This might include marketing data, customer data, finance data, IT data - really any type of data you can think of. A data warehouse is exactly as it sounds - a warehouse (or headquarters) for all your company data. Many people don't know what a data warehouse is, let alone why they might even need one. We can compare database image size, initial memory usage in Docker and initial CPU usage.Oracle vs SAS vs PostgreSQL vs MySQL vs Microsoft Azure What is a Data Warehouse? First comparisonīy now, you should have all six databases running. Unfortunately, thank to Microsoft’s EULA for SQL Server 2019, it is not possible to present benchmark for SQL Server, but I can tell you, it is a shame. PostgreSQL docker run -name postgres -e POSTGRES_PASSWORD=password -p 5433:5432 -v postgres_data:/var/lib/postgresql/data -d postgres:alpine TimescaleDB docker run -name timescale -e POSTGRES_PASSWORD=password -p 5434:5432 -v timescale_data:/var/lib/postgresql/data -d timescale/timescaledb:latest-pg12 MySQL docker run -name mysql -e MYSQL_ROOT_PASSWORD=password -p 3306:3306 -v mysql_data:/var/lib/mysql -d mysql:latest MariaDB docker run -name mariadb -e MYSQL_ROOT_PASSWORD=password -p 3307:3306 -v mariadb_data:/var/lib/mysql -d mariadb:latest Percona docker run -name percona -e MYSQL_ROOT_PASSWORD=password -p 3308:3306 -v percona_data:/var/lib/mysql -d percona:ps-8 SQL Server docker run -name sqlserver -e 'ACCEPT_EULA=Y' -e 'MSSQL_SA_PASSWORD=passw0rd.' -p 1433:1433 -v sqlserver_data:/var/opt/mssql -d /mssql/server:2019-latest Here are the Docker commands to run every database we need to test. We can run all the major databases in Docker with commands (and a little bit more information) from this article, but you find all those commands below. Which database has the smallest memory and CPU usageĪs I did my benchmark two years ago in 2019 (resulted into switching to PostgreSQL), it will be wise to repeat it now, in 2021.Īt first, we need to run all databases, we want to benchmark.When I decided to make my benchmark I was hunting three things: I use simple things a lot and complicated things as little as possible.įrom my perspective, my ideal database should be calmly humming all the time, serving reads and writes as quickly, as possible. I prefer reading multiple different tables as quick as possible, and then process the data outside the database. I do not use joins on joins on joins on joins.
#POSTGRESQL VS SQL UPDATE#
For me, delete and update are both subset of write.Īlso, when I read from database, I tend to make my selects as simple as possible. I see read as something not changing the database and write as something changing the database.
Database should hold the data and make two main operations as quick as possible: read and write. There are different benchmarks, measuring different things, sometimes parameters, that do not tell you anything meaningful.įrom my perspective, I see database as something, that exactly matches its name. To benchmark a database can be a tricky thing. So, to answer the question “ Why should you do database benchmark?” is to say: “ Because it turns YOU into that much more experienced colleague”. And I hit the perfect time, because Docker was arriving to the scene, so it looked like, it would be easy to start my work. Do you suppose to use something else? Do you want to break things?”Īnd of course, I didn’t want to break things.īut curiosity is my second name, so I decided to find out, which database should suits the best for our application. The answer was almost always something like: “MySQL is the best, I know MySQL. And I asked my much more experienced colleagues something like: “Hey, what are they? Why are they?”.
How can I argue with my much more experienced colleagues? I never searched for any other opinions, because at that time, I was learning. If they said, MySQL is the best, then it was. I was older, but my other colleagues were much more experienced. If they said, SQL Server is the best, then it was. I was young and had to listen older colleagues.
But it was not my decision to use SQL Server.
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