Software Alternatives, Accelerators & Startups
Register | Login

Vespa.ai VS RediSearch

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

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Vespa.ai logo Vespa.ai

Store, search, rank and organize big data

RediSearch logo RediSearch

RediSearch is a an open-source Full-Text and Secondary Index engine over Redis, developed by Redis...
  • Vespa.ai Landing page
    Landing page //
    2023-05-13
  • RediSearch Landing page
    Landing page //
    2023-03-31

Vespa.ai features and specs

  • Scalability
    Vespa.ai can handle large-scale data processing and real-time analytics, making it suitable for enterprises with vast data sets and high performance requirements.
  • Flexibility
    Offers the ability to deploy applications on various infrastructures whether on-premises, in the cloud, or in hybrid environments, which enhances deployment flexibility.
  • Real-time Data Processing
    Designed to facilitate real-time data ingestion and querying, which supports applications that require fast data retrieval and processing.
  • Open Source
    Being open-source allows developers to customize and contribute to the platform, fostering community engagement and innovation.
  • Advanced Search Capabilities
    Provides a strong search engine that supports natural language processing and complex query handling, which enhances user interactions and data retrieval.

Possible disadvantages of Vespa.ai

  • Complexity
    The platform might have a steep learning curve for beginners due to its advanced features and wide range of capabilities, which can increase the onboarding time.
  • Resource Intensive
    Operating and maintaining the system can be resource-intensive, requiring significant computational resources, which might not be viable for small businesses.
  • Limited Community Support
    Although open-source, the community around Vespa.ai is not as large as some other platforms, potentially leading to slower times in community-driven support and updates.
  • Niche Use Cases
    It is specifically tailored for applications that need large-scale data processing and fast search capabilities, which might be more than necessary for simpler projects.
  • Complex Configuration
    Configuring Vespa.ai can be complex and time-consuming, requiring in-depth understanding and expertise, which can delay implementation.

RediSearch features and specs

No features have been listed yet.

Vespa.ai videos

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

Add video

RediSearch videos

+ Add

RediSearch: Build modern apps with high speed performance, Capital One

More videos:

  • Review - Add Real-Time Full-Text Search to Your Web Site with RediSearch
  • Review - RediSearch Overview, Benchmarks and Creating an Active-Active Search Engine with CRDT

Category Popularity

0-100% (relative to Vespa.ai and RediSearch)

Vespa.ai

RediSearch

Custom Search Engine
86 86%
Custom Search Engine
14% 14
Search Engine
86 86%
Search Engine
14% 14
Custom Search
0 0%
Custom Search
100% 100
Databases
100 100%
Databases
0% 0

User comments

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

Social recommendations and mentions

Based on our record, Vespa.ai seems to be a lot more popular than RediSearch. While we know about 20 links to Vespa.ai, we've tracked only 1 mention of RediSearch. 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 (20)

  • Why You Shouldn’t Invest In Vector Databases?
    In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate... - Source: dev.to / 16 days ago
  • 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 / about 1 year 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 / over 1 year 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 / over 1 year 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 / over 1 year ago
View more

RediSearch mentions (1)

  • Redis Streams in Action: Part 1 (Intro and overview)
    Available as a Redis module, RediSearch provides flexible search capabilities, thanks to a first-class secondary indexing engine. Some of its key features include full-text search, auto completion, and geographical indexing. There are a bunch of other features whose detailed exploration is out of scope of this blog series. I would highly recommend you to go through the documentation to explore further. For now,... - Source: dev.to / almost 4 years ago

What are some alternatives?

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

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

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.

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

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

Loading...