DBMS > Hive vs. Microsoft Access

System Properties Comparison Hive vs. Microsoft Access

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Our visitors often compare Hive and Microsoft Access with PostgreSQL, Oracle and Microsoft SQL Server.

Editorial information provided by DB-Engines

Name

Description

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. info

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

Primary database model

Relational DBMS

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Score	74.71
Rank	#15	Overall
	#10	Relational DBMS

Score	144.65
Rank	#9	Overall
	#6	Relational DBMS

Website

hive.apache.org

products.office.com/en-us/access

Technical documentation

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

msdn.microsoft.com/en-us/library/office/ff604965.aspx

Developer

Apache Software Foundation info

initially developed by Facebook

Microsoft

Initial release

2012

1992

Current release

2.3.0, July 2017

1902 (16.0.11328.20222), March 2019

License

Commercial or Open Source

Open Source info

Apache Version 2

commercial info

Bundled with Microsoft Office

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

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Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Windows

Not a real database server, but making use of DLLs

Data scheme

yes

Typing

predefined data types such as float or date

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

yes

but not compliant to any SQL standard

APIs and other access methods

JDBC
ODBC
Thrift

DAO
OLE DB
ADO.NET
ODBC

Supported programming languages

C++
Java
PHP
Python

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

Server-side scripts info

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 info

Methods for storing different data on different nodes

Sharding

none

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

ACID

but no files for transaction logging

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

but no files for transaction logging

User concepts info

Access control

Access rights for users, groups and roles

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

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