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features
design
support

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Write a Review

Description

Harness the power of your data and create innovative artificial intelligence (AI) solutions using Azure Databricks, where you can establish your Apache Spark™ environment in just minutes, enable autoscaling, and engage in collaborative projects within a dynamic workspace. This platform accommodates multiple programming languages such as Python, Scala, R, Java, and SQL, along with popular data science frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. With Azure Databricks, you can access the most current versions of Apache Spark and effortlessly connect with various open-source libraries. You can quickly launch clusters and develop applications in a fully managed Apache Spark setting, benefiting from Azure's expansive scale and availability. The clusters are automatically established, optimized, and adjusted to guarantee reliability and performance, eliminating the need for constant oversight. Additionally, leveraging autoscaling and auto-termination features can significantly enhance your total cost of ownership (TCO), making it an efficient choice for data analysis and AI development. This powerful combination of tools and resources empowers teams to innovate and accelerate their projects like never before.

Description

Pepperdata autonomous, application-level cost optimization delivers 30-47% greater cost savings for data-intensive workloads such as Apache Spark on Amazon EMR and Amazon EKS with no application changes. Using patented algorithms, Pepperdata Capacity Optimizer autonomously optimizes CPU and memory in real time with no application code changes. Pepperdata automatically analyzes resource usage in real time, identifying where more work can be done, enabling the scheduler to add tasks to nodes with available resources and spin up new nodes only when existing nodes are fully utilized. The result: CPU and memory are autonomously and continuously optimized, without delay and without the need for recommendations to be applied, and the need for ongoing manual tuning is safely eliminated. Pepperdata pays for itself, immediately decreasing instance hours/waste, increasing Spark utilization, and freeing developers from manual tuning to focus on innovation.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Spark No 
Axonius Yes 
Azure Confidential Computing Yes 
Bobsled Yes 
EPIC Yes 
Embeddable Yes 
EquityZen Yes 
Horovod Yes 
Indent Yes 
LynxCare Yes 
Mage Sensitive Data Discovery Yes 
NLSQL Yes 
Nucleon Database Master Yes 
Nuvento Yes 
Protegrity Yes 
Quaeris Yes 
Syntho Yes 
just words Yes 

Integrations

Apache Spark Yes 
Axonius No 
Azure Confidential Computing No 
Bobsled No 
EPIC No 
Embeddable No 
EquityZen No 
Horovod No 
Indent No 
LynxCare No 
Mage Sensitive Data Discovery No 
NLSQL No 
Nucleon Database Master No 
Nuvento No 
Protegrity No 
Quaeris No 
Syntho No 
just words No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/databricks/

Vendor Details

Company Name

Pepperdata, Inc.

Founded

2012

Country

United States

Website

www.pepperdata.com

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Product Features

Application Performance Monitoring (APM)

Baseline Manager Yes 
Diagnostic Tools Yes 
Full Transaction Diagnostics Yes 
Performance Control Yes 
Resource Management Yes 
Root-Cause Diagnosis Yes 
Server Performance Yes 
Trace Individual Transactions Yes 

Cloud Cost Management

Cost Reduction Optimization Yes 
Dashboard Yes 
Data Import/Export No 
Data Storage No 
Data Visualization Yes 
Resource Usage Reporting Yes 
Roles / Permissions Yes 
Spend and Cost Reporting Yes 

Alternatives

Alternatives