

Find out in this report how the two Database as a Service (DBaaS) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
It offers at least 25 percent cost savings compared to maintaining on-premises databases.
Now, we use embedded PostgreSQL vectors, which will undoubtedly reduce the TCO by using a much more cost-effective solution.
We've reduced our total ownership cost because we are not spending on expensive SQL server licenses.
Before, the team had to maintain complex sharding logic, but after TiDB Cloud, it was a simple architecture with automatic sharding.
I see a return on investment with TiDB Cloud as we reduce the time spent on maintaining and monitoring since everything is automated, including the auto-scaling feature when large workloads arise.
Once we open a support case, we have people engaged within about 20 minutes, especially for a Sev 1 issue.
On a scale from one to ten, I rate customer service and technical support a nine because they are quick in responding and in working with me to rectify any issues we come across.
The documentation and training we've received through Microsoft Learn on how to migrate, deploy, and manage the solution is exceptional.
When I submitted bug reports, the community provided solutions within three business days.
I would rate the customer support a ten.
There was 24/7 support available with quick response times and dedicated support engineers.
We do not have to buy everything and build it. It is already there.
However, we can see how well it scales after we deploy it for some large enterprise customers or big government organizations.
The scaling options with FlexServer provide us with the flexibility we need based on application complexity.
Query speed and latency for OLTP is typically a few milliseconds, and it can handle hundreds of thousands of QPS.
TiDB Cloud is a very good choice when you are handling a massive set of data and also want high performance, easy scaling, and high availability.
The scalability of TiDB Cloud is automatically configured, allowing it to scale out when workloads increase and automatically scale in when workloads decrease.
It is the go-to database if seeking performance and capacity.
I have not experienced any downtime, crashes, or performance issues; it has been very stable.
There is a stability issue where, if the database usage peaks quickly, it may crash and require intervention to restore functionality.
TiDB Cloud is considered stable and production-grade when deployed correctly.
The performance of TiDB Cloud is very good under heavy workloads and spikes in traffic.
TiDB Cloud is stable based on our deployments.
It does not presently support knowledge graph functionalities as Neo4j does.
Azure Database for PostgreSQL can be improved by allowing quicker scaling without blips.
I believe there could be improvements in the mirroring part and Change Data Capture (CDC).
If you do not have an option to have a replication from MySQL to TiDB, you can go ahead and simply use TiDB Cloud because it is far more efficient than maintaining TiDB on-premises.
TiDB Cloud would benefit from better real-time query debugging tools that can clearly explain why a distributed query is slow and suggest optimizations automatically.
Use TiFlash replicas for heavy analytic workloads.
We've reduced costs by 60 percent compared to maintaining on-premises solutions.
We chose it because it is more cost-effective than Microsoft SQL.
Once you are comfortable and ready to make some commitments, you get about 30 percent saving if you are going with one-year or three-year reservation cost.
The main pricing models are that TiDB Cloud itself is free, and you pay for infrastructure and storage.
TiDB Cloud's pricing is generally flexible and usage-based, which works well for us because we could scale costs with workload.
I do not know how TiDB is with vector tables, but I know they are somewhat in vogue right now thanks to the AI boom.
My takeaway as a CTO is that they're comfortable with the security posture, the features, the observability, alerts, and now it integrates into the rest of the Azure landscape.
The query analyzers help me find out what's happening in each of the queries.
If a database has any task that has been interrupted or any connection issue, it will alert LogicMonitor, and we have a centralized panel for all the alerts.
The ability to reuse information across documents helps my team as it saves time and reduces errors because we do not have to rewrite the same information anymore.
You can scale TiDB Cloud simply by adding more nodes with no manual sharding.
The best feature TiDB Cloud offers is that whenever we want to scale up or scale out our database, it is very simple—just a simple click, and it will scale out automatically.
| Product | Mindshare (%) |
|---|---|
| Azure Database for PostgreSQL | 3.8% |
| TiDB Cloud | 2.2% |
| Other | 94.0% |


| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 4 |
| Large Enterprise | 16 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
Azure Database for PostgreSQL offers efficient management, robust networking, and seamless Microsoft integration. Known for its strong performance and high satisfaction in enterprise settings, it provides operational efficiency, security, and monitoring.
With features that facilitate Azure integration, easy configuration, and AI integration, Azure Database for PostgreSQL serves as a valuable choice for businesses requiring operational efficiency and cost-effectiveness. Users benefit from powerful vector capabilities, seamless Microsoft service integration, straightforward management, and user authentication ensuring high satisfaction. Easy optimization, query analysis, and backup operations make it suitable for varied enterprise applications. However, improvements in flexible scaling, cost-effectiveness of monitoring tools, and enhanced integration with Azure OpenAI would enhance its capabilities further.
What Are the Key Features of Azure Database for PostgreSQL?Industries such as healthcare, retail, and finance leverage Azure Database for PostgreSQL for backend solutions, incident reporting, and public information sharing. Managed service providers utilize its strong performance for client needs, while administrators use it for applications like ControlM. Its flexibility supports containerized applications and disaster recovery, ensuring compatibility with diverse environments.
TiDB Cloud offers scalable MySQL compatibility with high availability and hybrid processing capabilities. Its modern infrastructure supports elastic scaling and distributed systems, enhancing cloud-native database management.
TiDB Cloud provides horizontal scalability, seamless integration with Prometheus and Grafana, and features automated partitioning and JSON functionality. A reliable option for e-commerce, financial systems, and more, it manages concurrency challenges and supports real-time analytics, though improvement in TiFlash and SQL optimizations is needed. Users appreciate the cost efficiency and AI features, but some desire more comprehensive error documentation.
What are the key features of TiDB Cloud?Used widely in industries such as e-commerce, finance, and transportation, TiDB Cloud supports scalable database development and real-time analytics. By incorporating tools like Grafana and Prometheus, it aids in inventory tracking, user activity oversight, and optimizing analytics dashboards across diverse environments.
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