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Top Rated
54 Ratings
3 Ratings
Top Rated
54 Ratings
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Score 8.3 out of 101
3 Ratings
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Score 8.1 out of 101

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Likelihood to Recommend

Amazon DynamoDB

If you start with Amazon DynamoDB, you are over optimizing for the future. In my opinion, use Amazon DynamoDB only when SQL can not handle the load of your application.
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Apache Drill

if you're doing joins from hBASE, hdfs, cassandra and redis, then this works.Using it as a be all end all does not suit it. This is not your straight forward magic software that works for all scenarios. One needs to determine the use case to see if Apache Drill fits the needs. 3/4 of the time, usually it does.
Anson Abraham profile photo

Feature Rating Comparison

NoSQL Databases

Amazon DynamoDB
7.9
Apache Drill
Performance
Amazon DynamoDB
8.0
Apache Drill
Availability
Amazon DynamoDB
8.4
Apache Drill
Concurrency
Amazon DynamoDB
9.0
Apache Drill
Security
Amazon DynamoDB
8.7
Apache Drill
Scalability
Amazon DynamoDB
9.7
Apache Drill
Data model flexibility
Amazon DynamoDB
4.0
Apache Drill
Deployment model flexibility
Amazon DynamoDB
7.3
Apache Drill

Pros

  • Fast retrieval
  • Auto scaling to control costs
  • Query and scanning allow for different use cases
Adam Lauer profile photo
  • queries multiple data sources with ease.
  • supports sql, so non technical users who know sql, can run query sets
  • 3rd party tools, like tableau, zoom data and looker were able to connect with no issues
Anson Abraham profile photo

Cons

  • Because of the lack of relations in AmazonDynamoDB, mapping very complex objects that you would typically decompose into related entities is difficult. Amazon DynamoDB is typically not great for this use case.
  • Amazon DynamoDB doesn't do strong type checking (there is typing, but it's relatively limited), so depending on your language you may have to expend some effort to properly map an Amazon DynamoDB object to a programmatical entity.
  • Depending on how much need you have for Amazon DynamoDB's performance, it can be a major pain to maintain... especially if you also have a relational database. In my current project, we utilize Amazon DynamoDB alongside PostgreSQL and entities live in one, the other, or both as appropriate. Synchronizing the database is a pain point.
Jordan Bayles profile photo
  • deployment. Not as easy
  • configuration isn't as straight forward, especially with the documentation
  • Garbage collection could be improved upon
Anson Abraham profile photo

Likelihood to Renew

Amazon DynamoDB7.1
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.
Jordan Bayles profile photo
Apache Drill7.0
Based on 1 answer
if Presto comes up with more support (ie hbase, s3), then its strongly possible that we'll move from apache drill to prestoDB. However, Apache drill needs more configuration ease, especially when it comes to garbage collection tuning. If apache drill could support also sparkSQL and Flume, then it does change drill into being something more valuable than prestoDB
Anson Abraham profile photo

Alternatives Considered

As a fully managed NoSQL service, DynamoDB provides a lot of functionality for relatively low cost. Scaling, sharding, throughput performance is managed for you, and you only pay for the bandwidth you provision.
Alan Balasundaram profile photo
compared to presto, has more support than prestodb.Impala has limitations to what drill can supportapache phoenix only supports for hbase. no support for cassandra. Apache drill was chosen, because of the multiple data stores that it supports htat the other 3 do not support. Presto does not support hbase as of yet. Impala does not support query to cassandra
Anson Abraham profile photo

Return on Investment

  • We were able to achieve our goal using Amazon – store every single email our system that has ever been sent in fluid database for long term recover without significantly impacting query times at scale.
  • We have been unable to effectively add additional features using the data set because of the pricing structure and incurred cost involved with performing repeated scans over the dataset.
Justin Schroeder profile photo
  • Configuration has taken some serious time out.
  • Garbage collection tuning. is a constant hassle. time and effort applied to it, vs dedicating resources elsewhere.
  • w/ sql support, reduces the need of devs to generate the resultset for analysts, when they can run queries themselves (if they know sql).
Anson Abraham profile photo

Pricing Details

Amazon DynamoDB

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

Apache Drill

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