DBMS > Heroic vs. NebulaGraph vs. RocksDB vs. Weaviate vs. YottaDB

System Properties Comparison Heroic vs. NebulaGraph vs. RocksDB vs. Weaviate vs. YottaDB

Editorial information provided by DB-Engines

Name

Description

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

A distributed, linear scalable, high perfomant Graph DBMS

Embeddable persistent key-value store optimized for fast storage (flash and RAM)

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

A fast and solid embedded Key-value store

Primary database model

Secondary database models

Relational DBMS

using the Octo plugin

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

Score	0.51
Rank	#255	Overall
	#21	Time Series DBMS

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Score	3.65
Rank	#85	Overall
	#11	Key-value stores

Score	1.73
Rank	#143	Overall
	#5	Vector DBMS

Score	0.20
Rank	#317	Overall
	#47	Key-value stores

Website

github.com/spotify/heroic

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

rocksdb.org

github.com/weaviate/weaviate
weaviate.io

yottadb.com

Technical documentation

spotify.github.io/heroic

docs.nebula-graph.io

github.com/facebook/rocksdb/wiki

weaviate.io/developers/weaviate

yottadb.com/resources/documentation

Developer

Spotify

Vesoft Inc.

Facebook, Inc.

Weaviate B.V.

YottaDB, LLC

Initial release

2014

2019

2013

2019

2001

Current release

8.11.4, April 2024

1.19, May 2023

License

Commercial or Open Source

Open Source

Apache 2.0

Open Source

Apache Version 2.0 + Common Clause 1.0

Open Source

BSD

Open Source

commercial license available with Weaviate Enterprise

Open Source

AGPL 3.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

C++

Server operating systems

Linux

Docker
Linux

Data scheme

schema-free

Strong typed schema

schema-free

yes, maps to GraphQL interface

schema-free

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

via Elasticsearch

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

SQL-like query language

GraphQL is used as query language

by using the Octo plugin

APIs and other access methods

HQL (Heroic Query Language, a JSON-based language)
HTTP API

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

C++ API
Java API

GraphQL query language
RESTful HTTP/JSON API

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

.Net
C++
Go
Java
PHP
Python

C
C++
Go
Java
Perl
Python
Ruby

JavaScript / TypeScript
Python

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

user defined functions

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Causal Clustering using Raft protocol

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

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

yes

optimistic locking

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

Role-based access control

API Keys
OpenID Connect Discovery

Users and groups based on OS-security mechanisms

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.