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Top Rated
54 Ratings
9 Ratings
Top Rated
54 Ratings
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Score 8.3 out of 101
9 Ratings
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Score 8.8 out of 101

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Likelihood to Recommend

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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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.).
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Feature Rating Comparison

NoSQL Databases

Amazon DynamoDB
7.9
InfluxDB
8.9
Performance
Amazon DynamoDB
8.0
InfluxDB
9.0
Availability
Amazon DynamoDB
8.4
InfluxDB
10.0
Concurrency
Amazon DynamoDB
9.0
InfluxDB
10.0
Security
Amazon DynamoDB
8.7
InfluxDB
6.0
Scalability
Amazon DynamoDB
9.7
InfluxDB
10.0
Data model flexibility
Amazon DynamoDB
4.0
InfluxDB
8.0
Deployment model flexibility
Amazon DynamoDB
7.3
InfluxDB
9.0

Pros

  • Amazon DynamoDB is infinitely scalable. It is fast and Amazon automatically allocates more resources.
  • No predefined schema is required. This ensures flexibility.
  • Minimum administrative cost since Amazon manages all that. This works for small companies since you don't need a DevOps headcount.
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  • Storing time-series data
  • Providing time-series data over an HTTPS API
  • Accepting new data inputs through the same HTTPS API
  • Providing existing data sets in a very fast and efficient manner
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Cons

  • It's a NoSQL database. That means you lose all the capabilities of a traditional RDBMS model. You can't do joins to query data and you lose ACID properties.
  • DynamoDB does not support multiple indices. That means for certain queries, you need to do full table scans which is not desirable. There are work arounds for this.
  • The provisioned throughput doesn't degrade gracefully. That means that once you hit the limit, the requests are denied. It's tricky to come up with the limits of your application.
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  • 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
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Likelihood to Renew

Amazon DynamoDB7.1
Based on 13 answers
We started with DynamoDB for few of the applications that I built as its a pragmatic solution. But as our data started to evolve, we started to hit limitations of the DynamoDB's querying and it gets increasingly frustrating to write code around the DynamoDB's limitations that I mentioned earlier. This caused us to switch from DynamoDB to Postgres in both the cases where we mixed the traditional SQL with NoSQL data.
Anudeep Palanki profile photo
InfluxDB9.5
Based on 2 answers
InfluxDB simply works. There is no need to switch to another solution if you don't need native clustering, HA or security (and don't want to add those features yourself). I provide a 10-star rating since InfluxDB promotes itself as a simple, but effective time-series database. If you look at what it provides and what was advertised, there is a 100% match, which is why I can't refuse to give a perfect rating. All the small things that are "not so cool" can be overlooked.
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Alternatives Considered

Main advantage of DynamoDB is Amazon's offering as SaaS. This removes the need for managing the database. DynamoDB is well suited for querying simple and flat JSON objects. Compared to PostgresSQL, I would pick Postgres over Dynamo considering that Postgres is very mature and has robust support for SQL and NoSQL data. Best part about Postgres is its offered in Amazon RDS, which makes setting up a new instances as easy as a DynamoDB. Postgres is also an open source tool and has proven legacy in support.MongoDB offers great support for querying nested data structures and blob data. MongoDB also has a mature querying language. Only caveat with Mongo is it requires manual setup on an EC2 instance that causes developer overhead in setting up and managing the instance.
Anudeep Palanki profile photo
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).
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Return on Investment

  • For our small team, it has been great in aspect to cost as we save time of operations
  • This provided us fast read and write for simple queries
  • When we have complex logic and queries, we are unable to use it
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  • InfluxDB is a quick and easy solution if the customers need to store and handle large amounts of time-series data
  • InfluxDB is so simple that almost no training is needed
  • InfluxDB had a negative impact in terms of security since the open-source version lacks relevant features; therefore all customers have to build their own security solution on top of InfluxDB if they can't afford the enterprise version
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Pricing Details

Amazon DynamoDB

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

InfluxDB

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