
Langfuse
Helicone AI
Portkey
LangChain
Braintrust
Braintrust.dev
Comet.com
Build and deploy LLM applications with confidence

Triple Whale
Elevar
Littledata
Analyzify
Stape.io
Server-side tracking and identity resolution for Shopify brands.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | langchain.com | upstackdata.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2023 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of LangSmith yet.
Upstack Data is the #1 Most Reliable Ad Tracking Software For Shopify. We help ecommerce brands identify, enrich, and activate first-party data to lower acquisition costs and drive advertising results. Our server-side tracking captures 99.9% of conversion events and delivers a 90%+ event match...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
LangSmith is recommended for AI developers, machine learning engineers, and businesses aiming to build, test, and optimize applications based on language models. It is particularly useful for teams that require robust evaluation tools and a streamlined process for managing and deploying language-driven applications.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
🦜🛠️ Getting started with LangSmith - Integrating with LANGCHAIN powered Web Applications & Chatbots
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing LangSmith and Upstack Data.
Upstack Data's answer:
Upstack Data works with DTC Shopify brands including Perfect White Tee, Maelove, Labucq, Printfresh, Champo, Paire, Montreal Weights, and Aquarium Co-op.
Upstack Data's answer:
Upstack Data was founded by Michael Alt to solve a problem hurting Shopify brands: browser-based tracking quietly loses data to iOS restrictions, ad blockers, and cookie expiration, leaving ad platforms optimizing on incomplete information. By capturing conversion events server-side and resolving visitor identity across devices, Upstack Data gives Meta, Google, and Klaviyo the data they need to optimize for buyers, not browsers — helping brands drive 7- and 8-figure growth and recover millions in revenue.
Upstack Data's answer:
Upstack Data is built on server-side event capture through the Conversion API (CAPI), a cross-device identity resolution engine (Upstack ID), a multi-touch attribution model, and native Klaviyo integration for abandonment recovery.
Upstack Data's answer:
DTC Shopify brands running Meta, Google, and TikTok ads — typically those spending $50K–$5M per month on advertising who want to reduce the data loss caused by iOS restrictions, ad blockers, and cookie expiration.
Upstack Data's answer:
Most tools track anonymous actions. Upstack Data resolves the actual identity of visitors across browsers, devices, and sessions, then sends that enriched data to Meta, Google, and Klaviyo in a form they can act on — driving lower CAC, better attribution, and more recovered revenue. The result is a 90%+ Meta CAPI match rate, versus the ~35% typical of standard implementations.
Upstack Data's answer:
Upstack Data replaces a multi-tool stack — like Elevar plus Triple Whale — with a single server-side tracking and identity resolution platform, at a fraction of the cost. Setup takes about 30 minutes with no developer required, and every plan comes with a 10-day free trial and a 60-day money-back guarantee.
Share your experience with using LangSmith and Upstack Data. For example, how are they different and which one is better?
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