Software Alternatives & Reviews

Vespa.ai VS ArangoDB

Compare Vespa.ai VS ArangoDB and see what are their differences

Vespa.ai logo Vespa.ai

Store, search, rank and organize big data

ArangoDB logo ArangoDB

A distributed open-source database with a flexible data model for documents, graphs, and key-values.
  • Vespa.ai Landing page
    Landing page //
    2023-05-13
  • ArangoDB Landing page
    Landing page //
    2023-01-20

Vespa.ai features and specs

No features have been listed yet.

ArangoDB features and specs

  • Graph DB: Yes

Vespa.ai videos

No Vespa.ai videos yet. You could help us improve this page by suggesting one.

+ Add video

ArangoDB videos

ArangoDB and Foxx Framework, deeper dive. WHILT#17

Category Popularity

0-100% (relative to Vespa.ai and ArangoDB)
Search Engine
100 100%
0% 0
Databases
9 9%
91% 91
Custom Search Engine
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

Share your experience with using Vespa.ai and ArangoDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Vespa.ai and ArangoDB

Vespa.ai Reviews

We have no reviews of Vespa.ai yet.
Be the first one to post

ArangoDB Reviews

9 Best MongoDB alternatives in 2019
ArangoDB is a native multi-model DBMS system. It supports three data models with one database core and a unified query language AQL. Its query language is declarative which helps you to compare different data access patterns by using a single query.
Source: www.guru99.com
Top 15 Free Graph Databases
ArangoDB is a distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions. ArangoDB
ArangoDB vs Neo4j - What you can't do with Neo4j
Scalability needs and ArangoDB ArangoDB is cluster ready for graphs, documents and key/values. ArangoDB is suitable for e.g. recommendation engines, personalization, Knowledge Graphs or other graph-related use cases. ArangoDB provides special features for scale-up (Vertex-centric indices) and scale-out (SmartGraphs).

Social recommendations and mentions

Based on our record, Vespa.ai should be more popular than ArangoDB. It has been mentiond 19 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Vespa.ai mentions (19)

  • Code Search Is Hard
    If you're serious about scaling up, definitely consider Vespa (https://vespa.ai). At serious scale, Vespa will likely knock all the other options out of the park. - Source: Hacker News / 20 days ago
  • Simple Precision Time Protocol at Meta
    Yahoo released their geographic data catalogue under open license and it still lives on as https://whosonfirst.org/ Afaik https://en.wikipedia.org/wiki/Apache_ZooKeeper started at Yahoo https://vespa.ai/ was Yahoo's search engine for news and other content product, now spinned off (https://techcrunch.com/2023/10/04/yahoo-spins-out-vespa-its-search-tech-into-an-independent-company/). - Source: Hacker News / 3 months ago
  • Are we at peak vector database?
    I think https://vespa.ai/ has the right approach in this space by focusing on being hybrid - vectors alone aren't great for production use cases, it's the combining of vectors+text that lets you use ranking to get meaningful result. (I'm an investor so I'm biased; but it's also the reason why I invested). - Source: Hacker News / 3 months ago
  • Show HN: RAGatouille, a simple lib to use&train top retrieval models in RAG apps
    So what’s the catch? Why is this not everywhere? Because IR is not quite NLP — it hasn’t gone fully mainstream, and a lot of the IR frameworks are, quite frankly, a bit of a pain to work with in-production. Some solid efforts to bridge the gap like Vespa [1] are gathering steam, but it’s not quite there. [1] https://vespa.ai. - Source: Hacker News / 4 months ago
  • Creating an advanced search engine with PostgreSQL
    When it comes to search I cannot disagree more. https://vespa.ai is a purpose built search engine. If you start bolting search onto your database, your relevance will be terrible, you'll be rewriting a lot of table stakes tools/features from scratch, and your technical debt will skyrocket. - Source: Hacker News / 10 months ago
View more

ArangoDB mentions (3)

What are some alternatives?

When comparing Vespa.ai and ArangoDB, you can also consider the following products

Typesense - Typo tolerant, delightfully simple, open source search 🔍

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Meilisearch - Ultra relevant, instant, and typo-tolerant full-text search API

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.