Splunk Cloud vs Stackdriver

Overview

Splunk Cloud

Stacks170

Followers438

Votes15

Stackdriver

Stacks318

Followers349

Votes67

Splunk Cloud vs Stackdriver: What are the differences?

Introduction: When choosing a logging and monitoring solution for your cloud environment, it's essential to understand the key differences between Splunk Cloud and Stackdriver. Both platforms offer unique features and capabilities that cater to different needs, making it crucial to compare them before making a decision.

Integration Capabilities: Splunk Cloud provides seamless integration with various third-party systems and applications, allowing for easy data ingestion from multiple sources. On the other hand, Stackdriver is tightly integrated with Google Cloud Platform services, providing native monitoring and logging solutions for GCP resources. This makes Splunk Cloud a better choice for organizations with diverse cloud environments, while Stackdriver offers a streamlined experience for GCP users.
Data Retention and Storage: Splunk Cloud offers flexible data retention options, allowing users to store and analyze logs for an extended period. Stackdriver, on the other hand, has limitations on data retention and storage, making it more suitable for real-time monitoring and short-term analysis. Organizations that require long-term log retention may prefer Splunk Cloud for its scalability and storage capabilities.
Machine Learning and AI Capabilities: Splunk Cloud provides advanced machine learning and AI capabilities for anomaly detection, predictive analytics, and root cause analysis. Stackdriver also offers machine learning features for log analysis and monitoring, but its capabilities may be more limited compared to Splunk Cloud. Organizations seeking robust AI-driven insights may find Splunk Cloud more suitable for their needs.
Customization and Extensibility: Splunk Cloud offers extensive customization options, allowing users to create custom dashboards, alerts, and reports tailored to their specific requirements. Stackdriver provides a more standardized monitoring experience with predefined metrics and alerts, limiting the level of customization available. Organizations looking for highly tailored monitoring and reporting solutions may lean towards Splunk Cloud for its flexibility.
Cost and Pricing Model: Splunk Cloud follows a consumption-based pricing model, where users pay based on the volume of data ingested and stored. In contrast, Stackdriver offers a more predictable pricing structure, with pricing tiers based on the features and capabilities used. Organizations with fluctuating data volumes may find Splunk Cloud's pricing model more cost-effective, while those with consistent monitoring needs may prefer Stackdriver's predictable pricing.
Community Support and Ecosystem: Splunk Cloud boasts a large community of users, developers, and partners, providing a robust ecosystem for support, plugins, and integrations. Stackdriver, being a Google Cloud Platform service, offers strong integration with GCP services and Google's wider ecosystem. Organizations looking for a vibrant user community and extensive plugin support may opt for Splunk Cloud, while those heavily invested in the Google Cloud ecosystem may choose Stackdriver for its seamless integration.

In Summary, understanding the key differences between Splunk Cloud and Stackdriver is crucial in selecting the right logging and monitoring solution for your cloud environment.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Splunk Cloud, Stackdriver

Jigar

Security Software Engineer at Cisco

Jul 2, 2020

Needs adviceon

AWS IAM

Amazon EC2

Splunk Cloud

We would like to detect unusual config changes that can potentially cause production outage.

Such as, SecurityGroup new allow/deny rule, AuthZ policy change, Secret key/certificate rotation, IP subnet add/drop. The problem is the source of all of these activities is different, i.e., AWS IAM, Amazon EC2, internal prod services, envoy sidecar, etc.

Which of the technology would be best suitable to detect only IMP events (not all activity) from various sources all workload running on AWS and also Splunk Cloud?

168k views168k

Comments

Detailed Comparison

Splunk Cloud	Stackdriver
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.	Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.
Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes*; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);	Monitoring;Logging;Diagnostics;Application Tracing;Error Reporting;Alerting;Uptime Monitoring;Multi-cloud;Production Debugger;
Statistics
Stacks 170	Stacks 318
Followers 438	Followers 349
Votes 15	Votes 67
Pros & Cons
Pros 7 More powerful & Integrates with on-prem & off-prem 3 Powerful log analytics 3 Free 1 Pci compliance 1 Production debugger	Pros 19 Monitoring 11 Logging 8 Alerting 7 Tracing 6 Uptime Monitoring Cons 2 Not free
Integrations
AWS CloudFormation AWS CloudTrail	No integrations available

What are some alternatives to Splunk Cloud, Stackdriver?

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.

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!

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Related Comparisons

Splunk Cloud vs Stackdriver: What are the differences?

Integration Capabilities: Splunk Cloud provides seamless integration with various third-party systems and applications, allowing for easy data ingestion from multiple sources. On the other hand, Stackdriver is tightly integrated with Google Cloud Platform services, providing native monitoring and logging solutions for GCP resources. This makes Splunk Cloud a better choice for organizations with diverse cloud environments, while Stackdriver offers a streamlined experience for GCP users.
Data Retention and Storage: Splunk Cloud offers flexible data retention options, allowing users to store and analyze logs for an extended period. Stackdriver, on the other hand, has limitations on data retention and storage, making it more suitable for real-time monitoring and short-term analysis. Organizations that require long-term log retention may prefer Splunk Cloud for its scalability and storage capabilities.
Machine Learning and AI Capabilities: Splunk Cloud provides advanced machine learning and AI capabilities for anomaly detection, predictive analytics, and root cause analysis. Stackdriver also offers machine learning features for log analysis and monitoring, but its capabilities may be more limited compared to Splunk Cloud. Organizations seeking robust AI-driven insights may find Splunk Cloud more suitable for their needs.
Customization and Extensibility: Splunk Cloud offers extensive customization options, allowing users to create custom dashboards, alerts, and reports tailored to their specific requirements. Stackdriver provides a more standardized monitoring experience with predefined metrics and alerts, limiting the level of customization available. Organizations looking for highly tailored monitoring and reporting solutions may lean towards Splunk Cloud for its flexibility.
Cost and Pricing Model: Splunk Cloud follows a consumption-based pricing model, where users pay based on the volume of data ingested and stored. In contrast, Stackdriver offers a more predictable pricing structure, with pricing tiers based on the features and capabilities used. Organizations with fluctuating data volumes may find Splunk Cloud's pricing model more cost-effective, while those with consistent monitoring needs may prefer Stackdriver's predictable pricing.
Community Support and Ecosystem: Splunk Cloud boasts a large community of users, developers, and partners, providing a robust ecosystem for support, plugins, and integrations. Stackdriver, being a Google Cloud Platform service, offers strong integration with GCP services and Google's wider ecosystem. Organizations looking for a vibrant user community and extensive plugin support may opt for Splunk Cloud, while those heavily invested in the Google Cloud ecosystem may choose Stackdriver for its seamless integration.

In Summary, understanding the key differences between Splunk Cloud and Stackdriver is crucial in selecting the right logging and monitoring solution for your cloud environment.

Splunk Cloud vs Stackdriver

Overview