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Stackstate VS CHAOSSEARCH

Compare Stackstate VS CHAOSSEARCH and see what are their differences

NinjaOne
NinjaOne (Formerly NinjaRMM) provides remote monitoring and management software that combines powerful functionality with a fast, modern UI. Easily remediate IT issues, automate common tasks, and support end-users with powerful IT management tools. sponsored
Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Stackstate logo Stackstate

StackState -- Next-Gen Monitoring and AIOps

CHAOSSEARCH logo CHAOSSEARCH

Transform your cloud storage into a Live Search + SQL + GenAI analytical database.
  • Stackstate Landing page
    Landing page //
    2020-04-13
  • CHAOSSEARCH Data visualization
    Data visualization //
    2023-12-12
  • CHAOSSEARCH Index data at scale - search results
    Index data at scale - search results //
    2023-12-12

ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform. Use cases include application observability, security analytics, product data analysis, and embedded analytics.

Our Chaos LakeDB is the first and only data lake database designed to power live Search, SQL, and Generative Artificial Intelligence (GenAI) analytics. By integrating with Amazon Web Servicesโ€™ (AWS) Amazon Simple Storage Service (Amazon S3), the preferred object store for millions of AWS customers of all sizes and industries, ChaosSearch helps merge the vast storage capabilities of data lakes with the accessibility of cloud databases. Eliminating the need for complex extract, transform, load (ETL) and extract, load, transform (ELT) processes, we offer live analytics while ensuring enhanced cost efficiency and performance at scale.

INTEGRATE CHAOSSEARCH INTO YOUR STACK TODAY!

  1. ChaosSearch is an ideal replacement for Elasticsearch (ELK stack) or Opensearch. With ChaosSearch, customers can perform scalable log analytics on AWS S3 or GCS, using familiar APIs for queries, and Kibana for log analytics and visualizations, while reducing costs and improving analytical capabilities.

  2. ChaosSearch helps customers centralize logs to extend retention and reduce their Datadog budget in one of two ways - Use only Datadog's monitoring tools, alongside ChaosSearch for centralized log management. Or, reduce Datadogโ€™s log retention to three days and use ChaosSearch for unlimited retention, with a cost savings of approximately 40%.

  3. ChaosSearch reduces security and observability costs for modern enterprises, replacing Splunk for long-term analysis. Customers can keep Splunk for key security workflows and centralize all other logs in ChaosSearch โ€“ achieving 50-80% savings with unlimited, long-term data retention.

Stackstate

Website
docs.stackstate.com
Pricing URL
-
Release Date
-
Edit details

CHAOSSEARCH

Website
chaossearch.io
Pricing URL
Official CHAOSSEARCH Pricing
Release Date
2017 January
Startup details
Country
United States
State
Massachusetts
City
Boston
Founder(s)
David Noblet
Employees
10 - 19
Edit details

Stackstate features and specs

  • Real-time Observability
    StackState provides real-time monitoring and visualization of an entire IT environment, helping identify and resolve issues quickly.
  • Topology Mapping
    It offers comprehensive topology mapping that helps users understand how different components and services in their infrastructure interact with one another.
  • Time Machine
    The platform includes a 'time travel' feature allowing users to visualize the state of their IT environment at different points in time, aiding in root cause analysis.
  • AI-Powered Insights
    StackState leverages machine learning to provide predictive insights and anomaly detection, enhancing proactive system management.
  • Integration Capabilities
    It supports integration with a wide array of tools and platforms, facilitating a seamless integration into existing workflows.

Possible disadvantages of Stackstate

  • Complex Setup
    For new users, the initial setup and configuration can be complex and time-consuming, potentially requiring specialized knowledge.
  • Resource Intensive
    The platform can be resource-intensive, needing significant infrastructure to operate efficiently, which might be a barrier for smaller organizations.
  • Pricing
    Depending on the scale and requirements, the cost of using StackState can be high, which might not be feasible for all businesses.
  • Steep Learning Curve
    Due to the advanced features and capabilities, there is often a steep learning curve involved for new users to fully leverage the system.
  • Limited Offline Functionality
    Reliance on internet connectivity may limit functionality in offline scenarios, potentially impacting environments with unstable connections.

CHAOSSEARCH features and specs

  • Scalability
    CHAOSSEARCH is designed to handle large volumes of data without requiring you to manage the underlying infrastructure, making it easy to scale as your data grows.
  • Cost Efficiency
    By decoupling storage and compute, CHAOSSEARCH optimizes resource use, potentially reducing costs compared to traditional data management systems.
  • Simplicity
    It offers a seamless integration with Amazon S3, allowing users to turn their existing cloud storage into a search and analytics platform without complex ETL processes.
  • Schema-on-Read
    It supports schema-on-read operations, which allows for more flexible and adaptable data analyses as it eliminates the need for upfront data transformation.
  • ElasticSearch Compatibility
    CHAOSSEARCH provides compatibility with Elasticsearch APIs, allowing users to leverage familiar tools and interfaces without significant retraining or changes to existing workflows.

Possible disadvantages of CHAOSSEARCH

  • Vendor Lock-in
    Since CHAOSSEARCH primarily operates within AWS infrastructure, organizations may risk vendor lock-in, limiting flexibility if they wish to migrate to other cloud providers.
  • Limited Ecosystem
    Compared to more established data platforms, CHAOSSEARCH may have a more limited ecosystem and community support, potentially slowing down troubleshooting and development.
  • Feature Limitations
    Some advanced features available in traditional data analytics platforms may not be fully supported, which could impact complex use cases or integrations.
  • Learning Curve
    Although compatibility with existing APIs is offered, users unfamiliar with such systems might still face a learning curve when first adopting the platform.
  • Dependency on S3
    The heavy reliance on Amazon S3 could pose challenges for companies with strategic reasons to minimize AWS dependency or those using alternative storage solutions.

Analysis of Stackstate

Overall verdict

  • StackState is a strong observability and topology-driven monitoring platform that excels at providing real-time insight into complex, dynamic IT environments through its automated topology visualization, time-travel analysis, and AI-driven anomaly detection, making it a solid choice for organizations seeking to reduce mean time to resolution.

Why this product is good

  • Offers a unique topology-centric approach that maps relationships and dependencies across your entire stack, helping teams understand how components affect one another
  • Provides time-travel functionality that lets you replay the state of your environment to pinpoint the root cause of incidents
  • Uses AI and machine learning for automated anomaly detection and predictive alerting, reducing alert noise and speeding up troubleshooting
  • Integrates with a broad range of monitoring tools, cloud platforms, and Kubernetes environments, consolidating data into a single pane of glass
  • Well-documented setup and configuration guides available at docs.stackstate.com support smoother onboarding and adoption

Recommended for

  • Enterprises managing large, complex, and distributed IT infrastructures
  • DevOps and SRE teams focused on reducing mean time to resolution (MTTR)
  • Organizations running Kubernetes and cloud-native workloads needing deep topology visibility
  • Teams looking to consolidate multiple monitoring tools into a unified observability platform
  • Businesses that require root-cause analysis and historical state investigation for incident management

Stackstate videos

+ Add

The 3T Data Model of StackState: Topology, Telemetry and Time

More videos:

  • Review - StackState Full Stack Observability
  • Review - Monitoring Maturity Model, Lodewijk Bogaards, Stackstate

CHAOSSEARCH videos

+ Add

ChaosSearch Overview Demo

Category Popularity

0-100% (relative to Stackstate and CHAOSSEARCH)

Stackstate

CHAOSSEARCH

Monitoring Tools
15 15%
Monitoring Tools
85% 85
Log Management
16 16%
Log Management
84% 84
Performance Monitoring
100 100%
Performance Monitoring
0% 0
Business & Commerce
0 0%
Business & Commerce
100% 100

Questions & Answers

As answered by people managing Stackstate and CHAOSSEARCH.

Who are some of the biggest customers of your product?

CHAOSSEARCH's answer:

Equifax Armor Transeo BAI Communications Revinate

What makes your product unique?

CHAOSSEARCH's answer:

Our Chaos LakeDB is the first and only data lake database designed to power live Search, SQL, and Generative Artificial Intelligence (GenAI) analytics. By integrating with Amazon Web Servicesโ€™ (AWS) Amazon Simple Storage Service (Amazon S3), the preferred object store for millions of AWS customers of all sizes and industries, ChaosSearch helps merge the vast storage capabilities of data lakes with the accessibility of cloud databases. Eliminating the need for complex extract, transform, load (ETL) and extract, load, transform (ELT) processes, we offer live analytics while ensuring enhanced cost efficiency and performance at scale.

Why should a person choose your product over its competitors?

CHAOSSEARCH's answer:

Reduced Time, Cost & Complexity

  1. Real-Time Analytics & Full Historical Context
  2. Minute time-to-glass; Seconds query resolution
  3. Auto-schema detection & dynamic mapping for easy setup & live data use cases

  4. Unlimited retention without rehydration needs

  5. Unmatched Cost-Performance at Scale

  6. Data only in cloud storage

  7. Chaos Indexยฎ is 5-20x smaller than raw

  8. Small data = Small compute

  9. Stateless = Compute just for ingest & query, not store

  10. Unified Live Search+ SQL+GenAI Analytics

  11. Single platform across operational & business use cases

  12. All data stored in customers' cloud storage with granular RBAC

  13. No sharding, partitioning, schema management including of nested data

  14. Auto-scaling & seamless upgrades

ChaosSearch is an ideal replacement for Elasticsearch (ELK stack) or Opensearch. With ChaosSearch, customers can perform scalable log analytics on AWS S3 or GCS, using familiar APIs for queries, and Kibana for log analytics and visualizations, while reducing costs and improving analytical capabilities.

ChaosSearch helps customers centralize logs to extend retention and reduce their Datadog budget in one of two ways - Use only Datadog's monitoring tools, alongside ChaosSearch for centralized log management. Or, reduce Datadogโ€™s log retention to three days and use ChaosSearch for unlimited retention, with a cost savings of approximately 40%.

ChaosSearch reduces security and observability costs for modern enterprises, replacing Splunk for long-term analysis. Customers can keep Splunk for key security workflows and centralize all other logs in ChaosSearch โ€“ achieving 50-80% savings with unlimited, long-term data retention.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Stackstate and CHAOSSEARCH

Stackstate Reviews

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CHAOSSEARCH Reviews

Best Log Management Tools: Useful Tools for Log Management, Monitoring, Analytics, and More
ChaosSearch has developed a brand new approach to delivering data analytics and insights at scale. Their platform connects to and indexes the data within our customersโ€™ cloud storage environments (ie., AWS S3), rendering all of their data fully searchable and available for analysis with the existing data visualization/analysis tools they are already using. Whereas all other...
Source: stackify.com

What are some alternatives?

When comparing Stackstate and CHAOSSEARCH, you can also consider the following products

Splunk Enterprise - Splunk Enteprise is the fastest way to aggregate, analyze and get answers from your machine data with the help machine learning and real-time visibility.

Devo - Devo delivers real-time operational & business value from analytics on streaming and historical data to operations.

AppDynamics - Get real-time insight from your apps using Application Performance Managementโ€”how theyโ€™re being used, how theyโ€™re performing, where they need help.

Blumira - Blumira's threat detection platform offers both automated threat detection and response, enabling organizations of any size to more efficiently defend against cybersecurity threats in near real-time.

LogicMonitor - LogicMonitor is the SaaS performance monitoring platform for the world's best IT teams. Deploy Fast, Monitor More, Improve Ops.

Komodor - The Kubernetes native troubleshooting platform

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