Astra DB

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 scaled up users. Performance remained consistently fast even with substantial user growth, thanks to DataStax's low latency capabilities.Onboarding with the DataStax team was straightforward. Their engineering expertise allowed simple integration for our developers. Having their support significantly reduced deployment stress and provided valuable learning opportunities.Additionally, DataStax integrated well with our existing tools, avoiding a full stack rebuild. Their pay-as-you-go pricing delivered cost-effective scaling by eliminating the overhead of managing our own servers.In summary, DataStax provided the robust, flexible solution essential for launching ChatStack on time and on budget. Their technology and engineering knowledge were instrumental in delivering our product within constraints. We highly recommend DataStax to engineering teams needing a reliable, scalable backend platform. Our developers were satisfied with the seamless integration into our stack.

We use Astra DB to power core components of our application including our Feed, Chat & AI Vector search.
All our user feeds and chat data and stored and loaded from Astra DB in real time.

We connected Astra DB as a vector database to our backend. The main use case for it is that we store the embeddings of our main data entities. In Restworld, we have something similar to a marketplace made of job opportunities and job seekers. We use text embedding models to create vectors out of them and we exploit Astra DB vector database capabilities to power our recommendation and personalization algorithms.

We use Astra DB as our primary vector database. It is used to store vector embeddings for unstructured data as well as other business metrics that can be fetched with a quick semantic search.

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 use case when downtime is not acceptable.

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. Astra DB's importance is seen in its built-in high availability and disaster recovery capabilities via multi-region deployments.

Astra DB is built to scale seamlessly. We simply scale our database up or down to match changes in the workload of your application. It enables multi-region deployments, which lets us duplicate our data across multiple geographic areas for high availability and disaster recovery. It has strong security features like as encryption at rest and in transit, role-based access control (RBAC), and interface with authentication systems such as LDAP and OAuth.

Astra DB is a versatile database service built on Apache Cassandra. Someone who has knowledge of Cassandra will have a smoother experience with Astra DB. If you know Cassandra in and out, Astra DB should be the choice from all of the fully-managed, cloud database services out in the market. The interface on this one is much simpler though.

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. We have been working with Astra DB since the past few years and it has been of great help.

Astra DB is used as one of the databases for developing our product. Since we at Edii have been working with CQL, it wasn't difficult to onboard everyone on the team. Astra DB helps us manage data easily which in return helps us develop a better application.

We use Astra DB as our main database provider. It has helped us keeping our data secured and organized. The working environment has become more efficient due to this. This tool is highly recommended for easy to manage database uses. It has definitely helped us combat our unorganized data structure.

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. Astra Db is provided with very efficient tools. Makes working with data uncomplicated.

Astra DB is used as the primary source of data operations at Edii. Provides a high scale solution for all the data needs and handles queries very well.

Astra DB handles all of the databases queries our product generates. It is the backbone of our product. Every data operation is done through Astra DB. All in all relief for developers.

Astra DB has helped us creating a secure database for our clientele information. It has also helped in integrating and organizing employees. It counters the problem of cluttering data untidily. Our database has become more organized now, would definitely recommend others to use Astra DB as it is a very easy to use database.

We run an advertising company with thousands of websites. A lot of data is generated from each of the auctions for each ad unit on all of those websites, and we need fast response times to make near-instant bidding decisions for those auctions.
AstraDB helps store all of that data in a fast, efficient, and easy way to use.

We use it as a data lake for some of our products and as a resource for research used by our Data team.

I wanted to quick start my crypto trading bot quickly and for free.
AstraDB allowed me to have something quick and running in a few minutes.
I could focus on my main algorithm which was already complex enough with a lot of price streams coming from exchanges.
My order book was simple enough to be held in AstraDB

We are using Astra DB for our mission critical database. We use to host our own Cassandra database but were happy to learn, that somebody can do that for us. Our database comprises of millions of users and their data from the game. The database needs to scale quickly, be reliable and fast. The entertainment sector is very time-sensitive.

It is a simple tool and really great for managing our data. The integration was smooth. 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. Our business has improved training and organization with the help of DATASTAX. We have greatly improved as a team thanks to its assistance in integrating our departments and personnel, particularly in terms of scalability. It is easy to manage and has high performance. The customer service is exceptional.

Supplant is collecting data from sensors in the field. A lot of data from lots of sensors.
This data is processed in near real-time to provide the farmers' insights and proactive recommendations.
In addition, AI models utilize the data for complex analysis, anomalies and predictions.
Astra DB is used for:
1. big data solution for storing all raw data
2. real-time data processing per unit (client)
3. multi-tier data processing - from raw data to daily accumulations, and also for storing AI features and predictions.

I use Astra DB to store actual & forecasted energy consumption, aggregation & analytical calculations, and data quality validations.

At at our clients we use it to reduce overhead labor costs related to managing servers and APIs. It’s a good replacement for on premise / self managed Cassandra only work loads but also allows new use cases with GraphQL/REST end points. Some of the specific use cases are for clients running global multi tenant SaaS applications that have several regions and uses around the world. With Astra the management of infrastructure becomes a moot point.

Astra DB used for region replication, efficient scaling scale out using serverless architecture and storing our business data efficiently. We also explored their REST API and Document API