DBMS > AnzoGraph DB vs. Bangdb vs. SurrealDB

System Properties Comparison AnzoGraph DB vs. Bangdb vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

Scalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization

Converged and high performance database for device data, events, time series, document and graph

A fully ACID transactional, developer-friendly, multi-model DBMS

Primary database model

Graph DBMS
RDF store

Document store
Graph DBMS
Time Series DBMS

Document store
Graph DBMS

Secondary database models

Spatial DBMS

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

Score	0.22
Rank	#297	Overall
	#25	Graph DBMS
	#13	RDF stores

Score	0.07
Rank	#347	Overall
	#48	Document stores
	#35	Graph DBMS
	#32	Time Series DBMS

Score	0.97
Rank	#187	Overall
	#31	Document stores
	#17	Graph DBMS

Website

cambridgesemantics.com/anzograph

bangdb.com

surrealdb.com

Technical documentation

docs.cambridgesemantics.com/anzograph/userdoc/home.htm

docs.bangdb.com

surrealdb.com/docs

Developer

Cambridge Semantics

Sachin Sinha, BangDB

SurrealDB Ltd

Initial release

2018

2012

2022

Current release

2.3, January 2021

BangDB 2.0, October 2021

v1.5.0, May 2024

License

Commercial or Open Source

commercial

free trial version available

Open Source

BSD 3

Open Source

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

C, C++

Rust

Server operating systems

Linux

Linux
macOS
Windows

Data scheme

Schema-free and OWL/RDFS-schema support

schema-free

Typing

predefined data types such as float or date

yes: string, long, double, int, geospatial, stream, events

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.

Secondary indexes

yes

secondary, composite, nested, reverse, geospatial

SQL

Support of SQL

SPARQL and SPARQL* as primary query language. Cypher preview.

SQL like support with command line tool

SQL-like query language

APIs and other access methods

Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL

Proprietary protocol
RESTful HTTP API

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

C++
Java
Python

C
C#
C++
Java
Python

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

user defined functions and aggregates

Triggers

yes, Notifications (with Streaming only)

Partitioning methods

Methods for storing different data on different nodes

Automatic sharding

Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithm

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication in MPP-Cluster

selectable replication factor, Knob for CAP (enterprise version only)

MapReduce

Offers an API for user-defined Map/Reduce methods

Kerberos/HDFS data loading

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency in MPP-Cluster

Tunable consistency, set CAP knob accordingly

Foreign keys

Referential integrity

not needed in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, optimistic concurrency control

yes

Durability

Support for making data persistent

yes

yes, implements WAL (Write ahead log) as well

yes

In-memory capabilities

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

yes

yes, run db with in-memory only mode

User concepts

Access control

Access rights for users and roles

yes (enterprise version only)

yes, based on authentication and database rules

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More resources

Recent citations in the news

AnzoGraph: A graph database for deep analytics
15 April 2019, InfoWorld

AnzoGraph: A W3C Standards-Based Graph Database
8 February 2019, Towards Data Science

The 12 Best Graph Databases to Consider for 2024
22 October 2023, Solutions Review

Comparing Graph Databases II. Part 2: ArangoDB, OrientDB, and… | by Sam Bell
20 September 2019, Towards Data Science

Knowledge graph evolution: Platforms that speak your language
30 January 2020, ZDNet

provided by Google News

SurrealDB Empowers Developers to Build Applications with the Launch of SurrealDB University
15 October 2024, Business Wire

SurrealDB's Surreal Cloud debuts on AWS S3 for scalable multimodel database as a service
4 December 2024, SiliconANGLE News

SurrealDB Raises $20 Million to Disrupt Database Tech; Introduces New Cloud Beta Access
18 June 2024, PR Newswire

SurrealDB Launches Surreal Cloud, a Fully Managed Database Service That Tackles the Complexity Issues Faced by Developer Teams
7 December 2024, insideainews.com

SurrealDB is helping developers consolidate their databases
18 June 2024, TechCrunch

provided by Google News

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