Splunk is a powerful unified security and observability tool that analyzes data and logs. Splunk allows you to monitor and visualize data in real-time. It analyzes machine-generated data and logs through a web interface. While Splunk is a powerful platform, it might not suit your needs. In this post, we discuss 11 top Splunk alternatives that you can consider.
Splunk provides a wide range of tools for analyzing and visualizing your data fast and at scale. This way, you identify patterns, detect anomalies and make informed decisions. At its core,Splunk provides capabilitiessuch as:
- Unified security and observability
- Data collection and indexing
- Search and analysis
- Alerting and reporting
Based on these capabilities, Splunk is a versatile platform. It can be used for a wide range of use cases.
Let's briefly discuss these use cases:
- Log ManagementAs a log management tool, it collects and indexes logs from your application. This way, you can quickly search, analyze, and visualize log data in real time. The major importance of Splunk logs is to enable you to identify patterns, insights, and trends and troubleshoot issues faster.
- Security AnalysisSplunk monitors and analyze security-related data. This mainly includes analyzing network traffic and system logs to detect and respond to potential security threats. This helps organizations meet compliance requirements by providing visibility into security-related data and tracking user activity.
- Application PerformanceTraffic data allows Splunk to monitor the performance of applications. Splunk collects traffic, page load times, and user engagement data. This allows you to identify performance bottlenecks and improves the user experience where needed.
- Network infrastructure monitoringSplunk monitors network-related issues such as network traffic, device performance, and availability. This allows you to identify and diagnose issues within your network infrastructure.
Splunk has many use cases. However, there are some situations where you might consider using Splunk alternatives.
When not to use Splunk
Let's discuss scenarios that you would like to explore the Splunk alternatives:
- Scale - Splunk is designed for large machine-generated datasets. A basic log management and analysis tool would be ideal for analyzing and monitoring smaller data volumes.
- Cost constraints - Splunk's advanced capabilities can be costly to set up and maintain. Therefore, exploring other Splunk alternatives, especially when you have limited resources, is good to ensure a cost-effective approach.
- Limited technical expertise - Tools such as Splunk may require certain technical expertise to set up and maintain their advanced features and use cases. Without such necessary expertise, you can consider solutions that are easier to use and require less technical skill.
Let's discuss the Splunk alternatives you may consider based on your specific needs, resources, and goals.
Top Splunk Alternatives
SigNozis a full-stack open-source observability and performance monitoring platform. It provides features such as log aggregation, metric collection, traces, and alerting.
The key features of SigNoz include:
- Provides metrics, traces, and logs under integrated UI to help you visualize and quickly identify and resolve issues as they arise.
- It natively supportsOpenTelemetry, which generates and manages telemetry data to enable effective observability.
- It builds with developers in mind using the latest technologies such as Go Typescript and React.js.
SigNozmakes a good alternative for your system observability because:
- It is open source and thus easy to get started.
- It usesOpenTelemetry;which is quietly becoming the world standard for application instrumentation.
- Apart from monitoring application metrics such as latency, requests per second, and error rates, SigNoz allows you to monitor critical infrastructure metrics such as CPU utilization and memory usage.
- SigNoz allows you to create custom metrics dashboards based on infrastructure needs.
Logstash is an open-source data collection tool with real-time capabilities. It provides an easy-to-build pipeline for collecting data from different sources.
It's part of theElastic Stack(ELK). Logstash lets you collect, parse and transform data. You can then send the data to multiple destinations. These destinations include Elasticsearch, a search and analytics engine, log management and analysis tools, databases, monitoring systems, etc.
Like Splunk, Logstash collects data from various sources, such as log files, system metrics, and network traffic. It then processes that data using a variety of filters. These filters can be used to extract, transform, and simplify the data into a more structured format to make it easier to search and analyze.
However, they have key differences in terms of their functionality and architecture that you can consider choosing Logstash over Splunk. For example:
- Logstash is open-source and free to use. Thus a cost-effective alternative.
- It is part of the Elastic Stack ecosystem.
- Platform-agnostic for portability capabilities making it easier to run it on platforms of your choice.
- Seamless integration with other tools such as Elasticsearch, Kibana, Grafana, and Prometheus.
- Customization flexibility as its plugin system allows you to create customization and extension that meets your data inputs, outputs, and processing options.
Fluentd is an open-source log management and data collection tool. Just like Logstash,Fluentduses a pipeline-based architecture. This allows it to collect data from various sources and network traffic and forward it to various destinations.
Fluentd excels in real-time data processing and forwarding.Its main advantagesinclude:
- Great support for different input sources for log collection with multiple destination choices.
- Fluentd is focused on data processing, forward, and transformation, while Splunk has more advanced search, reporting, and visualization capabilities.
- Fluentd is open-source and free to use.
- Provide a pipeline of distributed architecture, while Splunk is a monolithic all-in-one platform and processes data internally.
Datadog is a cloud-based monitoring and analytics tool designed for infrastructures, cloud-scale applications, and logs. It offers a monitoring and security platform for cloud applications. Datadog provides integrations with other tools and services to make it easier to collect and analyze data from different sources.
You may consider choosing Datadog because of the following reason:
- Datadog is focused on monitoring and troubleshooting cloud-native applications and infrastructure. This makes it well-suited for monitoring the performance and health of cloud-native applications and infrastructure.
- Being cloud-native, it is easier to target cloud infrastructures, distributed systems, and microservices.
- Datadog has an extensive library of integrations with other tools and cloud-based services.
- Based on the fact Datadog is cloud-based, it becomes a great alternative for your cloud-native infrastructures such as Kubernetes.
Logz.io is an observability and security monitoring tool that provides cloud-based log analytics targeted at data security and minimizing the need for capacity management.
Logz.iois geared toward utilizing the most open-source tools for monitoring and analytics integrations. For example:
- It enables log analytics withOpenSearch.
- The log metric analytics are powered byPrometheus.
- It usesOpenTelemetryand Jaeger for trace analytics.
Logz.iooffers a free trial for its platform. Its cost-effective plan allows you to only pay depending on the scale and usage of the volume of data you ingest. It also natively supports cloud-based platforms, allowing you to analyze data instantly without needing installation, configuration, or maintenance.
Graylog is an open-source centralized log management and analytics tool. It collects, enhances, correlates, searches, and visualizes all your log data in one location to uncover patterns and trends for application and IT infrastructure.
Graylog provides similar capabilities to Splunk. However, unlike Splunk, it is open-source and provides more native support for cloud deployment solutions.
New Relic is a performance monitoring and analytics platform. It provides capabilities such as
- Improved observability
- Application Monitoring
- Infrastructure Monitoring
- Kubernetes Monitoring
- Log Management
- Errors inbox
- Browser Monitoring
New Relic provides about470+ integrations for seamless integration with other technologies. Its dashboard allows you to comfortably collect and analyze data to improve real-time monitoring, alerting, and historical data analysis for your entire stack.
Dynatrace is an AI-powered data platform. It uses AI-based technologies throughout your technology stack. This makes cloud processes more efficient, automates DevSecOps, and enables organizations to do more with less in the cloud.
This allows Dynatrace to automate performance monitoring, analytics, and infrastructure monitoring with digital experience and application security across different technologies and platforms.
AppDynamics is an observability tool for performance monitoring and analytics. It provides a comprehensive view of performance and applications health, cloud services, and IT infrastructure. AppDynamics provides features such as:
- Application Performance Management
- Business Transaction monitoring,
- Infrastructure monitoring
- Real-time alerting
- Root cause analysis
It uses customizable dashboards with a deeper understanding of user and application behavior.
It also provides multi-cloud support.AppDynamics Cloudprovides visibility with context via AIOps-driven alerts that assist organizations in identifying, prioritizing, and resolving the most business-critical matters first.
Mezmo is an observability pipeline platform for log analysis. It collects data from various sources, process it in real-time, and distributes it to multiple.
Its context utilizes real-time data enrichment and correlation to gain valuable insights and take action quickly. It then uses real-time alerts and access top-notch log analysis tools to let you take meaningful action on time.
Loggly is a cloud-based log analysis management tool. It provides full-stack observability to help you aggregate and analyze logs over massive volumes of data from differentlog sources. Loggly includes features such as:
- Log management to collect, store, and analyze log data from various sources.
- Real-time alerting to trigger alerts and notifications when specific conditions are met in the log data to identify and address performance issues quickly.
- Historical data analysis to analyze log data over time and identify trends and patterns.
- Search and filter to quickly find and analyze specific data in their log data.
The above tools help you centralize your application monitoring and observability practices. These Splunk alternatives can be used for your monitoring prerequisites. If you’re looking for a comprehensive tool that can serve all your observability needs, then you can choose SigNoz.
As SigNoz is a full-stack APM, it can act as a one-stop solution for metrics monitoring, distributed tracing, and log management. It is also based on OpenTelemetry, which frees you from any vendor lock-in.
Getting Started with SigNoz
SigNoz can be installed on macOS or Linux computers in just three steps by using a simple install script.
The install script automatically installs Docker Engine on Linux. However, on macOS, you must manually install Docker Enginebefore running the install script.
git clone -b main https://github.com/SigNoz/signoz.git
You can visit our documentation for instructions on how to install SigNoz using Docker Swarm and Helm Charts.
If you liked what you read, then check out our GitHub repo 👇
SigNoz - an open source lightweight ELK alternative
A practical guide to logging in microservices
Sumo Logic is a software-as-a-service (SaaS) logging platform that received attention for marketing itself as a cloud-based competitor to Splunk. Sumo Logic automatically scales to your log volume as a hosted service, claiming to support multiple terabytes of ingested data per day.Who is Splunk's biggest competitor? ›
Speaking broadly, Datadog monitors the performance of servers, databases, and infrastructure. Splunk is more focused on monitoring and analyzing data generated from various machines, converting it so that it can be analyzed by developers.Is Splunk open source? ›
No, Splunk is not an open source and there is a good amount of costing is associated with its usage. In this Is Splunk Open Source article, We will be discussing more about Splunk and why it is not an open source tool.Can Grafana replace Splunk? ›
To conclude, Grafana and Splunk are completely two different tools serving completely different purposes. Grafana would be great to visualize KPIs whereas Splunk would be great to search and query data among large volumes of logs.Why is elk better than Splunk? ›
Splunk uses the SPL language for querying whereas ELK uses the query DSL (Domain Specific Language). If we look at compression, Splunk is able to support compression whereas ELK does not. In terms of pricing, Splunk is initially much more costly to run than ELK, with pricing from $2,000 per GB per year.What is the future of Splunk? ›
In the coming months, new Splunk innovation will focus on adding more machine learning (ML) to its tools for advanced threat detection. That's according to Jane Wong, Splunk's vice president of security products.Does Amazon use Splunk? ›
AWS and Splunk provide a cloud-based, analytics-driven security information and event management (SIEM) solution that enables your security team to detect and respond to ransomware and other issues in real time.
Cisco's $20 billion acquisition offer, which is $13 billion more than its highest acquisition ever, comes after the company announced a 17% rise in net income and a 6% rise in revenue in Q2 2022 against Q2 2021.Why Datadog is better than Splunk? ›
The dashboard used in the Datadog tool can be easily customizable as per the requirements. There is no such option in the Splunk tool. The dashboard can not be customized or changed. The configuration and installation of the Datadog tool are comparatively easy from the Splunk tool.
New York City, New York, U.S.Does Splunk compete with Snowflake? ›
When comparing quality of ongoing product support, Splunk Enterprise and Snowflake provide similar levels of assistance. For feature updates and roadmaps, our reviewers preferred the direction of Snowflake over Splunk Enterprise.Does Google use Splunk? ›
What this partnership means for you. As organizations continue to adopt cloud-first initiatives, the powerful combination of Google Cloud's secure infrastructure and Splunk's Data-to-Everything platform allows innovators across the world to turn data into doing.Does the military use Splunk? ›
All four branches of the U.S. military and many agencies in the intelligence community already rely on Splunk to make confident decisions and take decisive action at mission speeds.Is Splunk in high demand? ›
Splunk just leads the bunch of all the security information and security events tools. As a result, Splunk careers are the most demanding and rewarding in the industry today.Is Dynatrace better than Splunk? ›
If the goal is application performance and end-user analytics then Dynatrace is the better solution. If the goal is security and threat analytics then Splunk is the right solution. Splunk and Dynatrace are two different solutions. Most organizations use both of them.Which is better Kibana or Splunk? ›
Splunk comes under the category of log management and analysis while Kibana is known as the monitoring tool. Setting up Kibana is quite easy as it is flexible and comes with easy-to-use interfaces. Splunk has a complex setup process but it offers powerful features with off-premise and on-premise integration.Why is elk so popular? ›
It offers powerful and easy-to-use features such as histograms, line graphs, pie charts, heat maps, and built-in geospatial support. Also, it provides tight integration with Elasticsearch, a popular analytics and search engine, which makes Kibana the default choice for visualizing data stored in Elasticsearch.Is there anything better than Elasticsearch? ›
ArangoDB is a great alternative to Elasticsearch. It is open source under the Apache v2 license. It does search engine duties similar to Elasticsearch but packs more — document, key-value, and graph stores. And the best part is it uses a single query language, AQL, for all these different data stores.Is Kibana like Splunk? ›
Kibana allows data formats like JSON; unlike Splunk, it does not allow all kinds of data, but it can be integrated with third parties to send data in the desired format. Splunk can take in any data formats like . csv, log files, JSON, etc. and is very flexible for integrating with other plugins or tools.
Splunk Components. The primary components in the Splunk architecture are the forwarder, the indexer, and the search head.What is equivalent of Splunk on AWS? ›
AWS CloudTrail and Splunk Cloud belong to "Log Management" category of the tech stack. Some of the features offered by AWS CloudTrail are: Increased Visibility- CloudTrail provides increased visibility into your user activity by recording AWS API calls.Is Splunk a competitor to Tableau? ›
The differences between Splunk and Tableau are explained in the points presented below: Splunk is used to monitor all machine activities including logins and actions taken on those machines under each user whereas Tableau provides pattern-based visualizations under a huge pile of data, on a real-time basis.What big companies use Splunk? ›
|California State University-Stanislaus||csustan.edu||1000-5000|
|Red Hat Inc||redhat.com||>10000|
You can use the Splunk Enterprise SDK for Python to perform a variety of actions in Splunk Enterprise, including searching data, developing custom UIs, and managing configurations for your instance. For more information about the Splunk Enterprise SDK for Python, see Splunk Enterprise SDK for Python.Is Splunk SaaS or PAAS? ›
Software as a Service (SaaS)Who is acquiring Splunk? ›
Cisco and Splunk are no strangers to one another. Splunk won …Why is Splunk stock so low? ›
Analyst Sees Challenges Beyond the Economy. Splunk shares were trading lower after an analyst from UBS said a variety of factors, not just economic challenges, appear to be behind a recent cut to one of the company's financial forecasts for the year.Is Splunk a good long term investment? ›
The financial health and growth prospects of SPLK, demonstrate its potential to underperform the market. It currently has a Growth Score of A. Recent price changes and earnings estimate revisions indicate this would not be a good stock for momentum investors with a Momentum Score of D.What is the future of Datadog? ›
Summary. The market opportunity for the company is huge as it's expected to be $53 billion by 2025, and the current 2022 expected revenues only make up 3% of that. Strong ability and track record to upsell and cross-sell as the percentage of customers that use at least six products expand by more than four times.
Expenses are rising
In Q3, Datadog lost $26 million -- a loss margin of 6%.
Prometheus is open source, and free. Splunk is a one-stop-shop for everything related to data management, and they can be used in a broad range of fields (IoT, IT, security, and business metrics). Splunk is a proprietary service that can't be used for free.Who is the competitor of Datadog? ›
Amazon CloudWatch competes against Datadog in the service monitoring segment. But Amazon CloudWatch only caters to service providers, while Datadog is a full-stack monitoring platform. Organizations can use CloudWatch with CloudWatch Logs and EKSorpersonalized metrics and dashboards to improve anomaly detection.Does Google use Datadog? ›
Datadog integrates with services like Google Cloud Run to collect data in real time, and automatically scales with GCP infrastructure by monitoring resources as soon as they are created.Why is Datadog so successful? ›
Their software is like an add-on platform that software engineers can use at any time. It is compatible with most the major software development tools and platforms of cloud providers. Hence developers and engineers are not required to change their computing methods if they want to use DataDog's tools.Who is Snowflake biggest competitor? ›
- Oracle Database.
- Amazon Redshift.
- DataStax Enterprise.
- Redis Enterprise Cloud.
- Cloudera Enterprise Data Hub.
- Couchbase Server.
Accenture and Splunk have partnered to bring data-driven solutions to clients by leveraging Splunk solutions with Accenture's high-performing services within IT, Security, Business Analytics, and IoT.How is Splunk different from Snowflake? ›
Overview. Splunk Enterprise is a cloud-based platform designed to assist businesses with big data management and analysis of machine... Snowflake is a cloud data platform that can enable critical data workloads and secure collaboration.Does the government use Splunk? ›
Confident decisions and actions at mission speeds
Thousands of U.S. public sector organizations use Splunk's security, IT and observability solutions, including: All three branches of the federal government and more than a dozen cabinet-level departments.
Security Onion App for Splunk software is designed to run on a Security Onion server, providing an alternative method for correlating events and incorporating field extractions and reporting for Sguil, Bro IDS and OSSEC.
Splunk is a software company that enables companies to collect, index, organize, search and analyze any type of time-series data using Amazon Web Services (AWS).Does Splunk have threat intelligence? ›
Threat Intelligence framework in Splunk ES. The Threat Intelligence framework is a mechanism for consuming and managing threat feeds, detecting threats, and alerting.Which Python does Splunk use? ›
x, Splunk Web supports only Python version 3.7. Any scripts that depend on Splunk Web must be upgraded to use syntax compatible with both Python 2.7 and 3.7.Can Splunk detect DDoS? ›
The SPLUNK detects any flags set in the packet and checks for the number of anomalous packets passing in the network. It can detect DDoS flooding attacks of several types. The system can be integrated into google maps to find the IPs with source and destination IP.How hard is IT to get a job at Splunk? ›
Is it hard to get a job at Splunk? People have reported that the interview at Splunk is medium. The interview process takes about a month. People have rated the overall interview experience as favorable.What is replacing Splunk Mint? ›
Updated 2/19/2021: Splunk MINT is no longer available for purchase as of January 29, 2021.Is Splunk similar to Tableau? ›
The differences between Splunk and Tableau are explained in the points presented below: Splunk is used to monitor all machine activities including logins and actions taken on those machines under each user whereas Tableau provides pattern-based visualizations under a huge pile of data, on a real-time basis.What is the difference between Kibana and Splunk? ›
Talking about Splunk, it provides a SaaS interface that analyses machine data efficiently. Splunk comes under the category of log management and analysis while Kibana is known as the monitoring tool. Setting up Kibana is quite easy as it is flexible and comes with easy-to-use interfaces.Which is better elk or Splunk? ›
Both solutions are relatively easy to deploy and use, especially considering each respective platform's breadth of features and capabilities. That said, Splunk's dashboards offer more accessible features and its configuration options are a bit more refined and intuitive than ELK/Elastic Stack's.Does Deloitte Use Splunk? ›
Securing Digital Business Outcomes
Together, Deloitte and Splunk assist organizations to achieve transformative digital business outcomes while enhancing their security posture via various joint offerings and managed services.
Accenture and Splunk have partnered to bring data-driven solutions to clients by leveraging Splunk solutions with Accenture's high-performing services within IT, Security, Business Analytics, and IoT.Is QRadar better than Splunk? ›
QRadar can rival Splunk on many features directly related to SIEM, but it provides a much deeper set of integrated security tools. In the end it comes down to needs. Those wanting an all-encompassing security and IT management platform will find Splunk closer to their needs.Is Splunk an AIOps? ›
We help our customers modernize their IT management by being the only AIOps platform with end-to-end service monitoring, predictive management and full-stack visibility across hybrid cloud environments.