mongodb vs postgresql performance

Five tips for Instagram to improve PostgreSQL performance, postgresql Performance Optimization As Instagram grows, Postgres continues to serve as a solid foundation for Instagram and stores a vast majority of user data. Less than a year ago, we also wrote on our blog that Instagram "stores a large amount of data" and a

in many ways without locking every operation. For example, you can add a column that has no default value but can be set to null and can quickly complete the operation without locking the entire table. There are other interesting functions, such as the trigram-based index and retrieval, full-text retrieval, JSON query, and key-value pairs, supports publishing/subscription and more. The most important thing is that PostgreSQL can weigh

lights go out, it's no big deal. For an ecommerce site, you need to ask yourself what you really need. Do you really need a level of performance that a RDBMS can't deliver? Do you need the reliability that an RDBMS provides? Unless you're dealing with traffic levels comparable to Amazon.com's, an RDBMs, even on modest hardware will probably satisfy your performance needs just fine, especially if you limit

Tutorial on creating a MongoDB copy based on PostgreSQL, postgresqlmongodb I have an idea of laziness. How can I start with this idea? Well, this is an appropriate little crazy: Why don't we build our own MongoDB version on the basis of ipvs? It sounds a little far-fetched, but it is simple and practical. When NoSQL sports are surging, The Postgres community does

In the relational database area, PostgreSQL is a very popular open source database software. Since its release in 1996, it has accumulated nearly 20 years of practical experience, both in PostgreSQL itself and in community ecology. Not only small and medium-sized enterprises, many large industry customers will also use PostgreSQL to build their own database syste

Tags: size arrangement SDN Technology share ext ODBC. NET Analysis tool downPostgreSQL Hardware Performance Tuning Translated from the article "PostgreSQL Hardware performance Tuning" PostgreSQL is an object-relational database developed by developers all over the world on the Internet. She is an open so

always one thing behind these achievements, that is, the basic database. Since the founding of Olery, We have installed a database, which uses MySQL to store (user, contract, etc.) core data, use MongoDB to store comments and similar data (that is, which data is easily restored when data is lost ). At the beginning, such installation and operation were very good. However, as the company grew up, we began to encounter various problems, especially

Use local indexes to improve PostgreSQL Performance You may not know that PostgreSQL supports partial indexing of table data? Its advantage is that it can accelerate the reading speed of the indexed data without additional overhead. the best way is to index the data that is read repeatedly based on the given WHERE clause. this is suitable for some specific analys

Label:Recently read an article, said that PostgreSQL also supports NOSQL, defined the exclusive JSONB data type, and faster than MongoDB, and today verified the next, the same data, postgre insertion speed is only MONGO of three points. may be caused by their respective drivers. data structure: type Stockdaystruct{Date int32 O, H, L, C, V, a float32} MONGO used the MGO package, the insertion code is as fol

1, Testing purpose By running the standard test program TPC-B and TPC-C, determine the performance differences between different parameters and different versions (8.2.14 vs 8.4.2, it provides reference for parameter configuration and version selection of PostgreSQL databases on ECOP cm. The test platform is: Hardware configuration: CPU e4600 dual-core 2.4g 2g RAM 160g SATA * 2 Operating System: Ubuntu 9.10

, supports C/C + + or any compatible language, and starts with the 5.7.3 version to support full-text search, PostgreSQL has a similar system but supports more languages, including C + +, Java,. Net, Perl, Python, Ruby, TCL, ODBC, and so on, it can even run user-supplied code in a separate process; In addition to the general information about databases, tables, and columns contained in all relational databases, the

The amount of data will be huge in the future/you cannot predict the size of the data. We recommend that you change to PostgreSQL. After a certain amount of data is stored in MySQL (generally, the performance of a single MySQL table is the best-, and the performance starts to decline when there are more data), the performance