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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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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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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
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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
Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.
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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(43)Attribute Ratings
Reviews
(1-4 of 4)Companies can't remove reviews or game the system. Here's why
February 22, 2023
Astra DB makes my job easier
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 track of the most recent generated data and allows us to prevent files from being accidentally overwritten, thus losing previously generated information.
- Easy to use with python
- Good online support
- Good documentation
- Installing the python driver faster
- Better interface for connecting the different tables from the DB form the website
- Easy way to monitor the status and health of the DB
N/A
N/A
- It provides us scalability
- For small business or startups the free version meets the reading/writing operations
- Reachable
When I started using Astra DB, I did not have much knowledge regarding the use of databases, their management, and implementation in real cases. However, the good documentation they have allowed my learning curve to be quite fast. Also, the fact that their support team has immediate attention as a developer helps me a lot when I find issues that I can't overcome.
- PostgreSQL and Amazon Relational Database Service (RDS)
It's not possible to make a straightforward comparison between the other DB and Astra, mainly because Astra is based more in providing a service for managing larger chunks of data than a RDS. However, what I can say is that the configuration therefore implementation of Astra is 10 times more easier. There is no need to be an expert in databases to configure it and start playing around with it. While for the others it requires a little bit more of theoretical knowledge.
No, given the conditions of my company with the basic support, it was more than enough to overcome the issues found.
I was having problems connecting to my database, which led to sometimes my data not being successfully stored in the DB. One of the support agents followed up on my case very well, including video call meetings to fix the problem.
December 08, 2022
Your Apache Cassandra in the Cloud without hassle and tears
We are using it as our Apache Cassandra DBaaS storage for IoT project and Fleet Management. We looked the way how to move our Apache Cassandra DBs to the cloud with minimal infrastructure cost. Previously we used VDS services of our local providers for managing VMs instances with Apache Cassandra. It costed much for us. So for for private infrastructure we still use customers resources and for the cloud native and cloud friendly customers we advice Astra DB as DBaaS service.
- Cloud provider agnostic
- Scalable Apache Cassandra in the cloud
- Native APIs for interaction
- Easy of use in cloud environment
- Almost identical as Apache Cassandra
- Keyspace can't be changed after creation
- Regions of presence not huge
- Columns limit for the table exists
- Add additional drivers
N/A
N/A
- Highly reduced IaaS spending for the infrastructure
- Fully managed service
- Ease to use and manage in the cloud (plug and play)
- Fast development process
- Eliminates care of version management
Saves huge time and cost for self managing IaaS for the Apache Cassandra databases. Removed headaches for the DevOps team. Comparably cheaper in terms of usage cost for the new developers and starters. Free tier almost enough to start coding and hacking your MVPs. Good option for the startup teams to hands-on Apache Cassandra in the cloud managed environment.
We already used some NoSQL databases and of course Apache Cassandra itself. We
wanted cloud based and globally distributed Apache Cassandra as DBaaS service. Managing IaaS for this role is expensive and cumbersome in terms of managing yourself.
Free tier and pricing model of Astra DB was what exactly we need at the
beginning of our project. To evaluate power of Astra DB without any without any obligations and other credit card registration is very attractive.
November 29, 2022
A solid solution from start to finish
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.
Every page of data served to our clients combines multiple reads spanning user, product and interaction data. Without fast access we would lose clients!!
In addition we found that Astra is ideal for storing aggregated periodical reporting data for fast summary output.
In addition we found that Astra is ideal for storing aggregated periodical reporting data for fast summary output.
- Fast reads
- Well defined table structures
- Disciplined definition of data types
- Counters are flawed. Deletes are poorly handled.
- No way to easily remap indexes or change a field data type
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- Definitely helped create a disciplined process for design
- Slow start for developers with a sharp learning curve
We liked the definitive structure to schema data types and the independence from tying ourselves to a specific cloud provider. We also preferred a solution that is not a blackbox and we have sone understanding of what is happening under the hood.
November 22, 2022
Accelerate your cloud native development with Astra DB
We are evaluating AstaDB database for our IoT MVP product for the Facility Management of Assets in Industry 4.0/Oil and Gas industry in Kazakhstan. Side by side with standalone Apache Cassandra database for data storage to store locally we also implemented cloud storage based on AstraDB. We are still in early stage in our project and currently PoC progress at the one of our industrial customers going internal development and testing. We hope going GA for the next year if all customer needs covered.
- Free to use for our PoC
- Cloud provider agnostic
- Rich native data APIs
- Global presence: multiple data centers, availability zones and multi-region
- We found gRPC difficulties but we will hands on Stargate API gateway
- Some CQL commands are not supported in Astra DB
- Public access to database enabled by default
- PHP legacy driver
N/A
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- Free plan enough for development and reduces development costs
- Don't need to manage infrastructure for Apache Cassandra nodes
- Real-time data pipelines using CDC approach
- Amazon DynamoDB, Azure Cosmos DB and Scylla
Free plan of AstaDB was convenient for us to start development without initial cost spending. Free features comparably to DynamoDB, CosmosDB and Scylla are richer and efficient to start development.
5
Software as a Service for Facility Management of Assets for Industry 4.0 and Oil/Gas (subsoil users)
3
Strong skills in NoSQL databases and Apache Cassandra must have for people to support Astra DB.
- NoSQL database storage for IoT projects
- Multi-cloud managed Apache Cassandra service
- Scalable database for our Facility and Asset Management solution
- We combined 3D modeling, BIM and NoSQL database for our FM solution
- We offer On-premise and cloud FM solution based on DBaaS
- Our FM solution is cloud vendor agnostic solution to fulfill customers needs
- Scale current solutions for the cloud native apps
- Monolithic solutions to be re-designed for micro-services
- New solutions based on NoSQL architecture
Yes
We migrated our IaaS Apache Cassandra instances to the Astra DB cloud
- Price
- Product Features
- Product Usability
- Prior Experience with the Product
Free plan to start development evaluation very quickly
I think we would go the same way starting with "try before buy" and fulfill features we need
No. Overall we satisfied with current support scheme for now.
No
We get in touch with support specialist on one issue and was able to solve another issue we would face with our chosen schema.