LMCache VS Langbase

Let’s have a side-by-side comparison of LMCache vs Langbase to find out which one is better. This software comparison between LMCache and Langbase is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether LMCache or Langbase fits your business.

LMCache

LMCache
LMCache is an open-source Knowledge Delivery Network (KDN) that accelerates LLM applications by optimizing data storage and retrieval.

Langbase

Langbase
Langbase, a revolutionary AI platform with composable infrastructure. Offers speed, flexibility, and accessibility. Deploy in minutes. Supports multiple LLMs. Ideal for devs. Cost savings. Versatile use cases. Empowers in AI evolution.

LMCache

Launched 2024-10
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Tag Manager,cdnjs,Cloudflare CDN,Fastly,Google Fonts,GitHub Pages,Gzip,HTTP/3,Varnish
Tag

Langbase

Launched 2013-11
Pricing Model Freemium
Starting Price $20 USD Billed monthly
Tech used Microsoft Clarity,Cloudflare CDN,Next.js,Vercel,Gzip,OpenGraph,Progressive Web App,Webpack,HSTS
Tag Developer Tools,Data Analysis

LMCache Rank/Visit

Global Rank 3093185
Country United States
Month Visit 5078

Top 5 Countries

63.64%
20.99%
8.23%
7.13%
United States Korea, Republic of Japan United Kingdom

Traffic Sources

7.63%
0.57%
0.02%
5.14%
20.18%
66.46%
social paidReferrals mail referrals search direct

Langbase Rank/Visit

Global Rank 850365
Country Pakistan
Month Visit 29009

Top 5 Countries

18.06%
15.1%
14.99%
6.98%
6.93%
Pakistan United States India Vietnam Zimbabwe

Traffic Sources

6.38%
0.78%
0.08%
16.59%
36.23%
39.88%
social paidReferrals mail referrals search direct

What are some alternatives?

When comparing LMCache and Langbase, you can also consider the following products

GPTCache - ChatGPT and various large language models (LLMs) boast incredible versatility, enabling the development of a wide range of applications.

LazyLLM - Easyest and lazyest way for building multi-agent LLMs applications.

vLLM - A high-throughput and memory-efficient inference and serving engine for LLMs

Mem0 - Give your AI memory. Mem0 adds intelligent memory to LLM apps, enabling personalization, context, and up to 90% cost savings. Build smarter AI.

LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

More Alternatives