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Average Ratings 0 Ratings

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features
design
support

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Write a Review

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

Etleap was created on AWS to support Redshift, snowflake and S3/Glue data warehouses and data lakes. Their solution simplifies and automates ETL through fully-managed ETL as-a-service. Etleap's data wrangler allows users to control how data is transformed for analysis without having to write any code. Etleap monitors and maintains data pipes for availability and completeness. This eliminates the need for constant maintenance and centralizes data sourced from 50+ sources and silos into your database warehouse or data lake.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Jira Yes 
AWS IoT SiteWise No 
Adobe Marketo Engage No 
Facebook No 
Feishu Yes 
GitHub Yes 
GitLab Yes 
Jenkins Yes 
Jira Work Management No 
Kubernetes Yes 
Localytics No 
NetSuite No 
Orchestra No 
SQL Yes 
Salesforce No 
Segment No 
SonarQube Server Yes 
Temporal Yes 
Zendesk No 
intermix.io No 

Integrations

Jira Yes 
AWS IoT SiteWise Yes 
Adobe Marketo Engage Yes 
Facebook Yes 
Feishu No 
GitHub No 
GitLab No 
Jenkins No 
Jira Work Management Yes 
Kubernetes No 
Localytics Yes 
NetSuite Yes 
Orchestra Yes 
SQL No 
Salesforce Yes 
Segment Yes 
SonarQube Server No 
Temporal No 
Zendesk Yes 
intermix.io Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Because each company's ETL needs are different, Etleap's pricing is based on the number of sources types you want to integrate with, rather than data usage. We're committed to providing sophisticated, user-friendly ETL-as-a-service regardless of the size of your business.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

devlake.apache.org

Vendor Details

Company Name

Etleap

Country

United States

Website

etleap.com

Product Features

Product Features

Big Data

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

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

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