Pongo vs marqo Comparison in 2024

Pongo

Pongo's semantic filter can reduce LLM hallucinations for RAG workflows by 80% with just 1 line of code.

marqo

Marqo is more than a vector database, it's an end-to-end vector search engine. Vector generation, storage and retrieval are handled out of the box through a single API. No need to bring your own embeddings.

Pongo

Launched	2022-02
Pricing Model	Freemium
Starting Price	$60 / mo
Tech used
Tag	Semantic Search

marqo

Launched	2022-07-24
Pricing Model	Freemium
Starting Price
Tech used	Google Analytics,Google Tag Manager,Webflow,Amazon AWS CloudFront,cdnjs,Google Fonts,jQuery,Gzip,OpenGraph,Amazon AWS S3
Tag	Vector Database

Pongo Rank/Visit

Global Rank	4935712
Country	Italy
Month Visit	11105

Top 5 Countries

19.52%

14.29%

14.24%

9.88%

8.61%

United States Mexico India Netherlands Australia

Traffic Sources

71.42%

27.56%

1.02%

Direct Social Search

marqo Rank/Visit

Global Rank	1113415
Country	India
Month Visit	41493

Top 5 Countries

12.48%

5.86%

4.32%

4.1%

3.35%

United States Australia El Salvador Nicaragua Indonesia

Traffic Sources

52.13%

25.19%

18.89%

3.64%

0.16%

Direct Search Referrals Social Mail

What are some alternatives?

When comparing Pongo and marqo, you can also consider the following products

Gloo - Revolutionize your data search, citation, and analysis with Gloo. Get accurate and trustworthy information using semantic search and AI-powered API.

Squirro - Empower your enterprise decision-making with SquirroGPT's generative AI, enabling smarter decisions, evidence-based answers, and enterprise-grade security.

Cognita - RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

PonderAi - Boost productivity and efficiency with PonderAi! Get instant knowledge, automate tasks, and access reliable data feeds for streamlined workflows.

MixPeek - Mixpeek prepares your S3 bucket for generative AI. Documents, images, audio and even video, we do it all. Sync once and never think about data preparation again.