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About

Unlock insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, autoscale, and collaborate on shared projects in an interactive workspace. Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries including TensorFlow, PyTorch, and scikit-learn. Azure Databricks provides the latest versions of Apache Spark and allows you to seamlessly integrate with open source libraries. Spin up clusters and build quickly in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. Take advantage of autoscaling and auto-termination to improve total cost of ownership (TCO).

About

Zipher is an autonomous optimization platform specifically designed to improve the performance and cost efficiency of Databricks workloads by eliminating manual tuning and resource management and continuously adjusting clusters in real time. It uses proprietary machine learning models and the only Spark-aware scaler that actively learns and profiles workloads to adjust cluster resources, select optimal configurations for every job run, and dynamically tune settings like hardware, Spark configs, and availability zones to maximize efficiency and cut waste. Zipher continuously monitors evolving workloads to adapt configurations, optimize scheduling, and allocate shared compute resources to meet SLAs, while providing detailed cost visibility that breaks down Databricks and cloud provider costs so teams can identify key cost drivers. It integrates seamlessly with major cloud service providers including AWS, Azure, and Google Cloud and works with common orchestration and IaC tools.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Companies in need of a big data solution

Audience

Data engineering and cloud infrastructure teams who run Databricks workloads and want to automate performance tuning and cost optimization with minimal manual effort

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Microsoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/databricks/

Company Information

Zipher
Founded: 2023
United States
zipher.cloud/

Alternatives

Alternatives

Pepperdata

Pepperdata

Pepperdata, Inc.
Amazon EMR

Amazon EMR

Amazon

Categories

Big Data Supported

Categories

Integrations

Databricks Supported
Microsoft Azure Supported
Amazon Web Services (AWS) Not Supported
Artie Supported
Axonius Supported
Azure Data Lake Supported
Datafold Supported
Datagaps ETL Validator Supported
EquityZen Supported
Kyvos Semantic Layer Supported
NLSQL Supported
Protegrity Supported
Qlik Staige Supported
Quaeris Supported
QueryPie Supported
QuerySurge Supported
Signara Supported
Terraform Not Supported
The Asset Guardian EAM (TAG) Supported
Tonic Ephemeral Supported

Integrations

Databricks Supported
Microsoft Azure Supported
Amazon Web Services (AWS) Supported
Artie Not Supported
Axonius Not Supported
Azure Data Lake Not Supported
Datafold Not Supported
Datagaps ETL Validator Not Supported
EquityZen Not Supported
Kyvos Semantic Layer Not Supported
NLSQL Not Supported
Protegrity Not Supported
Qlik Staige Not Supported
Quaeris Not Supported
QueryPie Not Supported
QuerySurge Not Supported
Signara Not Supported
Terraform Supported
The Asset Guardian EAM (TAG) Not Supported
Tonic Ephemeral Not Supported
Claim Azure Databricks and update features and information
Claim Azure Databricks and update features and information
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