Build real-time, generative AI apps

It worked out to be more scalable and cost affective than the traditional relational databases. 

In our case, It's been an easy way to implement Gen AI - based applications. For the developers it is very easy to integrate, either through the drivers or through the api, using plain CQL. All the hosting and management is left to Astra DB itself. 

We utilize Astra DB because it is critical for applications that demand continuous horizontal scalability. It can easily handle increasing workloads and is well-suited for applications with quickly expanding data quantities and traffic. 

Because Astra DB is a fully managed database service, our developers may delegate normal database maintenance activities to DataStax, such as provisioning, patching, backups, and scaling. This allows developers to concentrate on code rather than infrastructure maintenance. 

We use Astra DB to scale our databases horizontally to handle large amounts of data and high-traffic loads. High scalability with equally high performance provides smooth operations to be carried out. Astra's DB built-in replication and fault tolerance ensures its high availability which is the main... 

We at edii use astra with ease as it provides amazing cassandra features which makes all of our lives easy. We have solved scalability issues over the period of time of its use. Safe to say the database operations are simpler now. 

Astra DB has been a phenomenal tool, we have gained an organized workplace due to it. The data structure is so well maintained, and our employees rely working on Astra DB on daily basis. Its simple to use nature and cost effectiveness is an eye catcher. 

It has helped us keeping our data secured and organized. The working environment has become more efficient due to this. 

The best part about using Astra DB is that the integration and support is really smooth. It's hard to find such a pre-packaged solution that includes database drivers for almost every language you need to write in. 

For usage that can quickly go up, and perhaps even down again, Astra DB is very well suited. That is why Internet applications that a truly mass-market, like games, should consider such a database. 

We know Astra is built on Cassandra / Kubernetes / Stargate and can work on any cloud. The competitors we reviewed are cloud specific and create a lock in. We also have the option to run Cassandra / Stargate ourselves if we wanted to. The competitors don’t give that option. 

Astra DB helps us manage data easily which in return helps us develop a better application. 

About Astra DB, for us the decision-making factor was having a serverless solution and with the latest Cassandra version and features, additionally it provides a rich set of alternatives to connect from your services. 

Astra Db is used in creating databases with minimum time spent. Easy to set up and use. Solves all of our data problems in one place. 

We found AstraDB overall usability quite easy and well documented indeed. Handy documentation and example codes makes beginner to jump-start quickly. 

Astra sits at the centre of our core business. We need a distributed database with near instantaneous reads and confidence in what is being served. 

Astra DB abstracted the entire infrastructure part so that our developers could focus on the AI application. We did not need to attend trainings and conferences about the internals of vector databases. They just work. Overall, it made the experience of writing a RAG chatbot very comfortable. 

We have used Astra DB as our database for university class. During the semester we had multiple assignments that required us to make multiple data manipulation using many read and write calls to the db. We had no issue and the performance was satisfactory. I would reccomend Astra DB to anyone who wa... 

When our engineering team started developing ChatStack, we needed a backend solution that could meet all our requirements within our budget constraints. DataStax was the right fit. Their platform enabled seamless deployment across multiple clouds, ensuring ChatStack would operate smoothly as we scal... 

As a developer, working with Astra has been very easy and intuitive. It has helped me build and iterate faster. As a manager, it has helped me make sure that my team has the best and most reliable tools to build with. 

I selected AstraDB for its exceptional scalability, performance, and serverless capabilities. These features aligned perfectly with the requirements of my chatbot application and have proven to be a great choice for handling large amounts of user messages and chatbot responses. 

It has simplified our data storing process and data security is top-notch. It is fast and has reduced deployment time, definitely value for money. 

We use Astra DB for storing big chunks of data. Previously, we were storing this data as files and need to keep local copies when the data was modified or updated. By using this product, we were able to reduce the amount of usage of our cloud storage system. It also gives us the capability to keep t... 

Astra is great for when you need a quick and affordable Cassandra cluster with zero maintenance overhead. Setup is easy, and you can get running in minutes. Response times across the globe are quick. 

Astra serverless architecture scales automatically behind the scene without any manual intervention 

The best part about the service is the documentation which makes performing a task easy for a developer. If you're new to cassandra or new to database, Astra DB has it all covered. 

Astra DB is an almost zero-friction drop-in replacement for self-managed Cassandra - a very good option for developers looking for a serverless NoSQL database. 

I think it's defenietly the best SaaS solution for Cassandra. I was exploring the market and couldn't find anything better. 

As the business grows, we no longer need to be concerned with adding new nodes to the cluster prior to rapid growth periods, as Astra looks after growth, operational support, and backups on our behalf. My experience thus far has been Astra is a more robust cluster than we had on-premise. 

Saves huge time and cost for self managing IaaS for the Apache Cassandra databases. Removed headaches for the DevOps team.