Alternatives to Sumo Logic logo

Alternatives to Sumo Logic

Datadog, Splunk, Splunk Cloud, Scalyr, and Logentries are the most popular alternatives and competitors to Sumo Logic.
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What is Sumo Logic and what are its top alternatives?

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.
Sumo Logic is a tool in the Log Management category of a tech stack.

Top Alternatives to Sumo Logic

  • Datadog
    Datadog

    Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog! ...

  • Splunk
    Splunk

    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data. ...

  • Splunk Cloud
    Splunk Cloud

    If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment. ...

  • Scalyr
    Scalyr

    Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab. ...

  • Logentries
    Logentries

    Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users. ...

  • Loggly
    Loggly

    It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain. ...

  • New Relic
    New Relic

    The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too. ...

  • ELK
    ELK

    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch. ...

Sumo Logic alternatives & related posts

Datadog logo

Datadog

6.9K
6.1K
822
Unify logs, metrics, and traces from across your distributed infrastructure.
6.9K
6.1K
+ 1
822
PROS OF DATADOG
  • 134
    Monitoring for many apps (databases, web servers, etc)
  • 106
    Easy setup
  • 86
    Powerful ui
  • 82
    Powerful integrations
  • 69
    Great value
  • 53
    Great visualization
  • 45
    Events + metrics = clarity
  • 40
    Custom metrics
  • 40
    Notifications
  • 38
    Flexibility
  • 18
    Free & paid plans
  • 15
    Great customer support
  • 14
    Makes my life easier
  • 9
    Adapts automatically as i scale up
  • 8
    Easy setup and plugins
  • 7
    Super easy and powerful
  • 6
    In-context collaboration
  • 6
    AWS support
  • 5
    Rich in features
  • 4
    Docker support
  • 4
    Cost
  • 3
    Easy to Analyze
  • 3
    Full visibility of applications
  • 3
    Automation tools
  • 3
    Monitor almost everything
  • 3
    Cute logo
  • 3
    Simple, powerful, great for infra
  • 3
    Source control and bug tracking
  • 3
    Best than others
  • 3
    Expensive
  • 2
    Best in the field
  • 2
    Good for Startups
  • 2
    Free setup
CONS OF DATADOG
  • 17
    Expensive
  • 4
    No errors exception tracking
  • 2
    External Network Goes Down You Wont Be Logging
  • 1
    Complicated

related Datadog posts

Robert Zuber

Our primary source of monitoring and alerting is Datadog. We’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

See more

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

See more
Splunk logo

Splunk

492
815
13
Search, monitor, analyze and visualize machine data
492
815
+ 1
13
PROS OF SPLUNK
  • 2
    Alert system based on custom query results
  • 2
    API for searching logs, running reports
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 1
    Ability to style search results into reports
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Rich GUI for searching live logs
CONS OF SPLUNK
  • 1
    Splunk query language rich so lots to learn

related Splunk posts

Shared insights
on
KibanaKibanaSplunkSplunkGrafanaGrafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

See more
Splunk Cloud logo

Splunk Cloud

149
387
14
Easy and fast way to analyze valuable machine data with the convenience of software as a service (SaaS)
149
387
+ 1
14
PROS OF SPLUNK CLOUD
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Powerful log analytics
  • 2
    Free
  • 1
    Pci compliance
  • 1
    Production debugger
CONS OF SPLUNK CLOUD
    Be the first to leave a con

    related Splunk Cloud posts

    Scalyr logo

    Scalyr

    40
    53
    12
    Cloud-based log aggregation, server monitoring, and real-time analysis tool.
    40
    53
    + 1
    12
    PROS OF SCALYR
    • 7
      Speed of queries
    • 4
      Blazing fast logs search
    • 1
      Simple usage
    CONS OF SCALYR
      Be the first to leave a con

      related Scalyr posts

      Logentries logo

      Logentries

      284
      167
      105
      Real-time log management and analytics built for the cloud
      284
      167
      + 1
      105
      PROS OF LOGENTRIES
      • 34
        Log search
      • 27
        Live logs
      • 19
        Easy setup
      • 14
        Heroku Add-on
      • 5
        Backup to S3
      • 2
        Easy setup, independent of existing logging setup
      • 2
        Free
      • 2
        Search/query with regex
      • 0
        E
      CONS OF LOGENTRIES
        Be the first to leave a con

        related Logentries posts

        Logentries, LogDNA, Timber.io, Papertrail and Sumo Logic provide free pricing plan for #Heroku application. You can add these applications as add-ons very easily.

        See more
        Loggly logo

        Loggly

        268
        277
        168
        Unified log analysis & log monitoring
        268
        277
        + 1
        168
        PROS OF LOGGLY
        • 37
          Centralized log management
        • 25
          Easy to setup
        • 21
          Great filtering
        • 16
          Live logging
        • 15
          Json log support
        • 10
          Log Management
        • 10
          Alerting
        • 7
          Love the product
        • 7
          Great Dashboards
        • 4
          Heroku Add-on
        • 2
          Easy setup
        • 2
          No alerts in free plan
        • 2
          Backup to S3
        • 2
          Great UI
        • 2
          Good parsing
        • 2
          Powerful
        • 2
          Fast search
        • 2
          Easy to setup and use
        CONS OF LOGGLY
        • 3
          Pricey after free plan

        related Loggly posts

        New Relic logo

        New Relic

        19.1K
        7.4K
        1.9K
        New Relic is the industry’s largest and most comprehensive cloud-based observability platform.
        19.1K
        7.4K
        + 1
        1.9K
        PROS OF NEW RELIC
        • 415
          Easy setup
        • 344
          Really powerful
        • 244
          Awesome visualization
        • 194
          Ease of use
        • 151
          Great ui
        • 107
          Free tier
        • 81
          Great tool for insights
        • 66
          Heroku Integration
        • 55
          Market leader
        • 49
          Peace of mind
        • 21
          Push notifications
        • 20
          Email notifications
        • 17
          Heroku Add-on
        • 16
          Error Detection and Alerting
        • 12
          Multiple language support
        • 11
          Server Resources Monitoring
        • 11
          SQL Analysis
        • 9
          Transaction Tracing
        • 8
          Apdex Scores
        • 8
          Azure Add-on
        • 7
          Analysis of CPU, Disk, Memory, and Network
        • 6
          Detailed reports
        • 6
          Performance of External Services
        • 6
          Error Analysis
        • 6
          Application Availability Monitoring and Alerting
        • 6
          Application Response Times
        • 5
          JVM Performance Analyzer (Java)
        • 5
          Most Time Consuming Transactions
        • 4
          Easy to use
        • 4
          Top Database Operations
        • 4
          Browser Transaction Tracing
        • 3
          Application Map
        • 3
          Pagoda Box integration
        • 3
          Custom Dashboards
        • 3
          Weekly Performance Email
        • 2
          Easy visibility
        • 2
          App Speed Index
        • 2
          Easy to setup
        • 2
          Background Jobs Transaction Analysis
        • 1
          Incident Detection and Alerting
        • 1
          Worst Transactions by User Dissatisfaction
        • 1
          Metric Data Resolution
        • 1
          Metric Data Retention
        • 1
          Team Collaboration Tools
        • 1
          Rails integration
        • 1
          Super Expensive
        • 1
          Access to Performance Data API
        • 1
          Real User Monitoring Overview
        • 1
          Real User Monitoring Analysis and Breakdown
        • 1
          Free
        • 1
          Best of the best, what more can you ask for
        • 1
          Best monitoring on the market
        • 1
          Time Comparisons
        • 0
          Exceptions
        • 0
          Ddd
        CONS OF NEW RELIC
        • 19
          Pricing model doesn't suit microservices
        • 10
          UI isn't great
        • 7
          Visualizations aren't very helpful
        • 7
          Expensive
        • 5
          Hard to understand why things in your app are breaking

        related New Relic posts

        Farzeem Diamond Jiwani
        Software Engineer at IVP · | 5 upvotes · 797.5K views

        Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

        Current Environment: .NET Core Web app hosted on Microsoft IIS

        Future Environment: Web app will be hosted on Microsoft Azure

        Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

        Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

        Please advise on the above. Thanks!

        See more
        Sebastian Gębski

        Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).

        See more
        ELK logo

        ELK

        716
        739
        20
        The acronym for three open source projects: Elasticsearch, Logstash, and Kibana
        716
        739
        + 1
        20
        PROS OF ELK
        • 13
          Open source
        • 3
          Good for startups with monetary limitations
        • 2
          Can run locally
        • 1
          Easy to setup
        • 1
          External Network Goes Down You Aren't Without Logging
        • 0
          Json log supprt
        • 0
          Live logging
        CONS OF ELK
        • 4
          Elastic Search is a resource hog
        • 3
          Logstash configuration is a pain
        • 1
          Bad for startups with personal limitations

        related ELK posts

        Wallace Alves
        Cyber Security Analyst · | 1 upvote · 632.3K views

        Docker Docker Compose Portainer ELK Elasticsearch Kibana Logstash nginx

        See more