DBMS > AlaSQL vs. Alibaba Cloud MaxCompute vs. SAP HANA vs. SurrealDB

System Properties Comparison AlaSQL vs. Alibaba Cloud MaxCompute vs. SAP HANA vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing

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

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

Primary database model

Document store
Relational DBMS

Relational DBMS

a graph-processing framework is available with the graphs being stored in tables

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	0.42
Rank	#264	Overall
	#42	Document stores
	#122	Relational DBMS

Score	0.85
Rank	#203	Overall
	#96	Relational DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	1.11
Rank	#174	Overall
	#30	Document stores
	#17	Graph DBMS

Website

alasql.org

www.alibabacloud.com/product/maxcompute

www.sap.com/products/hana.html

surrealdb.com

Technical documentation

github.com/AlaSQL/alasql

www.alibabacloud.com/help/en/maxcompute

help.sap.com/hana

surrealdb.com/docs

Developer

Andrey Gershun & Mathias R. Wulff

Alibaba

SAP

SurrealDB Ltd

Initial release

2014

2016

2010

2022

Current release

2.0 SPS07 (April 4, 2023), April 2023

v1.5.0, May 2024

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Cloud-based only

Only available as a cloud service

yes

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

JavaScript

Rust

Server operating systems

server-less, requires a JavaScript environment (browser, Node.js)

hosted

Appliance or cloud-service

Linux
macOS
Windows

Data scheme

schema-free

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

Close to SQL99, but no user access control, stored procedures and host language bindings.

SQL-like query language

yes

SQL-like query language

APIs and other access methods

JavaScript API

Fluentd
Flume
MaxCompute Console

JDBC
ODBC

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

JavaScript

Java

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

user defined functions

in Java

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

yes

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes

Implicit feature of the cloud service

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

only for local storage and DOM-storage

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using IndexedDB, SQL.JS or proprietary FileStorage

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

Access rights for users and roles

yes

yes, based on authentication and database rules

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