DBMS > SAP Adaptive Server vs. Snowflake vs. SpaceTime vs. SurrealDB

System Properties Comparison SAP Adaptive Server vs. Snowflake vs. SpaceTime vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS

Cloud-based data warehousing service for structured and semi-structured data

SpaceTime is a spatio-temporal DBMS with a focus on performance.

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

Primary database model

Relational DBMS

Spatial DBMS

Document store
Graph DBMS

Secondary database models

Spatial DBMS

with Boeing's Spatial Query Server

Relational DBMS

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

Score	35.09
Rank	#25	Overall
	#17	Relational DBMS

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Score	0.03
Rank	#392	Overall
	#8	Spatial DBMS

Score	1.02
Rank	#190	Overall
	#33	Document stores
	#18	Graph DBMS

Website

www.sap.com/products/technology-platform/sybase-ase.html

www.snowflake.com

www.mireo.com/spacetime

surrealdb.com

Technical documentation

help.sap.com/docs/SAP_ASE

docs.snowflake.net/manuals/index.html

surrealdb.com/docs

Developer

SAP, Sybase

Snowflake Computing Inc.

Mireo

SurrealDB Ltd

Initial release

1987

2014

2020

2022

Current release

16.0

v1.5.0, May 2024

License

Commercial or Open Source

commercial

Open Source

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and C++

C++

Rust

Server operating systems

AIX
HP-UX
Linux
Solaris
Unix
Windows

hosted

Linux

Linux
macOS
Windows

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

A subset of ANSI SQL is implemented

SQL-like query language

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)

CLI Client
JDBC
ODBC

RESTful HTTP API

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

C
C++
Cobol
Java
Java
Perl
PHP
Python

JavaScript (Node.js)
Python

C#
C++
Python

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

Java and Transact-SQL

user defined functions

Triggers

yes

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

yes

Fixed-grid hypercubes

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

Real-time block device replication (DRBD)

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.

User concepts

Access control

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept, user roles and pluggable authentication

yes

yes, based on authentication and database rules

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