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Astra DB

Astra DB

Overview

What is Astra DB?

Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.

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Recent Reviews
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Reviewer Pros & Cons

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Pricing

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What is Astra DB?

Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.

Entry-level set up fee?

  • No setup fee
For the latest information on pricing, visithttps://www.datastax.com/products/datas…

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

DataStax Astra DB Vector Experience

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Building real-time apps fast and scaling without limits with DataStax

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Product Details

What is Astra DB?

DataStax Astra DB is a vector database for developers, that can be used to get Generative AI applications into production quickly. Astra DB gives users APIs, data pipelines, and a complete ecosystem integrations to build Gen AI applications on real-time data for more accurate AI that can be deployed in production. Built on Apache Cassandra, Astra DB is a vector database that can make vector updates immediately available to applications and scale to the largest real-time data and streaming workloads securely on any cloud.


According to DataStax, Astra DB is purpose-built to manage mixed workloads, including diverse data types like vectors, non-vectors, and streaming data, all while handling concurrent updates and queries with precision and efficiency. Built on Apache Cassandra it allows for simultaneous search and update on distributed data and streaming workloads with ultra-low latency. This helps developers to create more responsive, more accurate production Gen AI applications that reduce hallucinations.
AI Native JSON APIs also abstracts the complexity of indexing vectors, non-vectors and any data for Gen AI.

Astra DB Features

  • Supported: Multi-model
  • Supported: Multi-region
  • Supported: Change Data Capture (CDC) for Astra DB
  • Supported: Storage Attached Indexing (SAI)
  • Supported: Serverless

Astra DB Video

Vector Search on Astra DB

Astra DB Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo
Supported CountriesAMER, EMEA, APAC

Frequently Asked Questions

Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.

Amazon DynamoDB, MongoDB, and Azure Cosmos DB are common alternatives for Astra DB.

Reviewers rate Support Rating highest, with a score of 8.9.

The most common users of Astra DB are from Mid-sized Companies (51-1,000 employees).
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Comparisons

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Reviews and Ratings

(43)

Attribute Ratings

Reviews

(1-25 of 29)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
Overall, by providing a robust and scalable data platform that aligns with our technical and business needs, DataStax has been instrumental in helping us achieve key objectives around growth, customer experience, efficiency, innovation, and reliability. Their solution has been a key enabler of our success.
Matthew Hirst | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Seamless
The Astra DB team helped us migrate from our existing Cassandra cluster to Astra DB with no downtime.
The Ruby driver for Cassandra also works seamlessly with Astra DB - so it was easy to integrate with our Rails app.
The dashboards in the web console also make it easy to see the performance of the managed service and help identify issues.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Astra DB provides a developer-friendly environment with support for popular programming languages and development frameworks. It simplifies the process of building and maintaining databases, allowing developers to focus on application logic. Managing Astra DN becomes easy with all the features provided. The impact has been nothing but positive overall and will continue to be so, I suppose.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Astra DB's support for multi-region deployments simplifies the work of guaranteeing low-latency access and high availability for consumers all over the world for developers creating internationally dispersed applications. Astra DB provides SDKs and APIs for a variety of programming languages, allowing developers to interface with the database and incorporate it into their applications more easily.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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. Astra DB's support for multi-region deployments simplifies the work of guaranteeing low-latency access and high availability for consumers all over the world for developers creating internationally dispersed applications.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
First of all, Astra DB offers support on Cassandra as Cassandra is very much difficult to maintain. A mature, scalable repository with good support. The integration and support are top notch. Astra DB was really easy for our employees to learn and really simple to work with. Also the support from Astra DB customer service was very helpful.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Learning new things from the documentation such as working with Stargate API was interesting. The documentation is well written. Astra CLI makes it much easier. And one doesn't have to write a lot of commands since it does most of the work itself.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
The product's standard is very high and far exceeds that of Apache Cassandra's open source counterpart. As Astra DB is very smooth to operate, our employees learnt the tool real quick, and thus the working within our environment has become more efficient. The customer service always clears our doubt regarding things.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
As a developer using the commands in documentation are pretty easy to follow. Plus Connection of spark to Astra DB which allows the introduction to spark data frames does wonders for a developer or administrator.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
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 our team, Astra DB has simplified cloud-native Cassandra application development, it saves us quite a lot of time!
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Experience has been great, and the tools provided very much do their job as intended. Setup of databases is quick and painless, allowing us to get to building applications sooner without having to worry about provisioning on the manual cluster.
Emilio Figueroa Torres | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
It has an initial learning curve, and it's important to understand the Cassandra architecture and principles if you want to take the best from it. Also the connection could be challenging at the beginning, but it's because of the security standards. Once you add it to your toolbox, you will discover a lot of scenarios where it goes over other storage solutions.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
As a developer, my experience with AstraDB has been overwhelmingly positive. The platform's user-friendly interface and comprehensive documentation allowed me to quickly get started with creating my chatbot application. The API-first design and SDKs available in multiple programming languages made it easy to integrate AstraDB into my existing development workflow.The serverless architecture of AstraDB removed the need to manage infrastructure, enabling me to focus on the core functionality of my chatbot. This not only improved my productivity but also accelerated the overall development process. AstraDB's built-in security features, such as encryption and token-based authentication, ensured data protection without adding extra complexity to the development process.For teams managing developers, AstraDB can have a significant positive impact. The platform's scalability and performance capabilities can enhance team collaboration and efficiency, while its pay-as-you-go pricing model offers cost savings and flexibility. By reducing the time spent on database management, developers can allocate more resources to building and refining applications, ultimately driving business success.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
As the managing Cassandra platform provider, Astra DB has established itself as the market leader. The documentation and training materials alone are fantastic contributions. Astra DB has made a significant contribution to open source tooling, and their technical blog is fantastic. When launching a Cassandra-based cloud application, Astra DB Enterprise is exactly what you need. The service level and the integrations with Spark, Opscenter, and Hadoop make Astra DB worthwhile.
Rahul Singh | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
We ask anyone who is learning Cassandra to start with Astra. We publish many Gitpod / open source scenarios for our team members and clients to work with Astra as a starting point for different types of tasks such as Stream processing, data ops, ETL/ELT.

Having the ability to get people started without having to wait on anyone is a game changer. Additionally the team can be confident that the system they design can scale later when needed.
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