Citus Data transforms PostgreSQL into a distributed database, offering scalability for modern applications. It's designed for handling large data volumes by efficiently distributing workloads and providing fault-tolerant solutions that support business growth and operational efficiency.
| Product | Mindshare (%) |
|---|---|
| Citus Data | 2.2% |
| SQL Server | 10.6% |
| Oracle Database | 10.5% |
| Other | 76.7% |
As an extension for PostgreSQL, Citus Data combines the performance and power of PostgreSQL with the capability to scale across many nodes. This database offers full SQL functionality while distributing queries across multiple servers to manage large datasets. Known for its ability to handle both OLTP and analytical workloads, Citus Data enables businesses to achieve horizontal scalability with ease. The transparency in architectural configuration and integration with existing PostgreSQL tools make it a practical choice for data-driven organizations seeking performance and reliability.
What are the key features of Citus Data?In industries such as e-commerce, Citus Data is implemented to manage large-scale transactional data while providing real-time analytics for business insights. In finance, it supports high-frequency trading platforms, ensuring quick query responses under heavy loads. It also finds applications in healthcare, managing patient data securely and efficiently. For telecommunications, it powers data warehouses handling extensive user metadata. Each industry benefits from its scalable architecture and efficient data management capabilities.
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| Author info | Rating | Review Summary |
|---|---|---|
| Co-Founder at Afriziki | 4.0 | I chose Citus Data for its compatibility with PostgreSQL and impressive distributed processing. Although it needs improvements in DDL query routing and multi-node setup, it offers a good ROI and was necessary when scaling beyond PostgreSQL's limits. |
| Senior Data Analyst at a comms service provider with 1,001-5,000 employees | 3.5 | I find Citus Data valuable for writing complex scripts and appreciate its version upgrades and disaster recovery features. However, it needs to improve stability and may not be suitable if you have a more flexible budget due to ongoing issues. |
| System Controller at a transportation company with 10,001+ employees | 4.5 | I find Citus Data a very stable and scalable solution with easy setup and great support. It's a great product, though I wish it had more monitoring and reporting features. |
I chose Citus Data for a strategic use case due to its extensive extension support. I needed a specific extension that was only available in PostgreSQL, which led me to use Citus Data.
One major use case is for a high-traffic Dumbling platform. The client is utilizing over 70% of the available compute resources on their largest instance, which made Citus Data a sensible choice.
It allows for distribution while maintaining PostgreSQL compatibility, which was crucial in this case.
Its distributed processing capabilities are a standout feature. It requires minimal changes to get up and running if you already have a system on PostgreSQL. Citus can run in its natural state. The performance of Citus Data has also been impressive.
There are many areas of improvement , especially in terms of DDL query routing. Even though it's masterless, DDL queries need to be sent to the coordinator node. Also, setting up a multi-node environment could be more straightforward.
Currently, setting up a multi-node environment is challenging. It's a bit tricky. Installation on each PostgreSQL node can lead to communication issues between nodes. An automatic rebalancing feature would be a significant improvement.
Currently, I have to manually command the rebalance. It would be more convenient if it was rebalanced automatically.
The dashboard and monitoring capabilities are good, but it would be helpful to have an integrated availability dashboard.
I've been using it for a few years now, at least three years, maybe more.
I recently deployed the latest version 12.1 for a client about two weeks ago.
It is reliable. I would rate the stability an eight out of ten. It only crashes when not properly configured. If you know what you're doing, it just works. However, sometimes, we have to learn a few things the hard way. Compared to CockroachDB, it's a little behind in handling and managing load, which I prefer in Citus Data.
I would rate the scalability an eight out of ten because you have to do a bit more.
For our last client, we have around a million end users.
Previously, it was just PostgreSQL, and then we needed to scale it. The client made a switch because they had maxed out the scaled-up instance to the maximum available unit, and they were using about 70% of it. The only way was to scale out.
The initial setup is a bit more difficult compared to CockroachDB.
For one particular client, the deployment was quite fast due to existing infrastructure and scripts. However, starting from scratch might take longer.
I have seen an ROI. I've always been able to find a product with utility in running the system.
Citus Data has an open extension. The rest is on Azure cloud, which I also use. So, the pricing is normal for Postgres data on Azure cloud.
It is expensive, it is standard PostgreSQL pricing.
Overall, I would rate the solution an eight out of ten mostly because of the need for better rebalancing and help with stability.
If you're on PostgreSQL and need to scale, Citus Data is basically the only option right now, at least.
You can use Citus Data to write complex scripts. I like its version upgrades and disaster recovery as well.
Citus Data needs to improve its stability. Do not consider this product if you have the budget. It is still developing and has a lot of issues.
I have been using the product for seven months.
I rate the product's stability a seven out of ten.
I rate the tool's scalability a seven out of ten. My company has ten users.
Citus Data is an open-source product.
I rate the product a seven out of ten.
The database solution is the most valuable feature in Citus Data.
More features in monitoring and the reporting could make it better. It would be good if the solution offered a performance manager as well.
Using the solution, we have done multiple POCs over the last year. I haven't seen any crash on it. It's very stable.
The solution is very scalable. We haven't decided which solution we will ultimately use. As we are in the POC stage, I'm not sure if we will increase usage or not in the future.
Technical support is under Microsoft now and it is very good.
Compared with other databases, it's an easy initial setup. It's very straightforward to implement the solution. It took us two days to set up everything.
I handled the implementation myself.
We looked at NodeDB, but it was too complicated, so we decided against using it.
I use the on-premises version of the solution.
The solution is competitive with Mongo, MySQL, and maybe even Oracle. I find it a really great product.
We haven't tested the dashboard, but by and large, I find the product very useful. We haven't had any problems with it.
I would rate the solution nine out of ten.
