DBMS > Alibaba Cloud AnalyticDB for MySQL vs. Immudb vs. Kyligence Enterprise vs. SAP HANA

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. Immudb vs. Kyligence Enterprise vs. SAP HANA

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Name

Description

A real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.

An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.

A distributed analytics engine for big data, built on top of Apache Kylin

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

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Document store

Relational 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	0.92
Rank	#195	Overall
	#91	Relational DBMS

Score	0.24
Rank	#295	Overall
	#42	Key-value stores

Score	0.44
Rank	#259	Overall
	#118	Relational DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Website

www.alibabacloud.com/product/analyticdb-for-mysql

github.com/codenotary/immudb
immudb.io

kyligence.io/kyligence-enterprise

www.sap.com/products/hana.html

Technical documentation

www.alibabacloud.com/help/doc-detail/93776.htm

docs.immudb.io

help.sap.com/hana

Developer

Alibaba

Codenotary

Kyligence, Inc.

SAP

Initial release

2020

2016

2010

Current release

1.2.3, April 2022

2.0 SPS07 (April 4, 2023), April 2023

License

Commercial or Open Source

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

Java

Server operating systems

hosted

BSD
Linux
macOS
Solaris
Windows
z/OS

Linux

Appliance or cloud-service

Data scheme

yes

schema-free

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

yes

SQL-like syntax

ANSI SQL for queries (using Apache Calcite)

yes

APIs and other access methods

JDBC
ODBC

gRPC protocol
PostgreSQL wire protocol

JDBC
ODBC
RESTful HTTP API

JDBC
ODBC

Supported programming languages

C#
Java
PHP
Python

.Net
Go
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

yes

SQLScript, R

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

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

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

fine grained access rights according to SQL-standard

yes

More information provided by the system vendor

Specific characteristics

A real-time data warehousing service that can process PB data with high concurrency...
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Competitive advantages

TPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
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Licensing and pricing models

Available regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
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