DBMS > KairosDB vs. openGauss vs. SAP HANA vs. SurrealDB

System Properties Comparison KairosDB vs. openGauss vs. SAP HANA vs. SurrealDB

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Editorial information provided by DB-Engines

Name

Description

Distributed Time Series DBMS based on Cassandra or H2

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

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

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

Primary database model

Time Series DBMS

Relational DBMS

Document store
Graph DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.62
Rank	#239	Overall
	#20	Time Series DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	44.69
Rank	#22	Overall
	#16	Relational DBMS

Score	0.86
Rank	#203	Overall
	#34	Document stores
	#18	Graph DBMS

Website

github.com/kairosdb/kairosdb

gitee.com/opengauss
opengauss.org

www.sap.com/products/hana.html

surrealdb.com

Technical documentation

kairosdb.github.io

docs.opengauss.org/en
gitee.com/opengauss/docs

help.sap.com/hana

surrealdb.com/docs

Developer

Huawei and openGauss community

SAP

SurrealDB Ltd

Initial release

2013

2019

2010

2022

Current release

1.2.2, November 2018

3.0, March 2022

2.0 SPS07 (April 4, 2023), April 2023

v1.1.1, January 2024

License

Commercial or Open Source

Open Source

Apache 2.0

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

Java

C, C++, Java

Rust

Server operating systems

Linux
OS X
Windows

Linux

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

ANSI SQL 2011

yes

SQL-like query language

APIs and other access methods

Graphite protocol
HTTP REST
Telnet API

JDBC
ODBC

GraphQL
RESTful HTTP API
WebSocket

Supported programming languages

Java
JavaScript

Node.js
PHP
Python

C
C++
Java

Deno
Go
JavaScript (Node.js)
Rust

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

based on Cassandra

horizontal partitioning (by range, list and hash)

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

based on Cassandra

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

based on Cassandra
Immediate Consistency

based on Cassandra

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

simple password-based access control

Access rights for users, groups and roles according to SQL-standard

yes

yes, based on authentication and database rules

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