What users are saying about
150 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.3 out of 100
Based on 150 reviews and ratings
179 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 8.7 out of 100
Based on 179 reviews and ratings
Attribute Ratings
- Amazon Redshift is rated higher in 2 areas: Likelihood to Recommend, Support Rating
- Datadog and Amazon Redshift are tied in 1 area: Usability
Likelihood to Recommend

9.0
Datadog
90%
19 Ratings
9.2
Amazon Redshift
92%
34 Ratings
Usability

10.0
Datadog
100%
1 Rating
10.0
Amazon Redshift
100%
9 Ratings
Support Rating

8.8
Datadog
88%
10 Ratings
9.1
Amazon Redshift
91%
12 Ratings
Contract Terms and Pricing Model

Datadog
N/A
0 Ratings
10.0
Amazon Redshift
100%
1 Rating
Likelihood to Recommend
Datadog
Datadog is a no-brainer for any environment that relies on multiple servers. Even for one server, it's so much better to use for monitoring and alert capability than anything else I remember looking at before we started using Datadog. Teams can even use it to track their progress of investigating an alert so multiple people aren't unknowingly looking into the same exact issue unnecessarily.

Verified User
Director in Research & Development
Financial Services Company, 1-10 employeesAmazon Redshift
If the number of connections is expected to be low, but the amounts of data are large or projected to grow it is a good solutions especially if there is previous exposure to PostgreSQL. Speaking of Postgres, Redshift is based on several versions old releases of PostgreSQL so the developers would not be able to take advantage of some of the newer SQL language features. The queries need some fine-tuning still, indexing is not provided, but playing with sorting keys becomes necessary. Lastly, there is no notion of the Primary Key in Redshift so the business must be prepared to explain why duplication occurred (must be vigilant for)
Senior Business Intelligence Consultant
SermoResearch, 201-500 employees
Pros
Datadog
- APIs, the ability to interact with the data we pull into data dog is key. We port the information over to Servicenow, so the ability to pull everything into DataDog, then Servicenow, is a key component of our success here at Wayfair.
- Simple Interface - clean, useful, effective. Allows users to use DataDog for one reason, get work done.
- Lightweight agent on hosts
ServiceNow Lead Engineer/Architect
WayfairInformation Technology and Services, 10,001+ employees
Amazon Redshift
- [Amazon] Redshift has Distribution Keys. If you correctly define them on your tables, it improves Query performance. For instance, we can define Mapping/Meta-data tables with Distribution-All Key, so that it gets replicated across all the nodes, for fast joins and fast query results.
- [Amazon] Redshift has Sort Keys. If you correctly define them on your tables along with above Distribution Keys, it further improves your Query performance. It also has Composite Sort Keys and Interleaved Sort Keys, to support various use cases
- [Amazon] Redshift is forked out of PostgreSQL DB, and then AWS added "MPP" (Massively Parallel Processing) and "Column Oriented" concepts to it, to make it a powerful data store.
- [Amazon] Redshift has "Analyze" operation that could be performed on tables, which will update the stats of the table in leader node. This is sort of a ledger about which data is stored in which node and which partition with in a node. Up to date stats improves Query performance.
Staff Data Engineer
Hearst AutosMarketing & Advertising, 501-1000 employees
Cons
Datadog
- User interface could be improved in some areas, looking for host information and the agent install link takes a bit of time.
- Configuration of the agent is generally done via a config file which is a pro and a con. It would be nice to have some UI to configure various agent options.
- Billing isn't entirely straightforward, they could use more reports to figure out the source of your monthly costs.
Software Architect
SpringAheadInternet, 51-200 employees
Amazon Redshift
- We've experienced some problems with hanging queries on Redshift Spectrum/external tables. We've had to roll back to and old version of Redshift while we wait for AWS to provide a patch.
- Redshift's dialect is most similar to that of PostgreSQL 8. It lacks many modern features and data types.
- Constraints are not enforced. We must rely on other means to verify the integrity of transformed tables.
Data Scientist
Wonder (AskWonder.com)Research, 11-50 employees
Pricing Details
Datadog
General
Free Trial
Yes
Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
Optional
Starting Price
$0 Up to 5 hosts
Datadog Editions & Modules
On-premise Edition
Infrastructure | $15.001 |
---|---|
Log Management | $1.272 |
APM | $31.003 |
- Per Host Per Month
- Per Million Log Events
- Per Host Per Month
SaaS Edition
Free | $01 |
---|---|
Standard | $15/host2 |
Enterprise | Custom3 |
- Up to 5 hosts
- Up to 500 hosts
- 500+ hosts
Additional Pricing Details
—Amazon Redshift
General
Free Trial
—Free/Freemium Version
—Premium Consulting/Integration Services
—Entry-level set up fee?
No
Starting Price
$0 per hour
Amazon Redshift Editions & Modules
Edition
Current Generation | $0.25 - $13.041 |
---|---|
Previous Generation | $0.25 - $4.081 |
Redshift Spectrum | $5.002 |
Redshift Managed Storage | $0.243 |
- per hour
- per terabyte of data scanned
- per GB per month
Additional Pricing Details
—Usability
Datadog
Datadog 10.0
Based on 1 answer
The user interface is quite intuitive with the exception of the network map. As a deployer of software, it is trivial to setup.

Verified User
Engineer in Information Technology
Information Technology & Services Company, 501-1000 employeesAmazon Redshift
Amazon Redshift 10.0
Based on 9 answers
Just very happy with the product, it fits our needs perfectly. Amazon pioneered the cloud and we have had a positive experience using RedShift. Really cool to be able to see your data housed and to be able to query and perform administrative tasks with ease.
Senior Developer
American Board of Internal MedicineNon-Profit Organization Management, 201-500 employees
Support Rating
Datadog
Datadog 8.8
Based on 10 answers
The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.

Verified User
Director in Information Technology
Consumer Goods Company, 51-200 employeesAmazon Redshift
Amazon Redshift 9.1
Based on 12 answers
The support was great and helped us in a timely fashion. We did use a lot of online forums as well, but the official documentation was an ongoing one, and it did take more time for us to look through it. We would have probably chosen a competitor product had it not been for the great support

Verified User
Engineer in Engineering
Financial Services Company, 5001-10,000 employeesAlternatives Considered
Datadog
We are still trying other products, but people still like Datadog. After setting up a dashboard, it's great for monitoring instances on Datadog. Also, the DevOps team had a good time setting up Datadog. It means Datadog was way easier to set up compared to those others.

Verified User
Engineer in Information Technology
Information Technology and Services Company, 201-500 employeesAmazon Redshift
Than Vertica: Redshift is cheaper and AWS integrated (which was a plus because the whole company was on AWS).
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.
Than BigQuery: Redshift has a standard SQL interface, though recently I heard good things about BigQuery and would try it out again.
Than Hive: Hive is great if you are in the PB+ range, but latencies tend to be much slower than Redshift and it is not suited for ad-hoc applications.

Verified User
Director in Engineering
Computer Software Company, 1001-5000 employeesContract Terms and Pricing Model
Datadog
No score
No answers yet
No answers on this topic
Amazon Redshift
Amazon Redshift 10.0
Based on 1 answer
Redshift is relatively cheaper tool but since the pricing is dynamic, there is always a risk of exceeding the cost. Since most of our team is using it as self serve and there is no continuous tracking by a dedicated team, it really needs time & effort on analyst's side to know how much it is going to cost.
Analytics Lead
Monotype Solutions IndiaInformation Technology & Services, 10,001+ employees
Return on Investment
Datadog
- One of our critical production databases went down a couple of weeks back. Just because we had the Datadog monitoring enabled for that database, Datadog sent the alerts to PagerDuty and we were instantly notified via pager and email alert. We could act right away and bring up the database within a few mins.
- Ability to create custom screenboards have allowed us to track the critical and warning alerts in front of our eyes all the time
Systems Analyst, Engineering
Dreamworks AnimationEntertainment, 1001-5000 employees
Amazon Redshift
- Our company is moving to the AWS infrastructure, and in this context moving the warehouse environments to Redshift sounds logical regardless of the cost.
- Development organizations have to operate in the Dev/Ops mode where they build and support their apps at the same time.
- Hard to estimate the overall ROI of moving to Redshift from my position. However, running Redshift seems to be inexpensive compared to all the licensing and hardware costs we had on our RDBMS platform before Redshift.
Principal Data Architect
IntuitComputer Software, 5001-10,000 employees