DBMS > SAP HANA vs. SurrealDB

System Properties Comparison SAP HANA vs. SurrealDB

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Our visitors often compare SAP HANA and SurrealDB with PostgreSQL, MongoDB and MySQL.

Editorial information provided by DB-Engines

Name

Description

In-memory, column based data store. Available as appliance or cloud service

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

Primary database model

Relational DBMS

Document store
Graph DBMS

Secondary database models

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	45.84
Rank	#22	Overall
	#16	Relational DBMS

Score	0.91
Rank	#204	Overall
	#33	Document stores
	#18	Graph DBMS

Website

www.sap.com/products/hana.html

surrealdb.com

Technical documentation

help.sap.com/hana

surrealdb.com/docs

Developer

SAP

SurrealDB Ltd

Initial release

2010

2022

Current release

2.0 SPS07 (April 4, 2023), April 2023

v1.1.1, January 2024

License

Commercial or Open Source

commercial

Open Source

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Rust

Server operating systems

Appliance or cloud-service

Linux
macOS
Windows

Data scheme

yes

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.

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

JDBC
ODBC

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Replication methods

Methods for redundantly storing data on multiple nodes

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

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

In-memory capabilities

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

yes

User concepts

Access control

yes

yes, based on authentication and database rules

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