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    ChaosSearch Data Lake Platform

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    The ChaosSearch Data Lake Platform indexes your Amazon S3 data, enabling search, SQL and machine learning workloads with infinite scale, lower cost, no data movement, and faster time to insights.

    Overview

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    ChaosSearch is an AWS Advanced Technology Partner that enables customers to Know Better™ by unleashing their ability to find, access, and analyze information in their Amazon S3 cloud storage. ChaosSearch transforms your Amazon S3 into a hot analytical data lake that works with existing analytics tools.

    The ChaosSearch Data Lake Platform indexes customers' Amazon S3 data, enabling search, SQL and machine learning workloads with infinite scale, lower cost, no data movement, and faster time to insights. Whereas all other solutions require complex data pipelines consisting of parsing or schema changes, ChaosSearch indexes all data as-is, without transformation, while optimizing for both data size and performance. Through open APIs, users continue working in the tools they know and trust, such as Kibana, Elastic, Looker, and Tableau.

    ChaosSearch and AWS overcome the cost and complexity of competitive solutions, unlocking data retention limits and reducing costs up to 80%.

    ChaosSearch is a fully managed service and is priced based on the ingest rate of data into Amazon S3. Unlike other solutions, ChaosSearch eliminates administrative toil such as re-indexing, sharding, load balancing, and managing compute and storage. Our customers enjoy unlimited data retention, enabling analysis back to any point in time. ChaosSearch customers typically realize up to 80% direct cost savings vs. a traditional log analytics solution like the self-hosted ELK stack.

    Highlights

    • Immediate, Complete Access without Movement - No load balancing, no re-indexing, no managing trade-offs between cluster resources and amount of data retained, and no need to transform your data to a different schema.
    • Unlimited Data Retention - By having access to all of your data over time, analysis can take place over any time horizon, delivering significantly better insights.
    • Rapid Time to Value - Connect to S3, access data, analyze with your existing analytics tools via native integrations and open APIs.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    ChaosSearch Data Lake Platform

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Avg GB/Day Ingest
    Annual ChaosCloud Service (per GB) with Unlimited Retention
    $288.00

    Additional usage costs (1)

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    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    Additional charge (per GB). Price outlined by the contract price.
    $1.00

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Support is available directly in the ChaosSearch console via the Chat widget allowing you to connect directly with the ChaosSearch Customer Success Team. support@chaossearch.com 

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Updated weekly
    By ChaosSearch, Inc.
    By Observe, Inc.
    By Coralogix

    Accolades

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    Top
    100
    In Log Analysis, Analytic Platforms
    Top
    10
    In Application Performance and UX Monitoring
    Top
    10
    In Data Analytics, Log Analysis, Monitoring

    Customer reviews

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    Sentiment is AI generated from actual customer reviews on AWS and G2
    Reviews
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    Ease of use
    Customer service
    Cost effectiveness
    2 reviews
    Insufficient data
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    2 reviews
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    Overview

     Info
    AI generated from product descriptions
    Data Indexing
    Indexes Amazon S3 data without transformation, optimizing for data size and performance
    Analytics Integration
    Supports search, SQL, and machine learning workloads through open APIs with tools like Kibana, Elastic, Looker, and Tableau
    Cloud Storage Transformation
    Converts Amazon S3 into a hot analytical data lake with native indexing capabilities
    Data Access Architecture
    Enables direct data access without complex data pipelines, parsing, or schema changes
    Scalability Mechanism
    Provides infinite scale data analysis with no administrative overhead for re-indexing, sharding, or load balancing
    Data Lake Architecture
    Centralized data ingestion into AWS S3 with 10x compression for efficient event data storage
    Data Graph Technology
    Connected datasets representation enabling rapid context-based investigation across different system components
    Multi-Environment Integration
    Pre-built library of Data Apps supporting integration with Kubernetes, cloud platforms, and development tools
    Event Data Ingestion
    Comprehensive data collection capability with over 250 integration points across different systems and platforms
    Observability Data Correlation
    Automated graph-based correlation of datasets spanning customer interactions, infrastructure logs, and application metrics
    Stream Processing Technology
    Proprietary Streama© technology for real-time data ingestion and analysis of logs, metrics, tracing, and security data
    Machine Learning Monitoring
    Machine learning algorithms continuously monitor data patterns and flows between system components to trigger dynamic alerts
    Multi-Source Data Ingestion
    Capability to connect and aggregate data from any source in any format with support for multiple visualization platforms
    In-Stream Analytics
    Advanced analytics performed on data streams without relying on traditional storage or indexing mechanisms
    Auto-Scaling Infrastructure
    Advanced auto-scaling techniques that seamlessly adapt to different environment scales and processing demands

    Contract

     Info
    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    0 ratings
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    0 AWS reviews
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    3 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    reviewer2593014

    Cost-effective logging solution with room for search and interface improvement

    Reviewed on Nov 12, 2024
    Review provided by PeerSpot

    What is our primary use case?

    Our primary use case is logging for everything within the company. We have a custom LogShipper, and for whatever deployments we have, we add the LogShipper into our containers, apply customer configurations to parse log files, and send desired fields to ChaosSearch . We then review logs on ChaosSearch .

    How has it helped my organization?

    During my time at the company, I didn't see any improvements from using ChaosSearch. We faced some struggles, and it's unclear whether the problem was with the search function itself or due to incorrect configuration by our team.

    What is most valuable?

    ChaosSearch is considered a cheaper alternative to Elastic. The decision to choose this vendor was likely influenced by its lower cost, especially as pricing was a major concern. It also provides the same tooling set as Elastic, including open-source Elasticsearch and Kibana query language.

    What needs improvement?

    The user interface could be more intuitive and requires improvement. The search function often feels wonky, making it difficult to find specific messages. There should be documentation or feature enhancements to aid in more accurate searches.

    For how long have I used the solution?

    I have been using ChaosSearch for a little over a year.

    What do I think about the stability of the solution?

    ChaosSearch appears to be stable, as I have not experienced any crashes or downtimes.

    What do I think about the scalability of the solution?

    Scalability-wise, I haven't seen any issues with ChaosSearch, although finding specific messages is challenging due to limitations with searching logs.

    How are customer service and support?

    I haven't heard about any technical support being provided for ChaosSearch.

    How would you rate customer service and support?

    Neutral

    Which solution did I use previously and why did I switch?

    Before ChaosSearch, some teams might have used OpenSearch . However, ChaosSearch has become standardized across the company.

    How was the initial setup?

    The initial setup was handled by another team, and they provided the necessary installation packages and configurations, so I have no personal experience.

    What about the implementation team?

    The setup and maintenance are managed internally by another team within the company.

    What was our ROI?

    ChaosSearch provides the functionality expected for logging. That said, it's challenging to find the specific messages needed.

    What's my experience with pricing, setup cost, and licensing?

    Pricing was a significant factor in choosing ChaosSearch, especially as an alternative to more expensive solutions like Elastic.

    Which other solutions did I evaluate?

    The company might have considered Elastic and OpenSearch , and the primary reason for switching was cost.

    What other advice do I have?

    I am not familiar enough with search solutions to compare ChaosSearch to others critically, but OpenSearch might be preferable due to its open-source nature and integration with AWS .

    I'd rate the solution six out of ten.

    Which deployment model are you using for this solution?

    Public Cloud

    If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?

    Other
    Ravi C.

    AWS S3 Index Lifecycle Management & Metric Evaluation with ChaosSearch Data Lake Platform

    Reviewed on Mar 21, 2022
    Review provided by G2
    What do you like best about the product?
    ChaosSearch platform facilitates a powerful analytics platform for indexing our Amazon S3 storage without any requirements for data movement. Since its a fully managed service, it's a secure, highly scalable and resilient log analytics platform. It effectively allows defining our discovery and query management through Elastic API or Kibana interface for Big Data analytics.
    What do you dislike about the product?
    It offers index views that have capabilities for data controls, column type transformation and end-user visualization options. We can set ranges through its index windows feature for limiting our analytics and for case-sensitive querying. There is nothing to dislike on ChaosSearch platform features for our log analytics, metrics evaluation and end-user visualization provisions.
    What problems is the product solving and how is that benefiting you?
    We select our object groups, refine index list requirements and specify visualization ranges to limit views using the ChaosSearch platform. Its Lifecycle management allows us to define the longevity of indexed data stored in our Amazon S3 buckets. Its Metrics Dashboard gives explicit visualization of various factors such as Total Indexes, Total Queries, Index events, etc which offers great visibility and convenience for our cloud platform insights.
    Jimmy M.

    Most Impactful Data Decision We've Made

    Reviewed on Feb 14, 2020
    Review provided by G2
    What do you like best about the product?
    CHAOSSEARCH has completely changed the way that we look at data within our organization. Previously we were trying to pull insights from disparate data sources and attempting to share those insights with members on our team - it wasn't working. CHAOSSEARCH brought sanity and organization to our data pipelines while also being cost effective. Any time I hear about a company struggling with data analysis or looking for a new solution I enthusiastically endorse CHAOSSEARCH - I couldn't be happier.
    What do you dislike about the product?
    Honestly, can't really think of much. I have been incredibly pleased with CHAOSSEARCH and grateful to be a customer.
    What problems is the product solving and how is that benefiting you?
    We are solving a retention problem that we had in terms of storing our data. As a result of using CHAOSSEARCH, we are now able to effectively store and query on logs from long time periods, increasing our operational efficiency.
    Recommendations to others considering the product:
    Lean on the support and implementation team members that they offer. Their experience and willingness to help goes above and beyond.
    View all reviews