What users are saying about
101 Ratings
Top Rated
154 Ratings
101 Ratings
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Score 8.1 out of 100
Top Rated
154 Ratings
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Score 8.5 out of 100

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.
Anonymous | TrustRadius Reviewer

Amazon 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)
Arthur Zubarev | TrustRadius Reviewer

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
Anthony Zappala | TrustRadius Reviewer

Amazon Redshift

  • Redshift is fully managed. Small teams do not have the resources to maintain a cluster. CloudWatch metrics are provided out-of-the-box, and it is easy to configure alarms.
  • Redshift's console allows you to easily inspect and manage queries, and manage the performance of the cluster.
  • Redshift is ubiquitous; many products (e.g., ETL services) integrate with it out-of-the-box.
  • Writing .csvs to S3 and querying them through Redshift Spectrum is convenient.
Gavin Hackeling | TrustRadius Reviewer

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.
Kevin Van Heusen | TrustRadius Reviewer

Amazon Redshift

  • It could benefit from adding data integrity and programming tools common to other database management systems.
  • Amazon Redshift is based on PostgreSQL 8.0.2. That version of PostgreSQL was released in December 2006. While PostgreSQL was much improved since then, the new features were not implemented in Redshift. Many basic features are missing from it.
  • Primary keys can be declared but not enforced. Referential integrity (foreign keys) can be declared but not enforced. UNIQUE and CHECK constraints are not supported and cannot be declared.
  • IDENTITY can be declared on a column, and Redshift will put unique values into it. However: IDENTITY values in the newly inserted rows won’t be incremental or sequential. To implement a sequential number, you need to write your own custom code.
  • There are no stored procedures in Redshift. We are writing SQL script files, and then parsing and running them one statement at a time from a Python program. This also enabled us to implement execution-time error logging.
  • In SQL scripts, to check for the row count of affected rows, a complicated join query against some system tables or views has to be executed.
  • Data Control Language (DCL) does not exist. No statements like IF, WHILE, DO, RAISERROR, etc.
  • On performance of views… Views do not “pass-through” a query parameter which is a potential problem for performance.
  • When selecting against a view with the WHERE clause outside of the view, the inner query of the view will be executed first without consideration for the WHERE clause, and only then the WHERE clause will be applied.
  • Certain clauses of SQL work many times faster than other clauses. So be careful and test your statements for performance earlier rather than later, especially if working with a large data set.
  • There was a situation when DELETE FROM JOIN was unacceptably slow. Replacing JOIN with the USING clause made DELETE instantaneous.
Michael Romm | TrustRadius Reviewer

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.
Anonymous | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 8.5
Based on 8 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.
Brendan McKenna | TrustRadius Reviewer

Support Rating

Datadog

Datadog 8.4
Based on 12 answers
Our experience working with their support found them to be helpful and quick to respond. Also, as many of their integrations are open source, improvements we desired could be tracked and even driven by us. Their documentation is excellent and makes integrating their tooling simple and makes standing up monitoring for new application a quick and painless process.
Anonymous | TrustRadius Reviewer

Amazon Redshift

Amazon Redshift 7.6
Based on 11 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
Anonymous | TrustRadius Reviewer

Alternatives Considered

Datadog

New Relic APM is a great application performance monitoring tool, but the agent was producing an increased load on our system compared to Datadog. Datadog also gives the flexibility of going outside of the boundaries of the application and looking at system performance as well, which can have a large impact on application performance.
Stephen Groat | TrustRadius Reviewer

Amazon 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.
Anonymous | TrustRadius Reviewer

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
Rajeshh Raghavan | TrustRadius Reviewer

Amazon Redshift

  • Redshift has had a very positive impact on our business. It has been used to provide analytics on marketing campaigns to boost revenue.
  • Redshift is instrumental in our payment collection business processes. It powers everything from who gets called to who gets sent collection emails.
Seth Goldberg | TrustRadius Reviewer

Screenshots

Pricing Details

Datadog

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
Optional

Datadog Editions & Modules

On-premise Edition
Infrastructure$15.001
Log Management$1.272
APM$31.003
  1. Per Host Per Month
  2. Per Million Log Events
  3. Per Host Per Month
SaaS Edition
Free$01
Standard$15/host2
EnterpriseCustom3
  1. Up to 5 hosts
  2. Up to 500 hosts
  3. 500+ hosts
Additional Pricing Details

Amazon Redshift

General

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

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
  1. per hour
  2. per terabyte of data scanned
  3. per GB per month
Additional Pricing Details

Add comparison