DBMS > atoti vs. Badger vs. NebulaGraph vs. searchxml

System Properties Comparison atoti vs. Badger vs. NebulaGraph vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

An in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.

An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.

A distributed, linear scalable, high perfomant Graph DBMS

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Object oriented DBMS

Key-value store

Graph DBMS

Native XML DBMS
Search engine

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

Score	0.56
Rank	#245	Overall
	#10	Object oriented DBMS

Score	0.14
Rank	#331	Overall
	#49	Key-value stores

Score	2.14
Rank	#120	Overall
	#10	Graph DBMS

Score	0.00
Rank	#383	Overall
	#7	Native XML DBMS
	#25	Search engines

Website

atoti.io

github.com/dgraph-io/badger

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

www.searchxml.net/category/products

Technical documentation

docs.atoti.io

godoc.org/github.com/dgraph-io/badger

docs.nebula-graph.io

www.searchxml.net/support/handouts

Developer

ActiveViam

DGraph Labs

Vesoft Inc.

informationpartners gmbh

Initial release

2017

2019

2015

Current release

1.0

License

Commercial or Open Source

commercial

free versions available

Open Source

Apache 2.0

Open Source

Apache Version 2.0 + Common Clause 1.0

commercial

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

BSD
Linux
OS X
Solaris
Windows

Linux

Windows

Data scheme

schema-free

Strong typed schema

schema-free

Typing

predefined data types such as float or date

yes

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

SQL

Support of SQL

Multidimensional Expressions (MDX)

SQL-like query language

APIs and other access methods

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

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

.Net
C++
Go
Java
PHP
Python

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

Python

user defined functions

yes

on the application server

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

none

Causal Clustering using Raft protocol

yes

sychronisation to multiple collections

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

Transaction concepts

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

ACID

multiple readers, single writer

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

Domain, group and role-based access control at the document level and for application services

More information provided by the system vendor

Specific characteristics

NebulaGraph is a truly distributed, linearly scalable, lightning-fast graph database,...
» more

Competitive advantages

NebulaGraph boasts the world's only graph database solution that is able to host...
» more

Typical application scenarios

Social networking Fraud detection Knowledge graph Data warehouse management Anti...
» more

Key customers

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

Market metrics

At our very early stage, NebulaGraph has already received over 10,000 stars on GitHub...
» more

Licensing and pricing models

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

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

FRTB product of the year: ActiveViam
28 November 2023, Risk.net

provided by Google News

Vesoft (NebulaGraph) Recognized in the Gartner® Market Guide for Graph Database Management Systems
15 November 2023, PR Newswire

NebulaGraph reaps from China's growing appetite for graph databases
16 September 2022, TechCrunch

NebulaGraph Completes Series A to Scale Its Distributed Graph Database
16 September 2022, Datanami

NebulaGraph Enterprise v5.0: The First Distributed Graph Database to Offer Native GQL Support
18 April 2024, IT News Online

provided by Google News

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