DBMS > Alibaba Cloud MaxCompute vs. EsgynDB vs. Hive vs. Microsoft Access vs. OpenTSDB

System Properties Comparison Alibaba Cloud MaxCompute vs. EsgynDB vs. Hive vs. Microsoft Access vs. OpenTSDB

Editorial information provided by DB-Engines

Name

Description

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

Enterprise-class SQL-on-Hadoop solution, powered by Apache Trafodion

data warehouse software for querying and managing large distributed datasets, built on Hadoop

Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries.

The Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)

Scalable Time Series DBMS based on HBase

Primary database model

Relational DBMS

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

Relational DBMS

Time Series DBMS

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

Score	0.78
Rank	#221	Overall
	#102	Relational DBMS

Score	0.23
Rank	#319	Overall
	#141	Relational DBMS

Score	62.59
Rank	#18	Overall
	#12	Relational DBMS

Score	105.40
Rank	#11	Overall
	#8	Relational DBMS

Score	1.73
Rank	#147	Overall
	#12	Time Series DBMS

Website

www.alibabacloud.com/product/maxcompute

www.esgyn.cn

hive.apache.org

www.microsoft.com/en-us/microsoft-365/access

opentsdb.net

Technical documentation

www.alibabacloud.com/help/en/maxcompute

cwiki.apache.org/confluence/display/Hive/Home

developer.microsoft.com/en-us/access

opentsdb.net/docs/build/html/index.html

Developer

Alibaba

Esgyn

Apache Software Foundation

initially developed by Facebook

Microsoft

currently maintained by Yahoo and other contributors

Initial release

2016

2015

2012

1992

2011

Current release

3.1.3, April 2022

1902 (16.0.11328.20222), March 2019

License

Commercial or Open Source

commercial

Open Source

Apache Version 2

commercial

Bundled with Microsoft Office

Open Source

LGPL

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++, Java

Java

C++

Java

Server operating systems

hosted

Linux

All OS with a Java VM

Windows

Not a real database server, but making use of DLLs

Linux
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

numeric data for metrics, strings for tags

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

SQL-like query language

yes

SQL-like DML and DDL statements

yes

but not compliant to any SQL standard

APIs and other access methods

Fluentd
Flume
MaxCompute Console

ADO.NET
JDBC
ODBC

JDBC
ODBC
Thrift

ADO.NET
DAO
ODBC
OLE DB

HTTP API
Telnet API

Supported programming languages

Java

All languages supporting JDBC/ODBC/ADO.Net

C++
Java
PHP
Python

C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET

Erlang
Go
Java
Python
R
Ruby

Server-side scripts

Stored procedures

user defined functions

in Java

Java Stored Procedures

yes

user defined functions and integration of map-reduce

yes

since Access 2010 using the ACE-engine

Triggers

yes

since Access 2010 using the ACE-engine

Partitioning methods

Methods for storing different data on different nodes

Sharding

Implicit feature of the cloud service

Sharding

none

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Implicit feature of the cloud service

Multi-source replication between multi datacenters

selectable replication factor

none

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

but no files for transaction logging

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

but no files for transaction logging

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Access rights for users and roles

fine grained access rights according to SQL-standard

Access rights for users, groups and roles

a simple user-level security was built in till version Access 2003

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