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.
Managed, reliable and cost effective
All our user feeds and chat data …
Astra DB and vector databases
Astra DB will help you break into GenAI and give you a technical advantage.
Unleash the Power of Scalable, Globally Distributed Data Management!
We trust Astra DB for Our Storage Needs!
The Best Supportive Tool is Astra DB!
Basically Cassandra in Cloud!
Makes life a bit easy!
The finest tool for all your database needs!
Get database with less maintenance at a competitive pricing.
The database tool you must have!
One of the best in the market right now!
Astra DB is the only thing you need!
Migration or starting new, Astra DB has got you covered.
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Pricing
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
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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DataStax Astra DB Vector Experience
Building real-time apps fast and scaling without limits with DataStax
Product Details
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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
Astra DB Competitors
Astra DB Technical Details
Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Unspecified |
Mobile Application | No |
Supported Countries | AMER, EMEA, APAC |
Frequently Asked Questions
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Reviews and Ratings
(43)Attribute Ratings
Reviews
(1-25 of 31)- 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.
Managed, reliable and cost effective
All our user feeds and chat data and stored and loaded from Astra DB in real time.
- 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.
Even if you aren't using Cassandra yet, if you have workloads with very high writes that need low latency, it's a great choice.
Any no-sql key-value or wide column workloads.
It's also great for vector search.
It's not great for very relational data models with a lot of joins, etc.
Astra DB and vector databases
- Scalability
- Flexibility
- Enterprise support
- Simplification of API choices
- Retrieval augmented generation. It is best combined with LLM solutions for generative AI applications
- Recommendation algorithms. Whenever you need to show personalized content to your users, using vector search is an easy and effective solution to implement
- Semantic search. Similar to previous, just with a different vie angle to your data.
- Semantic search.
- MMR
- Langhian integration.
- Text search
- 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.
We trust Astra DB for Our Storage Needs!
- 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.
The Best Supportive Tool is Astra DB!
- 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.
Basically Cassandra in Cloud!
- 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.
Makes life a bit easy!
- 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.
The finest tool for all your database needs!
- Firstly, its an open source Apache Cassandra, which is a huge gain.
- It decentralizes the data.
- Easy Installation by our employees.
- If a user guide was provided.
- Integration with other Apache products.
- 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.
The database tool you must have!
- The installation is pretty easy
- Decentralization of data
- Best-in-class Apache distribution
- Needed integration with other apache products
- It could be a little cost saving
One of the best in the market right now!
- 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.
Astra DB is the only thing you need!
- 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.
Migration or starting new, Astra DB has got you covered.
- 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.
- Outstanding distributing of Apache
- Keeps track of data
- Customer and Support service is fabulous
- Needs more tutorials or better documentation
- Need improved admin tools
- It can get a little time consuming
AstraDB helps store all of that data in a fast, efficient, and easy way to use.
- 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.
Astra does limit the amount of control you have over your cluster and sharding. (not a ton, but more restrictive than running your own cluster, as expected.) So if you really need fine-tuned control, Astra may not be the best fit. That being said, the point of having a managed cluster is that you do not need to perform all of that management yourself.
Solution on the edge and at scale
- 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.
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
- Simple storage
- Always up
- Free
- Websocket and realtime streams
- Simplicity of web sockets
- The community is too small for now
- More working examples
A great wingman for fast-flying applications
- Scale up and down
- Fast
- Reliable
- The payment via pre-purchased credits is a bit counter-intuitive, but obviously just a small thing
Best way to modify and store your database
- 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.
technology based on real time data processing that aid world's food production and water scarcity crisis
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.
- quick access to data (read and write)
- fully managed solution with excellent support
- high scalability
- backup and restore
- crash recovery
- dashboard security (MFA)
Datastax Astra - Instant Serverless Cassandra
- Cassandra as a service without any operational efforts
- Scale to zero for DEV DBs
- Increased transparency on rate limits/guard rails
- Better cost analysis reports
- 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
It is not for databases that require Joins or analytics. Though joins and aggregate operations can be done in SparkSQL or Presto / Trino it is not going to be as fast. It is not for that. There are better relational databases for that.
Good Managed service for cassandra DB
- scales to fit your needs
- cost saving on infrastructure
- prevent application downtime
- realtime data ingestion from different data sources