DBMS > AlaSQL vs. Alibaba Cloud PolarDB vs. GreptimeDB vs. SAP HANA

System Properties Comparison AlaSQL vs. Alibaba Cloud PolarDB vs. GreptimeDB vs. SAP HANA

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Editorial information provided by DB-Engines

Name

Description

JavaScript DBMS library

A cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.

An open source Time Series DBMS built for increased scalability, high performance and efficiency

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

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

Relational 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	0.51
Rank	#256	Overall
	#40	Document stores
	#118	Relational DBMS

Score	0.66
Rank	#235	Overall
	#108	Relational DBMS

Score	0.12
Rank	#351	Overall
	#34	Time Series DBMS

Score	44.27
Rank	#23	Overall
	#16	Relational DBMS

Website

alasql.org

www.alibabacloud.com/product/polardb

greptime.com

www.sap.com/products/hana.html

Technical documentation

github.com/AlaSQL/alasql

www.alibabacloud.com/help/en/polardb/product-overview

docs.greptime.com

help.sap.com/hana

Developer

Andrey Gershun & Mathias R. Wulff

Alibaba

Greptime Inc.

SAP

Initial release

2014

2022

2010

Current release

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

Open Source

MIT-License

commercial

Open Source

Apache Version 2.0

commercial

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

Android
Docker
FreeBSD
Linux
macOS
Windows

Appliance or cloud-service

Data scheme

schema-free

yes

schema-free, schema definition possible

yes

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

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

yes

APIs and other access methods

JavaScript API

JDBC
ODBC

gRPC
HTTP API
JDBC

JDBC
ODBC

Supported programming languages

JavaScript

Java
Python

C++
Erlang
Go
Java
JavaScript

Server-side scripts

Stored procedures

yes

Python

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Implicit feature of the cloud service

Sharding

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

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

fine grained access rights according to SQL-standard

Simple rights management via user accounts

yes

More information provided by the system vendor

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Competitive advantages

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Typical application scenarios

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Key customers

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Market metrics

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Licensing and pricing models

Specification and pricing. You can use either of the following billing methods to...
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