Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.4 out of 10
N/A
Datadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.
$18
per month per host
pganalyze
Score 9.0 out of 10
Small Businesses (1-50 employees)
Founded in 2012, pganalyze provides actionable insights into Postgres. Specializing in PostgreSQL database monitoring and optimization, pganalyze gives automatic insights into Postgres query plans, helps improve Postgres query performance with its Index Advisor and VACUUM Advisor, and lets the user perform query drill-down analysis, observe per-query statistics and conduct trend analysis in a platform that integrates with both self-managed Postgres servers as…
$149
per month per database server
Pricing
Datadogpganalyze
Editions & Modules
Log Management
$1.27
per month (billed annually) per host
Infrastructure
$15.00
per month (billed annually) per host
Standard
$18
per month per host
Enterprise
$27
per month per host
DevSecOps Pro
$27
per month per host
APM
$31.00
per month (billed annually) per host
DevSecOps Enterprise
$41
per month per host
Production
$149
per month for 1 database server
Scale
$399
per month for up to 4 database servers ($100/mo for each additional billable server)
Enterprise Cloud
Contact us
per year per database server
Enterprise Server
Contact us
per year per database server
Offerings
Pricing Offerings
Datadogpganalyze
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeOptionalNo setup fee
Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).Scale plan offers additional database servers at a cost of $100/month for each additional billable server. In general, each 1 Postgres server that is running (i.e. one parent postgres process) is considered 1 billable server. In the case of cloud providers these are often called "instances". Depending on the subscription plan you are on, you may have a special price for replica servers (also called "readers", or "followers"), which is implemented by multiplying the replica count with a multiplier (e.g. 0.5), with the total rounded up. Annual plans are available and come at a discount compared to the monthly plans Contact us for custom requirements
More Pricing Information
Community Pulse
Datadogpganalyze
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Datadogpganalyze
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User Ratings
Datadogpganalyze
Likelihood to Recommend
9.0
(22 ratings)
9.0
(1 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
8.9
(6 ratings)
-
(0 ratings)
User Testimonials
Datadogpganalyze
Likelihood to Recommend
Datadog
Datadog works really well with complex microservices architecture like any E-commerce platform which will be having multiple services but they all are interdependent to others so in this scenario Datadog will be best to monitor these as it will show the transactions also between those microservices. If you are using multiple services in your architecture whether it will be cloud services or on prem services Datadog will be the best choice to monitor all those service with in Datadog so that you can see everything in a single place. But if you are having small architecture and few services in that then in that scenario you can use Datadog but it will be little costly as compared to other but obviously the features are very well.
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pganalyze
pganalyze works great with the postgresql and gives a good alternatives to the existing producsts available out there like Slick or basic as microsoft SQL server manaagement studio. We have used in our projects of data migration and integration of enterprise data warehouseing and reporting . And it has provides us satisfactory results.
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Pros
Datadog
  • Create Dashboards as per application, environments, and Custom metrics in one panel.
  • Log aggregation, one-stop Application monitoring tools for the whole infrastructure.
  • Playbooks, SLA definition, success and error quotas, request visualizations.
  • DB monitoring, Serverless stack monitoring.
  • Alerting of Production incidents so we can quickly resolve the issues on time.
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pganalyze
  • User and role setup
  • Performance tuning
  • Tracking of queries
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Cons
Datadog
  • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
  • I would appreciate more supportive examples for how to filter and view metrics in the explorer
  • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
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pganalyze
  • Visualization
  • Database insights
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Usability
Datadog
There is some room for improvement, but the Datadog team sends out updates frequently, and the UI is user-friendly for engineers, with no significant loading issues or region-specific problems. That was one of the key reasons we preferred Datadog; our company has employees worldwide, and it wasn't difficult to transition to the tool.
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pganalyze
No answers on this topic
Support Rating
Datadog
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.
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pganalyze
No answers on this topic
Alternatives 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.
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pganalyze
It is better in terms of results provided. We were using Microsoft SQL Server Management Studio so far and relying only on that but some one recommend to us to use pganalyze to do the query analysis and we started using it for one project and we liked it much that we have started recomended to all projects teams ..
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Return on Investment
Datadog
  • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
  • Alerts allow us to remedy issues before our customers even know about them
  • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
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pganalyze
  • Efficient product
  • Good value for money
  • You dont have to depend on external services
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ScreenShots

Datadog Screenshots

Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.

pganalyze Screenshots

Screenshot of Query Performance Overview: pganalyze provides access to historic query data and provides tools to help with optimizing and performance tuning of Postgres databases, including trend analysis, and config tuning recommendations.Screenshot of Query Details Page: Displays detailed statistics on a per-query basis so users can learn what to focus on. pganalyze can also be used to perform query drill-down analysis and observe per-query statistics.Screenshot of pganalyze Index Advisor: pganalyze automatically validates that existing indexes are useful, gives index recommendations to improve performance, and helps reduce load on the database.Screenshot of pganalyze EXPLAIN Insights: pganalyze automatically collects EXPLAIN plans with auto_explain, provides visualizations and gives meaningful insights into Postgres Queries.Screenshot of pganalyze Log Insights: PostgreSQL logs often contain critical details about whats going on in an associated database. pganalyze Log Insights automatically extracts the logs into structured data, and filters any sensitive information.Screenshot of pganalyze VACUUM Advisor: pganalyze helps optimize table bloat, freezing and VACUUM performance - ensuring ideal performance, stability, and efficiency for  databases.