List of Chaos LakeDB Customers
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Since 2010, our global team of researchers has been studying Chaos LakeDB customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Chaos LakeDB for Data Warehouse from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Chaos LakeDB for Data Warehouse include: Cisco Systems, a United States based Professional Services organisation with 90400 employees and revenues of $53.80 billion, Equifax, a United States based Professional Services organisation with 15000 employees and revenues of $5.68 billion, Revinate, a United States based Professional Services organisation with 480 employees and revenues of $107.0 million and many others.
Contact us if you need a completed and verified list of companies using Chaos LakeDB, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cisco Systems | Professional Services | 90400 | $53.8B | United States | ChaosSearch | Chaos LakeDB | Data Warehouse | 2020 | n/a |
In 2020, Cisco Systems deployed Chaos LakeDB as a Data Warehouse solution for Talos security analytics. Cisco Systems configured Chaos LakeDB to index massive telemetry for security and observability analytics, providing a searchable reservoir of raw and processed event data to support threat detection workflows.
The Chaos LakeDB implementation emphasizes high-volume indexing and query acceleration capabilities consistent with Data Warehouse deployments, with configuration focused on indexing telemetry streams, supporting ad hoc large-scale queries, and feeding analytics pipelines for security operations. Chaos LakeDB provides the core storage and query layer used by Talos to run observability workloads and threat hunting routines.
The implementation integrates with AWS infrastructure, leveraging Amazon S3 Express One Zone as the object storage tier for indexed telemetry according to AWS and ChaosSearch materials. Operational ownership resides with Cisco Talos security analytics, and the Data Warehouse deployment centralizes telemetry indexing to enable cross-source querying for incident investigation and analytics.
AWS and ChaosSearch reporting cites compute and cost improvements up to approximately 60 percent for Cisco security analytics workloads when using Chaos LakeDB with S3 Express One Zone. These outcomes include improved threat detection performance and the ability to run large-scale telemetry queries as part of Talos observability and analytics operations.
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Equifax | Professional Services | 15000 | $5.7B | United States | ChaosSearch | Chaos LakeDB | Data Warehouse | 2021 | n/a |
In 2021 Equifax deployed Chaos LakeDB as part of its ChaosSearch Cloud Data Platform to centralize operational analytics logs for engineering, compliance, and customer-service teams across its global environment. Chaos LakeDB was used as a Data Warehouse layer to retain, index, and enable query access to high volume log data, supporting longer retention and faster MTTR for operational teams.
The implementation focused on scalable ingestion and storage architecture, and the deployment was on track to ingest approximately 50 TB per day in 2022, consistent with enterprise log analytics workloads. Functional capabilities implemented included centralized log indexing, long term retention management, and query access for operational analytics, aligning Data Warehouse workflows with search and retrieval needs across distributed engineering and compliance operations.
Operational governance centralized data access for engineering, compliance, and customer-service teams, standardizing access controls and incident response workflows tied to the centralized analytics layer. The deployment also delivered approximately 90 percent cost savings versus the existing stack and enabled extended retention windows and faster incident resolution, as reported in vendor customer reporting.
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Revinate | Professional Services | 480 | $107M | United States | ChaosSearch | Chaos LakeDB | Data Warehouse | 2020 | n/a |
In 2020, Revinate deployed Chaos LakeDB from ChaosSearch to provide a centralized analytics store for log analytics and for product and operations insights. The implementation positioned Chaos LakeDB as a Data Warehouse layer to index and query high-volume event and log data while preserving the existing Kibana user experience for analysts and product teams.
Chaos LakeDB was configured to support continuous log ingestion, full text search and query servicing, and retention policy enforcement aligned to product and operations use cases. The deployment preserved the Kibana UX for end users, enabling existing dashboards and visualizations to remain in use without retraining, while shifting indexing and storage responsibilities to the lake-backed index.
Operational integration retained Kibana as the analytics front end, connecting current visualization workflows to Chaos LakeDB as the underlying Data Warehouse. The architecture removed manual re-index and shard management by consolidating indexing into the managed lake-backed index, and customer notes cite about 30 percent monthly cost savings compared to hosting ELK on EC2.
Governance emphasized reducing engineering operational toil by centralizing log analytics in Chaos LakeDB and standardizing ingestion pipelines and retention controls across product and operations teams. This implementation freed engineering cycles previously consumed by index and shard maintenance and eliminated re-index and shard toil according to the customer account.
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Buyer Intent: Companies Evaluating Chaos LakeDB
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