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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

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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 31)
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Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • DataStax provides a resilient backend platform that allows easy deployment across multiple clouds. This ensures high availability and flexibility.
  • Their solution delivers consistently fast performance even as user loads increase substantially. This enables smooth scaling without degradation.
  • The DataStax engineering team is highly skilled and provides excellent assistance with integration, optimization, and ongoing support. Their expertise was invaluable during onboarding and deployment.
  • The pay-as-you-go pricing model can sometimes make long-term costs hard to predict.
  • While DataStax integrates well with many common tools, expanding integration support for less common or emerging tools could increase appeal.
Matthew Hirst | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • It's very resilient and scalable, no downtime and no issues scaling up to meet our needs.
  • Low latency reads and writes
  • Cost effective - The on demand model worked out cheaper than running our own clusters
  • Great support for any of our questions or issues
  • It can be a little difficult to tell how many credits are used by each database by just seeing reads & writes.
  • Nothing else particularly, we haven't run into any real problems.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • High availability.
  • Cost optimization due to serverless model.
  • Reporting and Analysis becomes much easier
  • Query optimization by enhancing speed.
  • Data Migration into Astra DB can be simplified.
  • UI for management tools can be more friendly.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Astra DB supports multi-model databases, which allow you to deal with a variety of data types, such as document, key-value, tabular, and JSON-like data.
  • Through DataStax Insights, Astra DB has built-in monitoring and metrics, allowing you to keep a close check on the health and performance of your database and make data-driven adjustments.
  • Because Astra DB is a fully managed database service, DataStax handles typical database administration chores such as maintenance, backups, and scalability.
  • Astra DB might be difficult to understand for people who are unfamiliar with Apache Cassandra. Improving the initial experience for newcomers, as well as offering better documentation and lessons, might be advantageous.
  • The Astra DB ecosystem may be enhanced by expanding the ecosystem of plugins, integrations, and community-contributed solutions.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Astra DB is built for horizontal scalability, so you can easily scale your database to accommodate increasing demands.
  • Astra DB may be deployed across several regions, offering excellent availability and fault tolerance.
  • As enterprises increasingly demand real-time analytics and machine learning capabilities, improving Astra DB's interface with analytics and machine learning tools might be a priority.
  • The Astra DB ecosystem may be enhanced by expanding the ecosystem of plugins, integrations, and community-contributed solutions.
  • While Astra DB has numerous capabilities and versatility, it might be difficult for newbies, particularly those who are unfamiliar with Apache Cassandra.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Helps in harnessing real-time data for further services.
  • Astra DB supports CQL.
  • Suits well with high scalability demands.
  • Will be a bit difficult for someone who doesn't know CQL.
  • Complex queries will be a challenge to perform.
  • Will take some time to get used to if you're new to distributed systems.
September 28, 2023

Makes life a bit easy!

Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Handles volumes which it is made for, pretty decently
  • Makes maintaining Cassandra a piece of cake.
  • Makes learning for a newbie easier.
  • There must be a less time-consuming process to train people for AstraDB.
  • Price range can be made attractive.
  • Integration and tools can be made a little better.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Migrating from any other database is simplistic and well-supported.
  • Astra CLI is a blessing for everyone who has previously worked with CQL.
  • It provides a simplified sense of security with high scalability.
  • Requires getting used to for a newbie.
  • Pricing can be a bit less.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Data loader and bulk loader work as smooth as a knife in butter.
  • SDK and tools provided, such as Stargate API are easy to use.
  • Documentation is thoroughly made, the best one I have come across yet.
  • Customer service can get better.
  • Pricing can be lower on the basis of its factors.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
  • Makes migration from other platforms quite easy.
  • Documentation is very well written and easy to follow.
  • Maintenance of data becomes hassle free.
  • Some tools and APIs need optimization such as some of the Stargate APIs
  • Pricing can be on the lower side.
  • Connection with apache products other than spark.
Score 7 out of 10
Vetted Review
Verified User
Incentivized
  • Data management becomes easy.
  • Handles volumes well.
  • Migration of the data was not as difficult as it was supposed to be.
  • API features like LWT need optimization
  • Documentation could also be focused towards novice user.
  • Pricing should have been less or at par with the competition in the market.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Great documentation
  • Easy to use. If you've used a Cassandra database before, Astra will be second nature
  • Great customer support
  • For languages not officially supported, there is a sidecar application which will expose Astra as if it were a native Cassandra cluster
  • While there are libraries for many popular languages, it is a little rough hooking up an application written in a language not in the list. The ability is there, but docs for the sidecar are hard to find.
Emilio Figueroa Torres | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
  • Astra DB helps you to onboard really fast and guides you in your use-cases.
  • Astra DB provides very good documentation, SDKs and different options to connect.
  • Astra DB offers edge products and services to have the last features available for your team.
  • Astra DB can improve in their monitoring options.
  • Astra DB can improve in their cost management tools.
  • Astra DB could improve in providing easier tools and process to explore data at the first steps.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • It is very easy to manage and integrate
  • It has high availability and perfermance
  • this database is definitely value for money
  • You can rely upon it's top notch security
  • Expand the features linked to queries in the Cassandra workload.
  • Astra DB has a learning curve, which I think takes expertise to get through and impart to others.
  • More webinars and promotion, just like rivals.
Rahul Singh | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
  • Ready to go API in the form of REST/GraphQL/Document
  • Transactional access with CQL / Analytical access via Spark
  • Ability to automate with Devops tooling
  • UI for Modeling Tables / Editing Data
  • Low code data imports from external sources
  • NoCode / Lowcode integration to Zapier / Make
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