Silverlake Axis has a core banking and loan product called SILK, used by most banks in Southeast Asia, like in Malaysia, Singapore, and Thailand. The new product I'm working on, Mobius, is a replacement for SILK, which runs on a mainframe. Mobius uses TiDB, along with Java and other frameworks.
TiDB Cloud
PingCAPReviews from AWS customer
0 AWS reviews
-
5 star0
-
4 star0
-
3 star0
-
2 star0
-
1 star0
External reviews
49 reviews
from
and
External reviews are not included in the AWS star rating for the product.
TiDB is MySQL-compatible and solves the problem of scaling up large MySQL instances.
What do you like best about the product?
TiDB solves the issue of MySQL’s large single instances being unable to scale up.
TiDB provides a relatively convenient way to scale up and down.
TiDB provides a relatively convenient way to scale up and down.
What do you dislike about the product?
TiDB is a bit more expensive.
TiDB requires powerful hardware.
TiDB requires powerful hardware.
What problems is the product solving and how is that benefiting you?
TiDB leverages a distributed architecture to solve the problem of slow scaling with single-instance MySQL, and delivers superior performance in most scenarios.
TiDB genuine review
What do you like best about the product?
There are many things that I like about TiDB, but what tops them all is certainly versatility. This is an attribute where it excels-from processing large transaction loads to real-time analytics. The accompanying SQL queries make it rather intuitive for MySQL-knowledgeable teams, besides strong consistency and reliability.
What do you dislike about the product?
TiDB's weakness, in my opinion, is its excessive time in processing large data sets against some of its competitors like Dremio. Handling infrastructure costs is also on the higher side.
What problems is the product solving and how is that benefiting you?
We use for Hybrid Transactional and Analytical Processing
TiDB is a good distributed database
What do you like best about the product?
TiDB supports horizontal scalability and it can handle large single table without sharding manually. It is highly compatible with MySQL protocols, almost no need to do the application changes.
What do you dislike about the product?
Continuous improvement in product stability is essential.
What problems is the product solving and how is that benefiting you?
TiDB is compatible with MySQL ecosystem, we do not need to change the application in front.
TiDB is enabling critical online services and real-time data analytics with its high performance.
Native high-availablity arichitecture thta supports the disaster recovery business needs.
TiDB is enabling critical online services and real-time data analytics with its high performance.
Native high-availablity arichitecture thta supports the disaster recovery business needs.
A fully managed DBaaS with cost effective
What do you like best about the product?
1. It is a fully managed database as a service running on AWS, cost saving for operation and management.
2. On-demand expansion nodes for peak traffic.
3. Mysql ecosystem compatibility.
4. supports processing both TP and AP workloads.
2. On-demand expansion nodes for peak traffic.
3. Mysql ecosystem compatibility.
4. supports processing both TP and AP workloads.
What do you dislike about the product?
1. Sometimes it may causes higher resource consumption for smaller workloads scenario.
2. Currently does not support azure.
2. Currently does not support azure.
What problems is the product solving and how is that benefiting you?
The previous database on AWS can not scale for large volumes of data. By migrated to TiDB Cloud, we can address the performance challenges and scaling requirements. And TiFlash can run the realtime analytics based on TP data, which benefited for our business agility and reduced the operational costs.
Great choice of DB if you need strong consistency, and scales.
What do you like best about the product?
DB is relatively easy to manage and standup. Builtin toolings are great for debugging and monitoring. Best of all the engagement with the team via thier community slack is awesome
What do you dislike about the product?
The dependency of TiUp of the builtin admin dashboard.
What problems is the product solving and how is that benefiting you?
a strongly consistent DB that serves secondary index lookup use case
TiDB Streamlines Large Data and Heavy Queries
What do you like best about the product?
By TiDB's navtive HA with multiple replicas and good read/write performance, it smoothly addressed the challenges of large data volumes and heavy queries, notably reducing the query time and improving overall efficiency.
What do you dislike about the product?
Some complex SQL executions may lead to OOM issues. The stability needs to enhance to make sure it does not impact cluster operations.
What problems is the product solving and how is that benefiting you?
As we launched a new data service platform on cloud, we sought a distributed database solution, following a successful PoC process we confidently selected TiDB to support the new data services.
Best for serverless computing
What do you like best about the product?
It’s super easy to migrate from MySQL, and I love the ability to scale horizontally when needed. The built-in high availability and real-time analytics are huge benefits too.
What do you dislike about the product?
Native Development in Go Lang. I think JAVA would have been better.
TiFlash testing performance is not good enough, and it requies much higher hardware resource.
Free version has limited capabilities
TiFlash testing performance is not good enough, and it requies much higher hardware resource.
Free version has limited capabilities
What problems is the product solving and how is that benefiting you?
TiDB helps us handle big traffic spikes without breaking a sweat. It’s great for scaling out without all the hassle of sharding, and it’s saved us both time and money by simplifying our data management.
With TiDB distributed database, we have built a reliable, flexible and scalable data platform.
With TiDB distributed database, we have built a reliable, flexible and scalable data platform.
Open source, uses a distributed log and is based on a distributed system but doesn't support functions and procedures, which Oracle and other databases do
What is our primary use case?
How has it helped my organization?
What is most valuable?
TiDB selections are fast, and it handles collections and solutions well. Vertical and horizontal scaling are also good features.
Additionally, it uses a distributed log and is based on a distributed system, which many customers like. It is also open source and free, which is another major advantage of this product.
What needs improvement?
While using TiDB Cloud, I noticed things I don't like as a developer. For instance, it doesn't support functions and procedures, which Oracle and other databases do. This means that for table-to-table operations, like data manipulation and functionality, I need to take that data to the application side, process it manually, and then re-insert it.
Oracle and other databases have functions and procedures to handle this within the database itself. This is a key feature that I, as a developer, would like to see in TiDB Cloud.
We are implementing our product for a major bank in Malaysia and setting up a disaster recovery environment. The client requires the ability to replicate auto-increment sequences from the production environment to the disaster recovery environment.
This is not currently possible. We had a call with TiDB, and they said this feature is not available. They advised us to handle the auto-increment indexes from the application side. This means we are doing most things from the application side, which is a challenge we face with TiDB.
For how long have I used the solution?
I've been using it for one year for a project at a product-based company named Silverlake Axis.
What do I think about the stability of the solution?
I've never seen downtime with this product. I would rate the stability an eight out of ten.
What do I think about the scalability of the solution?
It's scalable. We can scale it both vertically and horizontally. It's very good that way.
I would rate the scalability an eight out of ten.
How are customer service and support?
The technical support team is responsive. Whenever we have a query or something related to infrastructure, they come to the meeting and try to resolve our issue.
How would you rate customer service and support?
Positive
What's my experience with pricing, setup cost, and licensing?
It's open source.
What other advice do I have?
Overall, I would rate it a seven out of ten.
Because it is open source, I can recommend it to those who are looking for a cheap product and don't want to invest heavily in a database.
However, if they use TiDB, they need to plan their development so that most of the logic is written on the application side, as TiDB does not support features like functions and procedures. If they are comfortable with that approach, then it's fine.
Helps to collect and analyze metrics and is useful for monitoring user engagement
What is our primary use case?
We use an open-source tool called Prometheus. It is an available offering with extensive documentation. The primary purpose of using a time series database like Prometheus is to collect metrics of various activities. These activities can be on the user side, infrastructure side, or behind the scenes where the software is running.
There is a wide variety of use cases for time series databases, mainly focused on collecting and analyzing metrics. For example, you might want to track how many active users log into your product over different periods—minutes, hours, days, weeks, or months. This data can help you understand user behavior and activity trends.
Time series databases record data points over time, allowing you to recall past data or visualize current activity. This is useful for monitoring user engagement, understanding the geographic distribution of your user base, and many other metrics.
We use Prometheus for collecting metrics and Grafana for visualizing them. Grafana allows us to create real-time charts and graphs that display how data changes over time. For example, if you are running an e-commerce site, you might see increased user activity in the evenings when people are more likely to shop.
By combining Prometheus with Grafana, we can track events such as payment initiations on an e-commerce site. Prometheus records the events, and Grafana visualizes them, showing trends and spikes in user activity
How has it helped my organization?
Understanding the use of a product and its impact across various areas is essential. For example, if you want to analyze a downward trend in sales, TiDB Cloud can help identify the factors affecting user behavior. It provides valuable insights into what is going on and why. While it can be a broad topic with many technical details, TiDB Cloud offers a comprehensive solution to understand these metrics and trends effectively.
What is most valuable?
TiDB Cloud has a broader scope that offers multiple services. It can be compared to major cloud providers like AWS, Microsoft Azure, and GCP. Just as these providers offer various services under the umbrella of their cloud platforms, TiDB Cloud also has multiple offerings. For instance, it includes tools like Prometheus and Grafana. TiDB Cloud can be seen as a domain that encompasses various tools and services, making it similar to how AWS, GCP, and Azure operate in the cloud space. These tools are widely recognized and commonly used for managing and tracking data events over time.
What needs improvement?
If you are using a product managed by a cloud provider, such as AWS or Google Cloud, you benefit from various management tools. For instance, AWS offers CloudWatch for tracking metrics, while Google Cloud provides Time Series Insights. These tools are managed by the cloud providers. As an end user, you primarily need to pay for the service, and the cloud provider handles most of the management tasks.
If you choose to use open-source tools like Prometheus, you will need to manage them yourself. It's a trade-off between convenience and cost. Opting for a managed service means you pay more but have less management overhead. On the other hand, using open-source solutions can reduce costs but requires you to handle the entire management of the infrastructure and database, such as ensuring uptime and provisioning resources. TiDB Cloud offers a reliable, managed solution that ensures availability and performance without the hassle of self-management.
What do I think about the scalability of the solution?
I never really had an issue since we managed the database ourselves. We had many alerts, monitoring systems, and processes to handle everything, including deeper analytics. Many key editing tasks were challenging, but as you progress, you understand at what stage to handle them so things work properly. However, if you're working on a much larger scale and managing the infrastructure of a time series database, it becomes difficult.
How are customer service and support?
Technical support for TiDB Cloud is actually quite good. Since it is an open-source tool, we have extensive documentation available on the internet and a supportive community you can reach out to. If you choose a cloud-hosted provider, they have a tech team and a support team that responds quickly and manages any issues that arise while you're working. As an open-source tool, TiDB Cloud has comprehensive documentation with answers to almost everything.
How was the initial setup?
If it's self-hosted, the initial setup can indeed be a complex challenge. As you continue to maintain it, managing it becomes slightly easier. On the other hand, using a cloud provider might offer additional benefits compared to using an on-premise solution
What other advice do I have?
There are a few pitfalls and some complexity, but overall it's highly recommended. It's particularly useful for tracing the applications and use cases of complex data.
I recommend the solution. The advice is to use TiDB Cloud for any product or evaluate it based on your use cases. Consider what is important for you: whether you can manage it yourself or prefer to delegate those efforts to your provider, who will handle things for you. TiDB Cloud is powerful for connecting your metrics to understand behavior, both on the product side and the insight engineering side. Additionally, TiDB Cloud is useful for identifying issues if something goes wrong.
Overall, I rate the solution a nine out of ten.
showing 41 - 49