour data retention
  • Enterprise$undefined/custom
    • Unlimited spans per month
    • Unlimited seats
    • Custom data retention

Which should you pick?

Choose InfluxDB if

  • You need time-series storage.
  • You want to start without paying.
  • You work on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure.
  • You also want flux query language.

Choose Traceloop if

  • You need open-source sdk (openllmetry).
  • You want to start without paying.
  • You work on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
  • You also want multi-provider support.

Questions people ask

Is InfluxDB or Traceloop better?
Neither clearly leads. InfluxDB starts at Free and Traceloop at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, InfluxDB or Traceloop?
InfluxDB starts at Free and Traceloop at Free.
Does InfluxDB or Traceloop run on more platforms?
InfluxDB runs on Cloud, Docker, Linux, macOS, Windows, AWS, Google Cloud, Azure. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
Can I use InfluxDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is InfluxDB best used for?
InfluxDB is most often used for monitoring, iot data, financial data, log analytics. Of those, monitoring and iot data are not what Traceloop is typically brought in for.
What can InfluxDB do that Traceloop cannot?
InfluxDB covers Time-series Storage, Flux Query Language, High Write Throughput, Data Compression. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.

Answered from the vendors’ own pages

InfluxDB: Is there a free tier and what are the limits?

InfluxDB 3 Core OSS is free forever for local development and prototyping. Cloud Serverless free tier includes 5 MB writes per 5 minutes, 300 MB queries per 5 minutes, 30 day retention, and 2 databases.

Source
Traceloop: Is OpenLLMetry open-source?

Yes, OpenLLMetry is Traceloop's open-source SDK built on OpenTelemetry standards. It allows teams to instrument LLM applications with just 2 lines of code and send data to 25+ observability platforms.

Source
InfluxDB: Can I self-host InfluxDB?

Yes, InfluxDB 3 Core is fully open source and can be self-hosted with no license required. InfluxDB 3 Enterprise is self-managed and includes a 30-day free trial.

Source
Traceloop: What is the impact of ServiceNow acquisition?

Traceloop is joining ServiceNow, representing a strategic acquisition that will broaden enterprise adoption and integration capabilities. Current operations continue with free and enterprise options available.

Source
InfluxDB: What are the series cardinality limitations?

InfluxDB is sensitive to high-cardinality data. High cardinality increases RAM usage and can trigger out-of-memory errors, making it unsuitable for some workloads with many unique tag combinations.

Source
Traceloop: How many LLM providers and frameworks does Traceloop support?

Traceloop supports 20+ LLM providers including OpenAI and Anthropic, and integrates with frameworks like LangChain and LlamaIndex. It can send data to 25+ observability platforms.

Source
InfluxDB: Does InfluxDB support SQL queries?

InfluxDB has limited SQL support. Full SQL is available in InfluxDB 3, but earlier versions support only specific SQL commands and use InfluxQL as the primary query language.

Source
InfluxDB: Can I export my data from InfluxDB?

Yes, data can be exported from InfluxDB using query results. However, the process and supported formats depend on the version and deployment type you are using.

Source
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