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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

The Unity Catalog from Databricks stands out as the sole comprehensive and open governance framework tailored for data and artificial intelligence, integrated within the Databricks Data Intelligence Platform. This innovative solution enables organizations to effortlessly manage structured and unstructured data in various formats, in addition to machine learning models, notebooks, dashboards, and files on any cloud or platform. Data scientists, analysts, and engineers can securely navigate, access, and collaborate on reliable data and AI resources across diverse environments, harnessing AI capabilities to enhance efficiency and realize the full potential of the lakehouse architecture. By adopting this cohesive and open governance strategy, organizations can foster interoperability and expedite their data and AI projects, all while making regulatory compliance easier to achieve. Furthermore, users can quickly identify and categorize both structured and unstructured data, including machine learning models, notebooks, dashboards, and files, across all cloud platforms, ensuring a streamlined governance experience. This comprehensive approach not only simplifies data management but also encourages a collaborative culture among teams.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Databricks
Amazon Redshift
Apache Kafka
Apache Spark
Azure SQL Database
Daft
DinMo
Google Cloud BigQuery
Hackolade
LangChain
MLflow
Microsoft Fabric
MySQL
Noma
PostgreSQL
Snowflake
StarRocks
Tecton
Trino
Unstructured

Integrations

Databricks
Amazon Redshift
Apache Kafka
Apache Spark
Azure SQL Database
Daft
DinMo
Google Cloud BigQuery
Hackolade
LangChain
MLflow
Microsoft Fabric
MySQL
Noma
PostgreSQL
Snowflake
StarRocks
Tecton
Trino
Unstructured

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

Databricks

Founded

2013

Country

United States

Website

www.databricks.com/product/unity-catalog

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

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Alternatives

No Alternatives

Alternatives