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Top Rated
92 Ratings
9 Ratings

Amazon DynamoDB

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Top Rated
92 Ratings
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Score 8.5 out of 101
9 Ratings
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Score 8.6 out of 101

Likelihood to Recommend

Amazon DynamoDB

It is ideal for those projects where you need to store a large amount of data, but you do not know how many will be so you need the database to increase its storage capacity together with the number of users, without having to spend extra money, it also has a great potential thanks to the fast connection it offers, so the data travels at high speed, and this speeds up the performance of the applications, excellent for projects where non-relational databases are used and what matters is to store large quantities of information and use them at high speed.
Winston Mendes profile photo

InfluxDB

InfluxDB is very good at storing monitoring metrics (e.g. performance data). InfluxDB is not the right choice if you need to store other data types (like plain text, data relations etc.).
Valentin Höbel profile photo

Feature Rating Comparison

NoSQL Databases

Amazon DynamoDB
8.6
InfluxDB
Performance
Amazon DynamoDB
9.1
InfluxDB
Availability
Amazon DynamoDB
9.4
InfluxDB
Concurrency
Amazon DynamoDB
9.0
InfluxDB
Security
Amazon DynamoDB
9.2
InfluxDB
Scalability
Amazon DynamoDB
9.6
InfluxDB
Data model flexibility
Amazon DynamoDB
6.7
InfluxDB
Deployment model flexibility
Amazon DynamoDB
7.4
InfluxDB

Pros

Amazon DynamoDB

  • It's very easy to get started, creating a table with a partition/sort key and you're on your way.
  • You can scale up and down your read/write IO as needed.
  • You can store structured and unstructured data.
  • It works great with Web Development as it's JSON based.
Bob Smith profile photo

InfluxDB

  • Scalability - InfluxDB scales so well and even lets you create a database cluster without needing a database administrator.
  • Data Reduction - InfluxDB's primary use case is to allow the data to be input at any interval or speed regardless of the volume of data. The way this is later queried is by reducing the data based on the input data.
  • Quick start - Unlike other monolithic time series database it can easiliy startup with just a few minutes of reading their documentation
  • Cloud Native - This database engine is made to operate in Docker & cloud first!
Jonathan Yarbor profile photo

Cons

Amazon DynamoDB

  • Complex searching (no support for case-insensitive or full-text search).
  • Only supports up to two-key indexes.
  • Requires choosing the indexes up-front when doing searches.
  • Does not have an SQL compatible query front-end.
  • No join-table support (requires putting all data into one table).
Chris Moyer profile photo

InfluxDB

  • The open source version does not have ACLs, which is crucial for enterprise customers
  • The open source version has no high availability or clustering option, even the enterprise edition is limited in this way
  • The open source and the enterprise versions both have no read load-balancing systems (sharding is possible, though)
  • Backup and recovery can only be performed for all data sets, not for subsets
Valentin Höbel profile photo

Likelihood to Renew

Amazon DynamoDB

Amazon DynamoDB 9.0
Based on 31 answers
We will most likely continue to use DynamoDB for certain use-cases. If we stopped using DynamoDB as often, it would likely be because we started using Aurora Serverless more. Aurora Serverless may offer similar availability, management and cost benefits while allowing developers to use their MySQL tools and experience.
No photo available

InfluxDB

InfluxDB 9.2
Based on 2 answers
InfluxDB is a near perfect product for time series database engines. The relatively small list of cons are heavily outweighed by it's ability to just work and be a very flexible and powerful database engine. The community and support provided by the corporation are the only areas I have little experience.
Jonathan Yarbor profile photo

Alternatives Considered

Amazon DynamoDB

We evaluated using MongoDB or Amazon DyanmoDB. For us, the biggest advantage is that there's no maintenance cost for Amazon DynamoDB. Mongo gets complicated when you setup sharding. With Amazon DynamoDB, it's literally a push of button to increase throughput. This saves time and money on DevOps resources.
No photo available

InfluxDB

To be honest, I didn't look at alternatives since InfluxDB performs very well if you can oversee the lack of security and HA features. But for all challenges, there is an easy solution which brings you forward (e.g. read load balancing can be achieved by using a common HTTPS load balancer).
Valentin Höbel profile photo

Return on Investment

Amazon DynamoDB

  • Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
  • Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
  • Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.
Anudeep Palanki profile photo

InfluxDB

  • No financial costs for internal dev team - as we have an engineering team we do not have any financial expenses in using InfluxDB
  • Time to implement was minimal
  • InfluxDB has not required any substantial upkeep or operations time to use
Jonathan Yarbor profile photo

Pricing Details

Amazon DynamoDB

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

InfluxDB

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Amazon DynamoDB
8.7
InfluxDB
9.2

Likelihood to Renew

Amazon DynamoDB
9.0
InfluxDB
9.2

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