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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Logz.io

    Score8.3 out of 10
    Small Businesses (1-50 employees)
    Logz.io in Boston offers their enterprise-grade log analytics application, oriented towards providing data security and eliminating the need for capacity management.

    $0.84

    per ingested GB 3 day of log retention

    pganalyze

    Score9 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
    Logz.iopganalyze
    Editions & Modules
    Log Management - Community
    $0
    1 day of log retention.
    Log Management - Pro
    $.92
    per ingested GB. 7 days retention.
    Distributed Tracing - Pro
    $5
    Per million spans.
    Infrastructure Monitoring - Pro
    $12
    per month per 1000 time-series metrics.
    Log Management - Enterprise
    Custom
    Cloud SIEM - Enterprise
    from $1.49
    per ingested GB. Price includes Logz.io Log Management
    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
    Logz.iopganalyze
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—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
    Logz.iopganalyze
    Considered Both Products
    Logz.io
    No answer on this topic
    pganalyze
    No answer on this topic
    Key User Insights
    Would buy again
    67%
    Would buy again
    4 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    5 Answers
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    6 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    5 Answers
    No answers on this topic
    Best Alternatives
    Logz.iopganalyze
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    SolarWinds Database Performance Analyzer
    Score5.6 out of 10
    Enterprises
    NetBrain Technologies
    Score8.8 out of 10
    Foglight
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Logz.iopganalyze
    Likelihood to Recommend
    9.0
    (9 ratings)
    9.0
    (1 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    9.0
    (4 ratings)
    -
    (0 ratings)
    Availability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.1
    (2 ratings)
    -
    (0 ratings)
    Configurability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Contract Terms and Pricing Model
    9.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    9.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    9.0
    (1 ratings)
    -
    (0 ratings)
    Professional Services
    9.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    9.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Logz.iopganalyze
    Likelihood to Recommend
    Logz.io
    Logz.io is an effective solution if your alerting needs are fairly straightforward and you don't need long-term retention of logs with easy access. If being able to maintain easy access to logs longer than this is necessary, another solution might be better. If you need a high degree of precision with alerting triggers and the ability to suppress alerts, you will need to combine Logz.io with an integration to get this or you might consider a different solution.
    Incentivized
    Read full review
    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.
    Incentivized
    Read full review
    Pros
    Logz.io
    • Well documented and easy to set up.
    • Their alerting mechanism is really great especially when it comes to application monitoring.
    • Our data analysis in Kibana is made easy with the solution for Logz.io.
    • The issue checking and fixing is escalated quickly and is reported in time.
    Incentivized
    Read full review
    pganalyze
    • User and role setup
    • Performance tuning
    • Tracking of queries
    Incentivized
    Read full review
    Cons
    Logz.io
    • Its price can be very high, so you should have good control of it to avoid exaggerated figures.
    • Some functions can be confusing.
    • It has limits to create subaccounts, which is a big problem for large companies.
    Incentivized
    Read full review
    pganalyze
    • Visualization
    • Database insights
    Incentivized
    Read full review
    Likelihood to Renew
    Logz.io
    Really easy to use and ship the logs Good customer support Easy integration with the modules
    Incentivized
    Read full review
    pganalyze
    No answers on this topic
    Usability
    Logz.io
    I initially struggled trying to ensure the correct data was returned in the Kibana search, but I found it overall easy to use. Some of the UI is not as seamless as I'd expect, like changing the environment completely resets your search criteria and filters, which is annoying since it's a common use case to search something in multiple environments
    Incentivized
    Read full review
    pganalyze
    No answers on this topic
    Support Rating
    Logz.io
    Their support team is the best in the world! They supported us in most of the critical times and helped to resolve the issue in real time. Also their email support is well maintained and never a mail is missed unanswered. Kudos to the support team of logz.io for maintaining professionalism.
    Incentivized
    Read full review
    pganalyze
    No answers on this topic
    Implementation Rating
    Logz.io
    Implementation of logzio is easy. Exporting the logs with filebeat agent is our main key source.
    Incentivized
    Read full review
    pganalyze
    No answers on this topic
    Alternatives Considered
    Logz.io
    Logz.io is more affordable, less work to maintain, and has more features. It was an easy choice. After my last team had to manage their own ELK stack, this was a no brainer. It helps us be focused on our core competencies.
    Incentivized
    Read full review
    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 ..
    Incentivized
    Read full review
    Return on Investment
    Logz.io
    • about the investment, this tool is helping in our day to day activities
    • easy to troubleshoot the errors
    • simple and powerful
    Incentivized
    Read full review
    pganalyze
    • Efficient product
    • Good value for money
    • You dont have to depend on external services
    Incentivized
    Read full review
    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.