Software Alternatives, Accelerators & Startups

Weaviate VS Metabase

Compare Weaviate VS Metabase and see what are their differences

Weaviate logo Weaviate

Welcome to Weaviate

Metabase logo Metabase

Metabase is the easy, open source way for everyone in your company to ask questions and learn from...
  • Weaviate Landing page
    Landing page //
    2023-05-10
  • Metabase Landing page
    Landing page //
    2023-04-25

Weaviate videos

Introducing the Weaviate Vector Search Engine!

More videos:

  • Review - Weaviate + Haystack presented by Laura Ham (Harry Potter example!)

Metabase videos

Metabase is a free, self hosted, open source data analytics platform that keeps using it simple.

Category Popularity

0-100% (relative to Weaviate and Metabase)
Search Engine
100 100%
0% 0
Business Intelligence
0 0%
100% 100
Utilities
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

Share your experience with using Weaviate and Metabase. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Weaviate and Metabase

Weaviate Reviews

We have no reviews of Weaviate yet.
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Metabase Reviews

Top 11 Grafana Alternatives & Competitors [2024]
Metabase is tailored for exploring and querying structured data within databases. It empowers users with an intuitive interface to effortlessly create and share interactive dashboards, facilitating seamless data exploration. One of its notable advantages is the accessibility it offers to non-technical users, granting them the ability to create their own charts without...
Source: signoz.io
Embedded analytics in B2B SaaS: A comparison
Similar to Holistics also Metabase is a BI tool at its core. It however feels nothing like Looker and has a unique feel to it. It felt quite intuitive how its set-up but there’s still quite a steep learning curve, even for a well-seasoned data professional. Also Metabase offers an iFrame implementation for embedding. An added advantage of Metabase is that they are...
Source: medium.com
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Metabase is a business intelligence software suite allowing you to ask questions about your data without complicated code and jargon and lets professionals visualize their business data accurately.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
Small businesses and startups with limited resources that need to answer simple queries will find Metabase, Tableau, and PowerBI suitable for their needs. However, if you have an in-house data team dedicated to the project, you might find open-source software like Redash and Metabase (open-source version) beneficial. And if you have the team, time, and money, Looker or...
Source: trevor.io
Top 10 Tableau Open Source Alternatives: A Comprehensive List
Tableau Open Source alternatives are typically free, making them appealing to freelancers and small businesses. However, even Business Intelligence tools with a commercial component, such as Metabase, are less expensive on average. Metabase is very similar to Tableau in the sense that it is a Data Analytics tool that is accessible to both tech-savvy and non-tech-savvy users....
Source: hevodata.com

Social recommendations and mentions

Based on our record, Weaviate should be more popular than Metabase. It has been mentiond 28 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.

Weaviate mentions (28)

  • How to choose the right type of database
    Weaviate: An open-source, cloud-native vector database built for scalable and fast vector searches. It's particularly effective for semantic search applications, combining full-text search with vector search for AI-powered insights. - Source: dev.to / 4 months ago
  • 7 Vector Databases Every Developer Should Know!
    Weaviate is an open-source vector search engine with out-of-the-box support for vectorization, classification, and semantic search. It is designed to make vector search accessible and scalable, supporting use cases such as semantic text search, automatic classification, and more. - Source: dev.to / 4 months ago
  • Qdrant, the Vector Search Database, raised $28M in a Series A round
    Congrats to them! What have your experiences with vector databases been? I've been using https://weaviate.io/ which works great, but just for little tech demos, so I'm not really sure how to compare one versus another or even what to look for really. - Source: Hacker News / 5 months ago
  • How Modern SQL Databases Are Changing Web Development - #4 Into the AI Era
    A RAG implementation's quality and performance highly depend on the similarity-based search of embeddings. The challenge arises from the fact that embeddings are usually high-dimensional vectors, and the knowledge base may have many documents. It's not surprising that the popularity of LLM catalyzed the development of specialized vector databases like Pinecone and Weaviate. However, SQL databases are also evolving... - Source: dev.to / 6 months ago
  • Make Notion search great again: Vector Database
    To find semantically similar texts we need to calculate the distance between vectors. While we have just a few short texts we can brute-force it: calculate the distance between our query and each text embedding one by one and see which one is the closest. When we deal with thousands or even millions of entries in our database, however, we need a more efficient way of comparing vectors. Just like for any other way... - Source: dev.to / 7 months ago
View more

Metabase mentions (14)

  • Is Tableau Dead?
    I've never used Tableau, but heard a lot of hate about it. However, in my previous role, we were big fans of Metabase (https://metabase.com). You can also self-host it, which was a huge win for us. - Source: Hacker News / 4 months ago
  • Ask HN: Open-Source Self-Hosted No-Code Platforms?
    The solution really depends on what sort of problems you are trying to solve and who your customers are. There are a fair few low-code solutions out there for reporting and data visualisation that are great for finance and marketing teams for example. e.g. https://metabase.com/ , https://evidence.dev/ For enterprise processes I'd go with Camunda (solely based on recommendations and not first hand experience).... - Source: Hacker News / about 1 year ago
  • Ask HN: Who is hiring? (December 2022)
    Metabase | https://metabase.com | REMOTE | Full-time | Backend, Frontend, Full Stack, and DevOps engineers. - Source: Hacker News / over 1 year ago
  • Make Better Decisions the Easy Way: Deploy Metabase with Azure Container Apps
    With a few simple steps, you can deploy Metabase on Microsoft Azure using Azure Container Apps. This process works for any Docker container hosted on Docker Hub, not just Metabase, so you can try it with your containers. - Source: dev.to / almost 2 years ago
  • Integration/extension/plugin system in Nodejs
    Try metabase.com its built with node and uses plugins. Source: about 2 years ago
View more

What are some alternatives?

When comparing Weaviate and Metabase, you can also consider the following products

Qdrant - Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

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

Microsoft Power BI - BI visualization and reporting for desktop, web or mobile

txtai - AI-powered search engine

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.