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TerminusDB VS nebula graph

Compare TerminusDB VS nebula graph and see what are their differences

TerminusDB logo TerminusDB

TerminusDB is an open source model driven graph database for knowledge graph representation designed specifically for the web-age.

nebula graph logo nebula graph

Featuring horizontal scalability, strong data consistency, high availability, and SQL-like query language, Nebula Graph database enables you to get insight out of your connected data. Get it now. For free
  • TerminusDB Landing page
    Landing page //
    2023-07-28
  • nebula graph Landing page
    Landing page //
    2023-10-04

TerminusDB features and specs

  • Version Control
    TerminusDB has built-in version control for data, enabling users to manage changes over time, rollback to previous versions, and track data lineage.
  • Collaboration Features
    It supports collaborative workflows with branching, merging, and diffing, making it easier for teams to work together on data projects.
  • Schema Enforcement
    Provides strong schema enforcement to ensure data consistency and integrity, promoting better data management practices.
  • Graph Database Foundation
    Built on a powerful graph database architecture, which offers high flexibility and efficiency for managing complex and interconnected data.
  • Open Source
    TerminusDB is open source, providing transparency and the ability for users to contribute to its development or customize it for their needs.

Possible disadvantages of TerminusDB

  • Learning Curve
    The tool can have a steep learning curve for those unfamiliar with versioned data systems or graph databases, requiring time to master.
  • Limited Community Support
    While growing, the community around TerminusDB is not as large as more established database solutions, potentially limiting peer support and resources.
  • Early-Stage Features
    Some features may still be in early development stages, which might lead to fewer functionalities compared to mature database systems.
  • Performance Overheads
    Version control and schema enforcement can introduce performance overheads, particularly for large datasets or highly dynamic use cases.

nebula graph features and specs

  • High Performance
    Nebula Graph is optimized for handling massive graphs with billions of nodes and trillions of edges. Its performance is facilitated by a high-throughput query engine and efficient data storage architecture.
  • Scalability
    Nebula Graph offers horizontal scalability, allowing the graph database to expand across multiple machines to accommodate growing data and workload without compromising performance.
  • Open Source
    As an open-source database, Nebula Graph allows users to access, modify, and distribute the source code, fostering community contributions and transparency in development.
  • Flexible Data Model
    The graph database supports various data models, making it adaptable to a wide range of applications, from social networks to recommendation systems and network analysis.
  • Compatibility with Graph Query Languages
    Nebula Graph is compatible with common graph query languages such as Gremlin and Cypher, which makes it easier for users familiar with these languages to transition to using Nebula.
  • Strong Data Consistency
    Nebula Graph maintains strong data consistency across distributed systems, ensuring reliable data retrieval and updates across the database.

Possible disadvantages of nebula graph

  • Learning Curve
    New users may find Nebula Graph challenging to learn and utilize effectively, especially if they are not familiar with graph databases and the specific query languages used.
  • Ecosystem Maturity
    As a newer database, the surrounding ecosystem, including community support, third-party tools, and libraries, can be less mature compared to long-established databases like Neo4j.
  • Complexity in Setup
    Setting up a distributed deployment of Nebula Graph can be complex and may require significant time and resources to configure and optimize for specific use cases.
  • Limited Documentation
    Users might encounter limited or evolving documentation, which can pose challenges in learning and troubleshooting, particularly for advanced configurations and features.
  • Resource Intensive
    Running Nebula Graph efficiently, particularly in a distributed setup, can require significant computational resources, which might not be feasible for all organizations.

TerminusDB videos

Welcome to TerminusDB & TerminusHub

More videos:

  • Review - MongoDB vs TerminusDB - TerminusDB Discussion #13

nebula graph videos

Nebula Graph v3.0.0 Preview

More videos:

  • Review - Nebula Graph
  • Review - Nebula Graph community meeting [2022-05-18] How I generated Graph Data with community structure

Category Popularity

0-100% (relative to TerminusDB and nebula graph)
Databases
62 62%
38% 38
Graph Databases
59 59%
41% 41
NoSQL Databases
44 44%
56% 56
Developer Tools
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, TerminusDB should be more popular than nebula graph. It has been mentiond 16 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.

TerminusDB mentions (16)

  • Show HN: Graphiti – LLM-Powered Temporal Knowledge Graphs
    Have you seen TerminusDB? [0] They’ve got a nice solution to versioned RDF graphs, originally pitched as “Git for data” but focused on knowledge graphs. I’m not affiliated (in fact they launched around the same time that my co-founder and I launched Splitgraph with the same “Git for data” pitch), but I find their technology very intriguing. Knowledge graphs are on the cusp of revival after being in stasis for 20... - Source: Hacker News / 8 months ago
  • Help with some python DB client installation errors please
    Hey, I'm trying to install TerminusDB. They have the python client installation instructions here. Source: over 2 years ago
  • Is there a terminusdb package?
    Hi, I wanted to check if there's a NixOS package for TerminusDB. Source: over 2 years ago
  • free-for.dev
    TerminusX — Managed free service for TerminusDB, a document and graph database written in Prolog and Rust. Free for dev, paid service for enterprise deployments and support. - Source: dev.to / over 2 years ago
  • My ultimate/dream language -- tldr; LP/FP typed prolog
    As someone interested in prolog (and co-founder of terminusdb.com) I can sympathise a lot with your laundry list there :D Lack of type and mode annotations is a hassle on small programmes, and a serious problem on large ones just from the point of view of avoiding bugs, without even getting into performance. Source: over 2 years ago
View more

nebula graph mentions (6)

  • What is a NoSQL Graph Database?
    A NoSQL graph database is a type of non-relational, distributed database which employs a graph model. NoSQL stands for “Not only SQL” and refers to a new breed of databases that differ from traditional relational databases in their data model and performance. Graph databases are especially useful for data associated with relationships—everything from friendships on social netwo#rks to equipment supply chains or... - Source: dev.to / over 2 years ago
  • Graph Database vs Relational Database: What to Choose?
    An open source graph database is always the best place to start as they come with a supportive community that ultimately creates the perfect ecosystem. - Source: dev.to / over 2 years ago
  • Using NebulaGraph Importer to Import Data into NebulaGraph Database
    When we first came across NebulaGraph, because the ecology was not perfect, and only some businesses migrated to Nebula, we used to import NebulaGraph data, whether full or incremental, by pushing Hive tables to Kafka and consuming Kafka to write NebulaGraph in batch. Later, as more and more data and businesses switched to NebulaGraph, the problem of importing data efficiency became more and more serious. The... - Source: dev.to / over 2 years ago
  • Open Source NebulaGraph Database Raises Tens of Millions of Dollars in Series A Funding
    NebulaGraph, a leading open source graph database, announced it raised tens of millions of US dollars in Series A funding. Investors in the round are led by Jeneration Capital, with participation from the previous investors - Matrix Partner China, Redpoint China Ventures, and Source Code Capital. China Renaissance served as the exclusive financial advisor in this financing round. - Source: dev.to / over 2 years ago
  • Embeddable graph database
    One option is NebulaGraph if your looking for low latency, scalability, and HA. Source: over 3 years ago
View more

What are some alternatives?

When comparing TerminusDB and nebula graph, 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.

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

PlanetScale - The last database you'll ever need. Go from idea to IPO.

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.

LemonGraph - An embedded transactional graph engine for Python.

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