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Dgraph VS TigerGraph DB

Compare Dgraph VS TigerGraph DB and see what are their differences

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Dgraph logo Dgraph

A fast, distributed graph database with ACID transactions.

TigerGraph DB logo TigerGraph DB

Application and Data, Data Stores, and Graph Database as a Service
  • Dgraph Landing page
    Landing page //
    2023-05-02
  • TigerGraph DB Landing page
    Landing page //
    2023-08-29

Dgraph features and specs

  • High Performance
    Dgraph is optimized for high-throughput and low-latency scenarios, making it suitable for real-time applications with large datasets.
  • Horizontal Scalability
    Dgraph offers seamless horizontal scalability, allowing the system to expand across multiple nodes to handle increased workloads.
  • GraphQL Compatibility
    Dgraph provides native support for GraphQL, allowing developers to use a widely accepted query language with their graph database.
  • Distributed Architecture
    Being a distributed graph database, Dgraph ensures data replication and high availability across different geographical locations.
  • Strong Consistency
    Dgraph offers strong consistency guarantees, ensuring that all nodes see the same data at the same time, which is crucial for many applications.

Possible disadvantages of Dgraph

  • Complex Setup
    Setting up and managing Dgraph can be complex, especially for users not familiar with distributed systems.
  • Resource Intensive
    Running Dgraph in a production environment can be resource-intensive, requiring significant computational resources and memory.
  • Learning Curve
    For developers new to graph databases, there may be a steep learning curve compared to more traditional relational databases.
  • Limited Tooling Ecosystem
    Compared to some older graph databases, Dgraph's ecosystem, in terms of third-party tools and integrations, is not as mature.
  • Community Support
    As a relatively newer entrant in the database market, Dgraph may have less community-driven support compared to more established databases.

TigerGraph DB features and specs

No features have been listed yet.

Dgraph videos

+ Add

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)

TigerGraph DB videos

No TigerGraph DB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Dgraph and TigerGraph DB)

Dgraph

TigerGraph DB

Graph Databases
64 64%
Graph Databases
36% 36
Databases
63 63%
Databases
37% 37
Developer Tools
100 100%
Developer Tools
0% 0
NoSQL Databases
54 54%
NoSQL Databases
46% 46

User comments

Share your experience with using Dgraph and TigerGraph DB. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Dgraph seems to be more popular. It has been mentiond 21 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 (21)

  • List of 45 databases in the world
    Dgraph — Distributed, fast graph database. - Source: dev.to / 11 months ago
  • 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 / over 1 year ago
  • Getting Started with Serverless Edge - Exploring the Options
    DGraph – A distributed GraphQL database with a graph backend. - Source: dev.to / over 2 years 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 2 years 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 2 years ago
View more

TigerGraph DB mentions (0)

We have not tracked any mentions of TigerGraph DB yet. Tracking of TigerGraph DB recommendations started around Mar 2021.

What are some alternatives?

When comparing Dgraph and TigerGraph DB, 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.

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

FalkorDB - Build Fast and Accurate GenAI Apps with GraphRAG at Scale

NetworkX - NetworkX is a Python language software package for the creation, manipulation, and study of the...

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

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

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