pganalyze vs. Splunk AppDynamics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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 for 1 database server
Splunk AppDynamics
Score 8.2 out of 10
N/A
AppDynamics is an APM and Mobile APM program, with application mapping and predictive capabilities. These capacities enable automated remediation and code-level diagnostics in real time. It can be deployed on-premise or as a SaaS.N/A
Pricing
pganalyzeSplunk AppDynamics
Editions & Modules
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
No answers on this topic
Offerings
Pricing Offerings
pganalyzeSplunk AppDynamics
Free Trial
YesYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsScale 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
pganalyzeSplunk AppDynamics
Features
pganalyzeSplunk AppDynamics
Application Performance Management
Comparison of Application Performance Management features of Product A and Product B
pganalyze
-
Ratings
Splunk AppDynamics
8.5
Ratings
11% above category average
Application monitoring00 Ratings9.40 Ratings
Database monitoring00 Ratings8.00 Ratings
Threshold alerts00 Ratings8.90 Ratings
Predictive capabilities00 Ratings7.80 Ratings
Application performance management console00 Ratings8.90 Ratings
Collaboration tools00 Ratings7.60 Ratings
Server availability and performance monitoring00 Ratings8.50 Ratings
Server usage monitoring and capacity forecasting00 Ratings8.80 Ratings
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User Ratings
pganalyzeSplunk AppDynamics
Likelihood to Recommend
9.0
(0 ratings)
8.7
(0 ratings)
Likelihood to Renew
-
(0 ratings)
9.1
(0 ratings)
Usability
-
(0 ratings)
8.5
(0 ratings)
Support Rating
-
(0 ratings)
8.1
(0 ratings)
User Testimonials
pganalyzeSplunk AppDynamics
Likelihood to Recommend
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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Platforms for software as a service (SaaS) frequently cater to a large number of users with a variety of needs and usage patterns. Because AppDynamics offers multi-tenant monitoring capabilities to track performance across various customer environments, it is a good choice for SaaS platform monitoring. SaaS providers can maximize resource utilization, proactively detect and resolve performance issues, and provide a dependable and consistent user experience for their clients with AppDynamics.
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Pros
  • User and role setup
  • Performance tuning
  • Tracking of queries
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  • AppDynamics excels in creating dynamic baselines for application performance. For instance, during periods of varying workloads, it automatically adjusts performance baselines. This adaptive baseline creation helps in accurately detecting anomalies and deviations, ensuring that abnormal behavior is quickly identified and addressed.
  • The scalability of an organization's apps can be evaluated with the assistance of AppDynamics. It gives insights into how effectively programs can handle increased workloads, helping to proactively address scalability concerns before they impair performance.
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Cons
  • Visualization
  • Database insights
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  • The initial setup process of AppDynamics could be more user-friendly. Some users find the configuration and onboarding to be a bit complex. Improving the onboarding experience could make it more accessible, especially for smaller teams or those with limited resources.
  • It can be difficult for some users to get AppDynamics up and running for the first time. For new users, the platform's usability might be improved by streamlining the onboarding process or providing more user-friendly setup wizards.
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Likelihood to Renew
No answers on this topic
its working for us, we are familiar and comfortable with the tool and its proven valuable/indispensable in helping evaluate our code.
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Usability
No answers on this topic
Actually, I would like to give it a score of 10 out of 10, but taking into account certain factors such as: the cost of the annual licence, the complexity of installation and configuration, the blurring of setting Splunk AppDynamics over the cloud and especially OpenShift since we use it as a container platform. So, 8 out of 10 looks perfect for it
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Support Rating
No answers on this topic
AppDynamics has its own community site that includes forums and a knowledge base. On the forums, you can converse with other members of the community and ask technical questions as you have them. Though this forum isn’t filled with people there are active members for you to gain some valuable insights.
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Alternatives Considered
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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It is distinguished from these programs because the platform provides visualizations of application processes, showing the interplay between various parts and services. Understanding the architecture of complicated apps and finding their weak spots is greatly aided by this.
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Return on Investment
  • Efficient product
  • Good value for money
  • You dont have to depend on external services
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  • We can optimize infrastructure utilization and lower cloud or server costs by locating and removing resource-intensive bottlenecks with the aid of AppDynamics.
  • Building trust with external stakeholders and encouraging accountability within our organization, AppDynamics' comprehensive reporting and monitoring capabilities offer transparency into the health of applications.
  • We can find bugs earlier and improve development workflows with the help of AppDynamics' real-time insights and code-level profiling.
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ScreenShots

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.