Data Lake
The best Data Lake Products based on votes, our collection of reviews, verified products and a total of 14 factors.
Best Data Lake Products in 2025
- Open-Source Data Lake products
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AWS Lake Formation is a service that lets you build, secure, and manage your data lake on AWS, reducing the set up time from months to days.
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Transform your cloud storage into a Live Search + SQL + GenAI analytical database.
Key CHAOSSEARCH features:
Scalability Cost Efficiency Simplicity Schema-on-Read
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Learn about Amazon Redshift cloud data warehouse.
Key Amazon Redshift features:
Scalability Performance Integration Cost-effective
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Explore and analyze the data in and around your data lake.
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Octopussy, Log Management Solution.
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Event log management software. Monitor real-time logs from numerous data sources in a single pane with our log monitoring tool, InTrust.
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WhatsUp Gold Log Management lets users monitor, filter, search and alert on syslogs and Windows logs as well as meta trends like log volume changes.
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View a timeline of Splunk's acquisitions to-date.
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Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
Key Snowflake features:
Scalability Performance Ease of Use Data Sharing
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Splunk's operational intelligence platform helps unearth intelligent insights from machine data.
Key Splunk features:
Powerful Data Analysis Real-Time Processing Scalability Wide Range of Integrations
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A fully managed data warehouse for large-scale data analytics.
Key Google BigQuery features:
Scalability Speed Integrations Automatic Optimization
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One platform for accelerating data-driven innovation across data engineering, data science & business analytics.
Key Databricks Unified Analytics Platform features:
Scalability Integrated Environment Collaborative Workspace Lakehouse Architecture
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DataDog Log Management is a trusted and nimble software that is surfacing the log analysis with complete visualizations and prediction.
Key DataDog Log Management features:
Centralized Logging Scalability Integration Real-Time Monitoring