DBMS > JaguarDB vs. NebulaGraph vs. Snowflake vs. ToroDB vs. Weaviate

System Properties Comparison JaguarDB vs. NebulaGraph vs. Snowflake vs. ToroDB vs. Weaviate

Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

Performant, highly scalable DBMS for AI and IoT applications

A distributed, linear scalable, high perfomant Graph DBMS

Cloud-based data warehousing service for structured and semi-structured data

A MongoDB-compatible JSON document store, built on top of PostgreSQL

An AI-native realtime vector database engine that integrates scalable machine learning models.

Primary database model

Key-value store
Vector DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.06
Rank	#381	Overall
	#59	Key-value stores
	#13	Vector DBMS

Score	2.23
Rank	#116	Overall
	#10	Graph DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Score	1.52
Rank	#153	Overall
	#5	Vector DBMS

Website

www.jaguardb.com

github.com/vesoft-inc/nebula
www.nebula-graph.io

www.snowflake.com

github.com/torodb/server

github.com/weaviate/weaviate
weaviate.io

Technical documentation

www.jaguardb.com/support.html

docs.nebula-graph.io

docs.snowflake.net/manuals/index.html

weaviate.io/developers/weaviate

Developer

DataJaguar, Inc.

Vesoft Inc.

Snowflake Computing Inc.

8Kdata

Weaviate B.V.

Initial release

2015

2019

2014

2016

2019

Current release

3.3 July 2023

1.19, May 2023

License

Commercial or Open Source

Open Source

GPL V3.0

Open Source

Apache Version 2.0 + Common Clause 1.0

commercial

Open Source

AGPL-V3

Open Source

commercial license available with Weaviate Enterprise

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

the server part. Clients available in other languages

C++

Java

Server operating systems

Linux

hosted

All OS with a Java 7 VM

Data scheme

yes

Strong typed schema

yes

support of semi-structured data formats (JSON, XML, Avro)

schema-free

yes, maps to GraphQL interface

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

yes

string, int, float, geo point, date, cross reference, fuzzy references

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

Nebula Graph internally uses the Key-Value store RocksDB for persistency. The vertices, edges, and their properties are stored as Key while their values are stored as Value. The primary indexes are per Key and secondary indexes are per Value.

yes

all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed

SQL

Support of SQL

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

SQL-like query language

yes

GraphQL is used as query language

APIs and other access methods

JDBC
ODBC

Browser interface
console (shell)
Cypher Query Language
GO Object Graph Mapper
Java Object Graph Mapper
NGBatis

ORM framework for NebulaGraph and Spring-Boot
Proprietary native API
Python Object Graph Mapper
Query language nGQL

CLI Client
JDBC
ODBC

GraphQL query language
RESTful HTTP/JSON API

Supported programming languages

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C++
Go
Java
PHP
Python

JavaScript (Node.js)
Python

JavaScript / TypeScript
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication

Causal Clustering using Raft protocol

yes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Immediate Consistency

Eventual Consistency
Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using RocksDB

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

rights management via user accounts

Role-based access control

Users with fine-grained authorization concept, user roles and pluggable authentication

Access rights for users and roles

API Keys
OpenID Connect Discovery

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
» more

Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenarios

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
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As a database supporting the development of generative AI and semantic search applications...
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Key customers

Companies from a variety of industries have implemented NebulaGraph Database in production,...
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All companies that have data.
» more

Market metrics

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
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As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing models

NebulaGraph is open source and free to use under Apache 2.0 license.
» more

Weaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.