Amazon DynamoDB vs DataStax

Amazon DynamoDB

DynamoDB is great for two cases. The first is for services that do not experience high loads or demand high availability. DynamoDB is inexpensive, and it provides great developer velocity. The second is for applications that demand high performance, have well-understood requirements, and a narrow range of queries.

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Verified User

Engineer in Engineering

Research Company, 11-50 employees

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DataStax

The best scenarios where to use it are when you need a really high write rate and you know the queries you are going to execute in advance. If you don't know how you will access the data in advance it is better to look at other solutions.

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Verified User

Engineer in Engineering

Financial Services Company, 1001-5000 employees

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Feature Rating Comparison

Amazon DynamoDB

7.9

DataStax

—

Performance

8.0

—

Availability

8.4

—

Concurrency

9.0

—

Security

8.7

—

Scalability

9.7

—

Data model flexibility

4.0

—

Deployment model flexibility

7.3

—

Pros

Fast retrieval
Auto scaling to control costs
Query and scanning allow for different use cases

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Adam Lauer

Software Engineer

Earth NetworksEnvironmental Services, 51-200 employees

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Scalability: it provides near linear scalability being based on open source Cassandra
Opscenter: it is a powerful and complete tool for monitoring
You can use Spark for analytics workloads

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Verified User

Engineer in Engineering

Financial Services Company, 1001-5000 employees

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Cons

The document oriented features are just starting out, and we'd love to see them develop to match MongoDB features.
Running out of provisioned throughput results in error responses. Better options for automatic scaling.

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Verified User

C-Level Executive in Engineering

Information Technology and Services Company, 11-50 employees

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Requires investment on hardware
Initial setup could be cumbersome
You need to be careful to use it only in the right context

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Verified User

Engineer in Engineering

Financial Services Company, 1001-5000 employees

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Likelihood to Renew

Amazon DynamoDB6.9

Based on 13 answers

Many of our projects are too small to fully appreciate the value of Amazon DynamoDB. I would be enthusiastic if I felt the use case warranted Amazon DynamoDB, otherwise it's just a major pain.

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Jordan Bayles

Consultant

Pariveda SolutionsInformation Technology and Services, 201-500 employees

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DataStax7.5

Based on 3 answers

We will continue to use it because it scales well with commodity hardware and we are satisfied with the documentation and support.

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Verified User

Engineer in Engineering

Financial Services Company, 1001-5000 employees

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Alternatives Considered

Amazon DynamoDB is a strong contender for an enterprise NoSQL database. We chose Amazon DynamoDB due to:

easy inclusion in our AWS architecture
fast performance with no setup
appropriate balance of object retention and speed compared to other databases available in AWS

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Jordan Bayles

Consultant

Pariveda SolutionsInformation Technology and Services, 201-500 employees

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Amazon DynamoDB and Datastax Cassandra are similar on masterless architecture and principles, DynamoDB is managed and needs cost analysis. If you need to have better control, Datastax is better.I also did a prototype with Google Spanner in one of the recent innovation days, it provides the best of both worlds but being a service on Google Cloud Platform(GCP) works if your services are primarily on GCP. Amazon Aurora is a relational database with higher performance and is a good candidate if search and default relational behavior is preferred.For now, Datastax worked well for us as it provides best in class performance across different kinds of read/write/mixed workloads. It provides linear scalability which works for the best performance, lowest latency and highest throughput. If configured correctly, there is no downtime and no data loss.

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Verified User

Professional in Information Technology

Computer Software Company, 5001-10,000 employees

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Return on Investment

Dynamodb reduced the need for SRE headcount to maintain infrastructure.
Built in metrics dove tails with existing monitoring tooling.
Flexible NoSQL design allows developers to focus on business problems, rather than database design.

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Alan Balasundaram

Director of Engineering

AvalaraComputer Software, 1001-5000 employees

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