Competing with Airbnb

11

October

2016

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Yesterday the two European online accommodation platforms 9flats and Wimdu announced that they are going to merge, this in order to be able to compete with the well-known American market leader Airbnb.

Both companies were originally founded in Germany. 9Flats claims to offer 250.000 apartments worldwide and Wimdu offers around 300.000 residences, so together offering over a half million accommodations. Airbnb offers four times this amount through their platform, namely approximately two million accommodations (Techcrunch, 2016).

Important to notice is that online accommodation platforms are subject to increasing regulations in Europe. In 2014, Berlin implemented a law that prohibits short-term rentals, and checks properties actively to see if this implemented properly. Other cities, like Amsterdam, London, and Paris regulate the rentals through the number of rooms that can be rented, the number of persons and the rental period, which seems more favourable for the economy. In Brussels, homes can only be rented when permission is given from the owner, while this is not obligated in above-mentioned cities. The European Commission has stated in its 2015 digital single market strategy paper that sharing platforms ‘’offer opportunities for increased efficiency, growth and jobs, through improved customer choice, but also potentially raises new regulatory questions.’’ (European Commission, 2015, p11). At the moment sharing platforms are still supported by the European Commission, however legislation concerns the online accommodation platforms for the future.

Roman Bach, former CEO of 9flats, will lead the joint entity that is going to be headquartered in Singapore. 9flats already moved its business to Singapore, due to increasing limiting legislation. He stated that this merge would enable them to create a stronger value proposition for their guests and hosts, while simultaneously accelerating growth and improving long-term profitability (Wiwo, 2016).

I believe that if the new joint entity would be able to successfully increase their market share, by adding scale and entering more markets, it would have a chance against Airbnb. It has to mitigate the risk of increasing legislation by reaching into more markets and promoting their platform to both hosts and guests, in order to compete with the American current market leader.

 

References:

Airbnb rivals Wimdu and 9flats consolidate

http://www.europarl.europa.eu/RegData/etudes/BRIE/2015/568345/EPRS_BRI(2015)568345_EN.pdf

http://eurlex.europa.eu/legalcontent/EN/TXT/PDF/?uri=CELEX:52015DC0192&from=EN

http://www.nu.nl/internet/4333952/airbnb-concurrenten-wimdu-en-9flats-gaan-fuseren.html

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A comparison between SQL and NoSQL

29

September

2016

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A comparison between SQL and NoSQL

Huge amounts of data are collected these days, which creates the need for advanced storage technologies. Since databases were introduced in 1960’s, different types have been developed. SQL (Structured query language) is a well-known database that has emerged in the 70’s, but one of the technologies that has gained particular attention since the late 2000s is a NoSQL database. (Hadjigeorgiou, 2013). I will make a comparison between these two databases and discuss the advantages and limitations of each.

Let me start by explaining what SQL and NoSQL databases actually are: the basic concept of SQL is that it is a relational database. This means that all data is stored in relations, structured in a set of tables with columns and rows. The columns define data categories, and each row is contains a unique instance of these defined categories (Khan, 2011).

NoSQL is developed in response to the high volume data that is being created, stored and analysed by users and applications. NoSQL combines a selection of different database technologies and are non-relational databases, meaning that it does not require fixed table schemas. (Planet Cassandra, 2015). The non-relational databases can generally be divided into three categories: the document model (organizes data as a collection of documents) the graph model (data stored using nodges, edges and properties) and the Key-value Wide column models (data stored as attribute name or key with its corresponding value) (MongoDB, 2016)

A downside of a relational database might be that data has to fit in a table. The same table cannot be used to store different information, which introduces complexity issues in case of adding or restructuring data. However the table ensures a strict data storage, limiting consistency issues. (Planet Cassandra, 2015). The advantages of a NoSQL database are that it is able to process a large amount of unrelated and unstructured data, enabling developers to cope with the growing amount of data velocity, variety, volume and complexity. Because of their simpler data models, NoSQL are also able to process data faster than SQL databases. (Khan, 2011). However, NoSQL databases are less reliable compared to SQL databases because of less reliability and less data-integrity, making SQL databases preferable when data-integrity is essential (Buckler, 2015).

So which one is better, SQL or NoSQL databases? The choice should depend on the particular problem that one wants to solve. Both have their advantages and limitations and hybrid solutions may even be more suitable in some cases than eliminating one of the two.

 

References:

  • <http://www.thewindowsclub.com/difference-sql-nosql-comparision>
  • https://www.sitepoint.com/sql-vs-nosql-differences/

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