Databases · head to head
Timeplus vs Traceloop

Timeplus
Databases
Streaming SQL engine built on ClickHouse internals, shipping as one small binary
- From
- Free
- Rated
- -

Traceloop
Logging
LLM reliability platform with open-source observability and evaluation
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Timeplus proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.; Traceloop free tier limited to 50k spans per month and 24-hour retention, restricting production use
- They diverge on capability: Timeplus covers Streaming SQL, Traceloop covers Open-source SDK (OpenLLMetry).
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Timeplus and Traceloop actually diverge.
| Attribute | Timeplus | Traceloop |
|---|---|---|
| Pricing model | Per month for cloud, quoted for self-hosted | Freemium with pay-as-you-go enterprise option |
| Platforms | Linux, macOS, Docker, Kubernetes, Web | Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby |
| Category | Databases | Logging |
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Timeplus
- Streaming SQL
- Unified streaming and historical
- ClickHouse-based engine
- Single binary deployment
- External streams
- Materialised views
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.
Timeplus
- Real-time alerting on Kafka topics where standing up a Flink cluster is more work than the use case justifiesnot Traceloop
- Fraud or anomaly detection that must join a live event stream against recent history in one querynot Traceloop
- Streaming ETL from Kafka or MySQL change data capture into ClickHouse without writing Javanot Traceloop
- A small data team that needs continuous aggregation but has no platform engineers to operate JVM infrastructurenot Traceloop
Traceloop
- Monitoring LLM application performance in productionnot Timeplus
- Instrumenting LLM apps with minimal code overheadnot Timeplus
- Continuous evaluation and quality scoring of LLM outputsnot Timeplus
- Debugging LLM application issues with full trace visibilitynot Timeplus
- Integrating observability data into existing monitoring stacksnot Timeplus
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Timeplus
- Proton, the free version, is single-node by design, so any requirement for high availability or horizontal scale forces the commercial licence; the open source edition is a trial in practical terms.
- It is a young project against Apache Flink’s decade of production history, so the hiring pool, the connector library and the body of known failure modes are all much smaller.
- Inheriting ClickHouse internals also inherits ClickHouse constraints: memory-hungry queries, awkward updates and a SQL dialect that is not portable to other engines.
- Exactly-once semantics and state recovery guarantees are less battle-tested than Flink checkpointing, which matters if the pipeline moves money.
- Cloud pricing is by provisioned instance size rather than usage, so a bursty workload pays for peak capacity around the clock or has to be resized by hand.
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
Timeplus
Free- Timeplus ProtonFree
- Apache 2.0 licence
- Single node only
- Full streaming SQL engine
- Timeplus Cloud$199/month
- One to thirty-two CPUs
- 4 GB to 128 GB memory
- From 250 GB SSD storage
- Self-hosted or BYOC$undefined/year
- Multi-node clustering
- Kubernetes or bare metal
- Customisable compute and 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 Timeplus if
- You need streaming sql.
- You want to start without paying.
- You work on Linux, macOS, Docker, Kubernetes, Web.
- You also want unified streaming and historical.
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 Timeplus or Traceloop better?
- Neither clearly leads. Timeplus 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, Timeplus or Traceloop?
- Timeplus starts at Free and Traceloop at Free.
- Does Timeplus or Traceloop run on more platforms?
- Timeplus runs on Linux, macOS, Docker, Kubernetes, Web. Traceloop runs on Cloud, On-premises, Air-gapped, Python, TypeScript, Go, Ruby.
- Can I use Timeplus for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Timeplus best used for?
- Timeplus is most often used for real-time alerting on kafka topics where standing up a flink cluster is more work than the use case justifies, fraud or anomaly detection that must join a live event stream against recent history in one query, streaming etl from kafka or mysql change data capture into clickhouse without writing java, a small data team that needs continuous aggregation but has no platform engineers to operate jvm infrastructure. Of those, real-time alerting on kafka topics where standing up a flink cluster is more work than the use case justifies and fraud or anomaly detection that must join a live event stream against recent history in one query are not what Traceloop is typically brought in for.
- What can Timeplus do that Traceloop cannot?
- Timeplus covers Streaming SQL, Unified streaming and historical, ClickHouse-based engine, Single binary deployment. Traceloop covers Open-source SDK (OpenLLMetry), Multi-provider support, Observability platform integration, Framework support.
Answered from the vendors’ own pages
Timeplus: Is Timeplus open source?
The core engine, Timeplus Proton, is Apache 2.0. Timeplus Enterprise and Cloud are commercial.
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.
SourceTimeplus: What is the difference from Flink?
Timeplus is one binary with SQL as the only interface; Flink is a JVM cluster with a Java and SQL API and far more operational surface.
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.
SourceTimeplus: Can Proton run in production?
It can, but it is single-node only, so there is no high availability without the commercial edition.
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.
SourceTimeplus: How much is the cloud?
From 199 US dollars a month, sized by CPU and memory, with a fourteen day trial.
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- Traceloop vs Apache Druid
- Traceloop vs New Relic
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- Traceloop vs Rootly
- Traceloop vs FireHydrant
- Traceloop vs incident.io
- Traceloop vs ELK Stack
- Traceloop vs Fluentd
- Traceloop vs Graylog
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- Traceloop vs Logz.io
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