Software Alternatives & Reviews

Dgraph VS kay.bot

Compare Dgraph VS kay.bot and see what are their differences

Dgraph logo Dgraph

A fast, distributed graph database with ACID transactions.

kay.bot logo kay.bot

KayBot - The Knowledge Graph Backed Virtual Assistant
  • Dgraph Landing page
    Landing page //
    2023-05-02
  • kay.bot Landing page
    Landing page //
    2023-04-21

Dgraph videos

Intro to Slash GraphQL from Dgraph

More videos:

  • Review - Getting started with Dgraph #5: Tweet graph, string indices, and keyword-based searching
  • Review - Graph Database: Intro to Dgraph's Query Language (2017)

kay.bot videos

No kay.bot videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Dgraph and kay.bot)
Graph Databases
100 100%
0% 0
Knowledge Search
0 0%
100% 100
Databases
100 100%
0% 0
Knowledge Management
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Dgraph seems to be more popular. It has been mentiond 20 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.

Dgraph mentions (20)

  • How to choose the right type of database
    Dgraph: A distributed and scalable graph database known for high performance. It's a good fit for large-scale graph processing, offering a GraphQL-like query language and gRPC API support. - Source: dev.to / 2 months ago
  • Getting Started with Serverless Edge - Exploring the Options
    DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 1 year ago
  • Fluree DB - A datomic like database that I just discovered
    How does it compare to, say grakn (renamed https://vaticle.com/, I think?), or draph (https://dgraph.io/), or Ontotext's GraphDB (https://www.ontotext.com/products/graphdb/), or Datomic? Source: over 1 year ago
  • GKE with Consul Service Mesh
    Consul Connect service mesh has a higher memory footprint, so on a small cluster with e5-medium nodes (2 vCPUs, 4 GB memory), you will only be able to support a maximum of 6 side-car proxies. In order to get an application like Dgraph working, which will have 6 nodes (3 Dgraph Alpha pods and 3 Dgraph Zero pods) for high availability along with at least one client, a larger footprint with more robust Kubernetes... - Source: dev.to / over 1 year ago
  • Show HN: We have built a benchmark platform for graph databases
    Looking forward comparison with Dgraph ( https://dgraph.io/ ) — I mentioned Dgraph in other, older, posts. I'm not a shill, just a Dgraph user who's looking for alternative. - Source: Hacker News / over 1 year ago
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kay.bot mentions (0)

We have not tracked any mentions of kay.bot yet. Tracking of kay.bot recommendations started around Jul 2022.

What are some alternatives?

When comparing Dgraph and kay.bot, you can also consider the following products

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

Stardog - Learn how Stardog's data unification platform creates a flexible data layer using a knowledge graph.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

Hasura - Hasura is an open platform to build scalable app backends, offering a built-in database, search, user-management and more.

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

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