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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

LakeSentry is a sophisticated software solution designed for cost monitoring and optimization specifically for teams utilizing Databricks. It seamlessly integrates with your Databricks environment, providing automatic tracking of expenditures across various areas such as workspaces, jobs, SQL warehouses, and individual users, enabling both platform and FinOps teams to understand their spending without the need for tedious manual checks. In addition to offering enhanced visibility, LakeSentry actively identifies cost anomalies and areas of idle expenditure, implementing optimization measures through a secure and gradual process that begins with shadow mode (where only recommendations are provided), advances to manual approval, and can ultimately culminate in fully automated execution if desired. Available as a Software-as-a-Service (SaaS) solution, LakeSentry includes a free tier along with flat-rate monthly subscriptions that come without additional charges per DBU or workspace. Key features include automatic cost attribution across various components of the Databricks ecosystem, real-time detection of anomalies and wasted resources, a multi-stage optimization process encompassing shadow, manual, and autopilot modes, and a native compatibility with Databricks, being aware of Unity Catalog usage and cluster lifecycle. The pricing structure is straightforward, allowing for unlimited workspaces under one flat rate, making it an accessible choice for teams looking to optimize their cloud expenditures. With these features, LakeSentry empowers organizations to manage their Databricks costs effectively while enhancing operational efficiency.

Description

Zipher is an innovative optimization platform that autonomously enhances the performance and cost-effectiveness of workloads on Databricks by removing the need for manual tuning and resource management, all while making real-time adjustments to clusters. Utilizing advanced proprietary machine learning algorithms, Zipher features a unique Spark-aware scaler that actively learns from and profiles workloads to determine the best resource allocations, optimize configurations for each job execution, and fine-tune various settings such as hardware, Spark configurations, and availability zones, thereby maximizing operational efficiency and minimizing waste. The platform continuously tracks changing workloads to modify configurations, refine scheduling, and distribute shared compute resources effectively to adhere to service level agreements (SLAs), while also offering comprehensive cost insights that dissect expenses related to Databricks and cloud services, enabling teams to pinpoint significant cost influencers. Furthermore, Zipher ensures smooth integration with major cloud providers like AWS, Azure, and Google Cloud, and is compatible with popular orchestration and infrastructure-as-code (IaC) tools, making it a versatile solution for various cloud environments. Its ability to adaptively respond to workload changes sets Zipher apart as a crucial tool for organizations striving to optimize their cloud operations.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Databricks
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt

Integrations

Databricks
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Google Cloud Platform
Microsoft Azure
Slack
Terraform
dbt

Pricing Details

$250/month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Dark Lake

Founded

2026

Country

United States

Website

darklakeside.com

Vendor Details

Company Name

Zipher

Founded

2023

Country

United States

Website

zipher.cloud/

Product Features

Cloud Cost Management

Cost Reduction Optimization
Dashboard
Data Import/Export
Data Storage
Data Visualization
Resource Usage Reporting
Roles / Permissions
Spend and Cost Reporting

Alternatives

No Alternatives

Alternatives

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