Amazon Relational Database Service (RDS) vs. Astra DB

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon RDS
Score 8.7 out of 10
N/A
Amazon Relational Database Service (Amazon RDS) is a database-as-a-service (DBaaS) from Amazon Web Services.N/A
Astra DB
Score 8.6 out of 10
N/A
Astra DB from DataStax is a vector database for developers that need to get accurate Generative AI applications into production, fast.N/A
Pricing
Amazon Relational Database Service (RDS)Astra DB
Editions & Modules
Amazon RDS for PostgreSQL
$0.24 ($0.48)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MariaDB
$0.25 ($0.50)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for MySQL
$0.29 ($0.58)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for Oracle
$0.482 ($0.964)
per hour, R5 Large (R5 Extra Large)
Amazon RDS for SQL Server
$1.02 ($1.52)
per hour, R5 Large (R5 Extra Large)
No answers on this topic
Offerings
Pricing Offerings
Amazon RDSAstra DB
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon Relational Database Service (RDS)Astra DB
Considered Both Products
Amazon RDS

No answer on this topic

Astra DB
Chose Astra DB
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 …
Features
Amazon Relational Database Service (RDS)Astra DB
Vector Database
Comparison of Vector Database features of Product A and Product B
Amazon Relational Database Service (RDS)
-
Ratings
Astra DB
8.0
12 Ratings
0% above category average
Vector Data Connection00 Ratings8.212 Ratings
Vector Data Editing00 Ratings8.56 Ratings
Attribute Management00 Ratings8.010 Ratings
Geospatial Analysis00 Ratings8.26 Ratings
Geometric Transformations00 Ratings8.06 Ratings
Vector Data Visualization00 Ratings7.67 Ratings
Coordinate Reference System Management:00 Ratings7.66 Ratings
Data Import/Export00 Ratings7.711 Ratings
Symbolization and Styling00 Ratings8.45 Ratings
Data Sharing and Collaboration00 Ratings7.69 Ratings
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User Ratings
Amazon Relational Database Service (RDS)Astra DB
Likelihood to Recommend
8.8
(131 ratings)
8.5
(46 ratings)
Likelihood to Renew
8.4
(5 ratings)
-
(0 ratings)
Usability
8.6
(8 ratings)
7.8
(4 ratings)
Availability
9.0
(1 ratings)
-
(0 ratings)
Performance
7.0
(1 ratings)
-
(0 ratings)
Support Rating
9.6
(13 ratings)
8.9
(4 ratings)
Online Training
10.0
(1 ratings)
-
(0 ratings)
Product Scalability
9.0
(1 ratings)
8.4
(44 ratings)
User Testimonials
Amazon Relational Database Service (RDS)Astra DB
Likelihood to Recommend
Amazon AWS
If your application needs a relational data store and uses other AWS services, AWS RDS is a no-brainer. It offers all the traditional database features, makes it a snap to set up, creates cross-region replication, has advanced security, built-in monitoring, and much more at a very good price. You can also set up streaming to a data lake using various other AWS services on your RDS.
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DataStax
We've been super happy with Astra DB. It's been extremely well-suited for our vector search needs as described in previous responses. With Astra DB’s high-performance vector search, Maester’s AI dynamically optimizes responses in real-time, adapting to new user interactions without requiring costly retraining cycles.
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Pros
Amazon AWS
  • Automated Database Management: We use it for streamlining routine tasks like software patching and database backups.
  • Scalability on Demand: we use it to handle traffic spikes, scaling both vertically and horizontally.
  • Database Engine Compatibility: It works amazingly with multiple database engines used by different departments within our organization including MySQL, PostgreSQL, SQL Server, and Oracle.
  • Monitoring: It covers our extensive monitoring and logging, and also has great compatibility with Amazon CloudWatch
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DataStax
  • We need to be able to process a lot of data (our biggest clients process hundreds of milions of transactions every month). However, it is not only the amount of data, it is also an unpredictable patterns with spikes occuring at different points of time - something athat Astra is great at.
  • Our processing needs to be extremaly fast. Some of our clients use our enrichment in a synchronous way, meaning that any delay in processing is holding up the whole transaction lifecycle and can have a major impact on the client. Astra is very fast.
  • A close collaboration with GCP makes our life very easy. All of our technology sits in Google Cloud, so having Astra in there makes it a no-brainer solution for us.
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Cons
Amazon AWS
  • It is a little difficult to configure and connect to an RDS instance. The integration with ECS can be made more seamless.
  • Exploring features within RDS is not very easy and intuitive. Either a human friendly documentation should be added or the User Interface be made intuitive so that people can explore and find features on their own.
  • There should be tools to analyze cost and minimize it according to the usage.
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DataStax
  • Need better fine-grained Security options.
  • The support team sometimes requires the escalate button pressed on tickets, to get timely responses. I will say, once the ticket is escalated, action is taken.
  • They require better documentation on the migration of data. The three primary methods for migrating large data volumes are bulk, Cassandra Data Migrator, and ZDM (Zero Downtime Migration Utility). Over time I have become very familiar will all three of these methods; however, through working with the Services team and the support team, it seemed like we were breaking new ground. I feel if the utilities were better documented and included some examples and/or use cases from large data migrations; this process would have been easier. One lesson learned is you likely need to migrate your application servers to the same cloud provider you host Astra on; otherwise, the latency is too large for latency-sensitive applications.
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Likelihood to Renew
Amazon AWS
We do renew our use of Amazon Relational Database Service. We don't have any problems faced with RDS in place. RDS has taken away lot of overhead of hosting database, managing the database and keeping a team just to manage database. Even the backup, security and recovery another overhead that has been taken away by RDS. So, we will keep on using RDS.
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DataStax
No answers on this topic
Usability
Amazon AWS
I've been using AWS Relational Database Services in several projects in different environments and from the AWS products, maybe this one together to EC2 are my favourite. They deliver what they promise. Reliable, fast, easy and with a fair price (in comparison to commercial products which have obscure license agreements).
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DataStax
It's a great product but suffers with counters. This isn't a deal breaker but lets down what is otherwise a good all round solution
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Support Rating
Amazon AWS
I have only had good experiences in working with AWS support. I will admit that my experience comes from the benefit of having a premium tier of support but even working with free-tier accounts I have not had problems getting help with AWS products when needed. And most often, the docs do a pretty good job of explaining how to operate a service so a quick spin through the docs has been useful in solving problems.
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DataStax
Their response time is fast, in case you do not contact them during business hours, they give a very good follow-up to your case. They also facilitate video calls if necessary for debugging.
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Online Training
Amazon AWS
the online training & digital content available on the web from AWS was having sufficient information to deploy and run the service
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DataStax
No answers on this topic
Alternatives Considered
Amazon AWS
Amazon Relational Database Service (RDS) stands out among similar products due to its seamless integration with other AWS services, automated backups, and multi-AZ deployments for high availability. Its support for various database engines, such as MySQL, PostgreSQL, and Oracle, provides flexibility. Additionally, RDS offers managed security features, including encryption and IAM integration, enhancing data protection. The pay-as-you-go pricing model makes it cost-effective. Overall, Amazon RDS excels in ease of use, scalability, and a comprehensive feature set, making it a top choice for organizations seeking a reliable and scalable managed relational database service in the cloud.
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DataStax
Graph, search, analytics, administration, developer tooling, and monitoring are all incorporated into a single platform by Astra DB. Mongo Db is a self-managed infrastructure. Astra DB has Wide column store and Mongo DB has Document store. The best thing is that Astra DB operates on Java while Mongo DB operates on C++
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Scalability
Amazon AWS
No answers on this topic
DataStax
We are well aware of the Cassandra architecture and familiar with the open source tooling that Datastax provides the industry (K8sSandra / Stargate) to scale Cassandra on Kubernetes.
Having prior knowledge of Cassandra / Kubernetes means we know that under the hood Astra is built on infinitely scalable technologies. We trust that the foundations that Astra is built on will scale so we know Astra will scale.
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Return on Investment
Amazon AWS
  • The overall cost increases, but we spect this and we can mitigate other risks.
  • Is easy to work from the cloud. Is reliable, but we keep our local solution as well where RDS works quite good.
  • RDS allow us to focurs on owr objetives instead of the other matters regarding databases.
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DataStax
  • Better uptime due to the managed service having no outages
  • Less technical debt because we don't need to worry about upgrading our Cassandra clusters
  • Lower cost on infrastructure as a whole
  • Quick and easy to integrate vector search into our tech stack
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ScreenShots

Amazon RDS Screenshots

Screenshot of A look inside the RDS console.