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What is Tarsal?

Tarsal offers boundless scalability, ensuring that as your business grows, it can effortlessly accommodate your evolving requirements. With just a single click, Tarsal allows you to change where your data is directed; for instance, data that functions as SIEM information today can be repurposed as data lake content tomorrow. This means you can sustain your SIEM while progressively transitioning your analytics to a data lake without the hassle of a complete system revamp. Although some analytics might not integrate smoothly with your existing SIEM, Tarsal equips you to have data prepared for queries in a data lake setting. Recognizing that your SIEM incurs considerable costs, leveraging Tarsal to shift some of that data to your data lake can serve as a financially wise decision. Tarsal distinguishes itself as the pioneering highly scalable ETL data pipeline tailored specifically for security teams, enabling swift exfiltration of extensive data volumes with minimal effort. Thanks to its immediate normalization capabilities, Tarsal facilitates the efficient routing of data to any chosen destination, revolutionizing data management to be more straightforward and effective. This adaptability not only allows organizations to optimize their resources but also significantly enhances their data handling efficiency, ultimately leading to improved operational performance.

What is Delta Lake?

Delta Lake acts as an open-source storage solution that integrates ACID transactions within Apache Sparkâ„¢ and enhances operations in big data environments. In conventional data lakes, various pipelines function concurrently to read and write data, often requiring data engineers to invest considerable time and effort into preserving data integrity due to the lack of transactional support. With the implementation of ACID transactions, Delta Lake significantly improves data lakes, providing a high level of consistency thanks to its serializability feature, which represents the highest standard of isolation. For more detailed exploration, you can refer to Diving into Delta Lake: Unpacking the Transaction Log. In the big data landscape, even metadata can become quite large, and Delta Lake treats metadata with the same importance as the data itself, leveraging Spark's distributed processing capabilities for effective management. As a result, Delta Lake can handle enormous tables that scale to petabytes, containing billions of partitions and files with ease. Moreover, Delta Lake's provision for data snapshots empowers developers to access and restore previous versions of data, making audits, rollbacks, or experimental replication straightforward, while simultaneously ensuring data reliability and consistency throughout the system. This comprehensive approach not only streamlines data management but also enhances operational efficiency in data-intensive applications.

Media

Media

Integrations Supported

Databricks
AWS CloudTrail
Box
Cato SASE
Elastic Cloud
GitHub
Google Workspace
Microsoft 365
Slack

Integrations Supported

Databricks
Amundsen
Booz Allen MDR
Hackolade
IBM StreamSets
IBM watsonx.data integration
Onehouse
Talend Data Fabric
TencentDB
Upwork
eBay

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Tarsal

Company Location

United States

Company Website

tarsal.co

Company Facts

Organization Name

Delta Lake

Date Founded

2019

Company Location

United States

Company Website

delta.io

Categories and Features

Data Pipeline

Not specified

Data Security

Not specified

Categories and Features

Big Data

Not specified

Data Engineering

Not specified

Data Lake

Not specified

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