Relative Content

Tag Archive for redis

Are NoSQL databases the best choice for more efficiently querying large amounts of data?

We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.

Are NoSQL databases the best choice for more efficiently querying large amounts of data?

We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.

Are NoSQL databases the best choice for more efficiently querying large amounts of data?

We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.

Are NoSQL databases the best choice for more efficiently querying large amounts of data?

We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.

Are NoSQL databases the best choice for more efficiently querying large amounts of data?

We are planning to build a travel website in which we will be integrating multiple APIs (eg. DOTW, GTA, Expedia) for Hotels. I have initially tried to use MySQL but since there are huge amounts of data in hotels and it may contain numerous “one to many” relationships with Images, Amenities and Rooms, the search becomes very slow when we have data for around 200000 Hotels. Even fetching all details for just one hotel may results in a JOIN query from at least four tables, and scanning over all hotels records. So we are planning to migrate our product schema to any NoSQL database to make our search as fast as possible.