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Description
Apache DevLake (currently in incubation) consolidates, evaluates, and visualizes disparate data from various DevOps tools to extract valuable insights that promote engineering excellence. In the realm of software development, your data is often scattered across multiple silos and platforms. DevLake bridges these gaps, offering a holistic perspective on your Software Development Life Cycle (SDLC). The platform seamlessly implements metrics, from DORA to scrum retrospectives, with its preconfigured dashboards that align with widely-used frameworks and objectives. It is designed to accommodate teams of diverse sizes and structures, while also providing the flexibility to incorporate additional data sources, metrics, and dashboards through its adaptable data collection and transformation framework. You can easily select, modify, and schedule data synchronization from your preferred sources using the configuration interface. Gain insights by exploring pre-built dashboards tailored for various use cases and leverage the metrics to enhance your engineering processes. Additionally, you have the freedom to customize your own metrics and dashboards using SQL, thereby expanding the potential applications of DevLake. This versatility ensures that DevLake can evolve alongside your team's needs and the ever-changing demands of software development.
Description
BigLake serves as a storage engine that merges the functionalities of data warehouses and lakes, allowing BigQuery and open-source frameworks like Spark to efficiently access data while enforcing detailed access controls. It enhances query performance across various multi-cloud storage systems and supports open formats, including Apache Iceberg. Users can maintain a single version of data, ensuring consistent features across both data warehouses and lakes. With its capacity for fine-grained access management and comprehensive governance over distributed data, BigLake seamlessly integrates with open-source analytics tools and embraces open data formats. This solution empowers users to conduct analytics on distributed data, regardless of its storage location or method, while selecting the most suitable analytics tools, whether they be open-source or cloud-native, all based on a singular data copy. Additionally, it offers fine-grained access control for open-source engines such as Apache Spark, Presto, and Trino, along with formats like Parquet. As a result, users can execute high-performing queries on data lakes driven by BigQuery. Furthermore, BigLake collaborates with Dataplex, facilitating scalable management and logical organization of data assets. This integration not only enhances operational efficiency but also simplifies the complexities of data governance in large-scale environments.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Apache Spark
Azure Data Lake
Bitbucket
Docker
Elestio
Feishu
GitHub
GitLab
Gitee
Integrations
Amazon S3
Apache Spark
Azure Data Lake
Bitbucket
Docker
Elestio
Feishu
GitHub
GitLab
Gitee
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$5 per TB
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
Apache Software Foundation
Founded
1999
Country
United States
Website
devlake.apache.org
Vendor Details
Company Name
Country
United States
Website
cloud.google.com/biglake
Product Features
Product Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge