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Average Ratings 0 Ratings
Description
Experience the freedom of storage that allows data to flow freely without restrictions. With a managed data lake, you can quickly set up your system and start utilizing data without needing to be an expert in the field. Cribl Lake ensures you won’t be overwhelmed by data, enabling effortless storage, management, policy enforcement, and accessibility whenever necessary. Embrace the future with open formats while benefiting from consistent retention, security, and access control policies. Let Cribl take care of the complex tasks, transforming data into a resource that delivers value to your teams and tools. With Cribl Lake, you can be operational in minutes instead of months, thanks to seamless automated provisioning and ready-to-use integrations. Enhance your workflows using Stream and Edge for robust data ingestion and routing capabilities. Cribl Search simplifies your querying process, providing a unified approach regardless of where your data resides, so you can extract insights without unnecessary delays. Follow a straightforward route to gather and maintain data for the long haul while easily meeting legal and business obligations for data retention by setting specific retention timelines. By prioritizing user-friendliness and efficiency, Cribl Lake equips you with the tools needed to maximize data utility and compliance.
Description
Delta Lake serves as an open-source storage layer that integrates ACID transactions into Apache Spark™ and big data operations. In typical data lakes, multiple pipelines operate simultaneously to read and write data, which often forces data engineers to engage in a complex and time-consuming effort to maintain data integrity because transactional capabilities are absent. By incorporating ACID transactions, Delta Lake enhances data lakes and ensures a high level of consistency with its serializability feature, the most robust isolation level available. For further insights, refer to Diving into Delta Lake: Unpacking the Transaction Log. In the realm of big data, even metadata can reach substantial sizes, and Delta Lake manages metadata with the same significance as the actual data, utilizing Spark's distributed processing strengths for efficient handling. Consequently, Delta Lake is capable of managing massive tables that can scale to petabytes, containing billions of partitions and files without difficulty. Additionally, Delta Lake offers data snapshots, which allow developers to retrieve and revert to previous data versions, facilitating audits, rollbacks, or the replication of experiments while ensuring data reliability and consistency across the board.
API Access
Has API
No
API Access
Has API
Yes
Integrations
AWS Security Hub
Yes
Amazon S3
Yes
Amundsen
No
Apache Spark
No
Azure Blob Storage
Yes
CelerData Cloud
No
Cribl Edge
Yes
Daft
No
Google Cloud Storage
Yes
IBM StreamSets
No
Integrations
AWS Security Hub
No
Amazon S3
No
Amundsen
Yes
Apache Spark
Yes
Azure Blob Storage
No
CelerData Cloud
Yes
Cribl Edge
No
Daft
Yes
Google Cloud Storage
No
IBM StreamSets
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cribl
Founded
2018
Country
United States
Website
cribl.io/lake/
Vendor Details
Company Name
Delta Lake
Founded
2019
Country
United States
Website
delta.io
Product Features
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