PostgreSQL vs ClickHouse

PostgreSQL performance increases with each release, this is also proven by many benchmark tests.

Notable performance features include:

• As PostgreSQL only supports one storage engine, it has been able to integrate and optimise it and with the rest of the database. This has resulted in multiple benefits such as the ability to allow different transaction types to co-exist efficiently without the need to select storage engine types once for each table ahead of time.

• On the fly data compression resulting in less IO required for reading.

• Asynchronous + synchronous Replication.

• PostgreSQL supports a asynchronous API for use by client applications. It is reported to increase performance by up to 40% and is not supported by MySQL.

• Designed to scale very well with large numbers of cores at high concurrency levels.

PostgreSQL is known to have a very holistic approach to robustness and data integrity which is reflected by it being fully ACID compliant.

PostgreSQL has always been strict about making sure data is valid before allowing it into the database, and there is no way for a client to bypass those checks.

Depending on your requirements, ACID compliance might be important.

PostgreSQL has a strong community backing it, with guides, tutorials and support for any kind of problem a developer may have.

JSON data can be stored as a column with optional indexes. In 9.4 (upcoming at the time of this writing), JSONB will be a binary version of JSON that will save space. It's like the best of the NO-SQL world without having to give up ACID and Relationships. This means that cascading deletes can be done in a single Transaction across multiple JSON documents.

Regular fixes and features are released

PostgreSQL can be extended to have geographic object support through PostGIS and allows for location queries to be run through SQL.

There are many packages (like Sequelize) that integrate deeply with the features Postgres offers.

Postgres supports popular languages for coding stored procedures, such as Perl and Python. So, you can fairly easy transform just DB-server to reliable Service with complex business logic.

It is a powerful, open source product that has all the bells and whistles when compared with its costly, proprietary counterparts.

ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. Downtime of a single node or the whole datacenter won't affect the system's availability for both reads and writes.

ClickHouse scales well both vertically and horizontally. ClickHouse is easily adaptable to perform either on cluster with hundreds of nodes, or on a single server or even on a tiny virtual machine.

ClickHouse uses all available hardware to its full potential to process each query as fast as possible. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second.