Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Ensure that crashes from apps, devices, or games do not hinder your exceptional user experience. Backtrace simplifies cross-platform crash and exception management, allowing you to concentrate on product delivery. It offers seamless aggregation and monitoring of callstacks and events across various platforms. You can manage errors arising from panics, core dumps, minidumps, and runtime issues within a unified system. With Backtrace, structured and searchable error reports are generated from your data effortlessly. The automated analysis feature significantly reduces resolution time by highlighting crucial signals that guide engineers toward identifying the root causes of crashes. You can rely on rich integrations with dashboards, notifications, and workflow systems to ensure no detail is overlooked. Utilize Backtrace’s advanced query engine to address the inquiries that matter most to your team. Gain insights through a comprehensive overview of error frequency, prioritization, and trends across all your projects while also being able to sift through key data points and your custom information associated with each error. This streamlined approach enhances your efficiency in managing and resolving issues promptly.
Description
Dremio provides lightning-fast queries as well as a self-service semantic layer directly to your data lake storage. No data moving to proprietary data warehouses, and no cubes, aggregation tables, or extracts. Data architects have flexibility and control, while data consumers have self-service. Apache Arrow and Dremio technologies such as Data Reflections, Columnar Cloud Cache(C3), and Predictive Pipelining combine to make it easy to query your data lake storage. An abstraction layer allows IT to apply security and business meaning while allowing analysts and data scientists access data to explore it and create new virtual datasets. Dremio's semantic layers is an integrated searchable catalog that indexes all your metadata so business users can make sense of your data. The semantic layer is made up of virtual datasets and spaces, which are all searchable and indexed.
API Access
Has API
No
API Access
Has API
No
Integrations
SQL
Yes
AccessOwl
No
Apache Iceberg
No
Apache Superset
No
Asana
Yes
Azure Marketplace
No
DashboardFox
No
Emgage
No
GitHub
Yes
HostAccess
Yes
Integrations
SQL
Yes
AccessOwl
Yes
Apache Iceberg
Yes
Apache Superset
Yes
Asana
No
Azure Marketplace
Yes
DashboardFox
Yes
Emgage
Yes
GitHub
No
HostAccess
No
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
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
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)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Backtrace
Country
United States
Website
backtrace.io
Vendor Details
Company Name
Dremio
Founded
2015
Country
United States
Website
www.dremio.com
Product Features
Application Development
Access Controls/Permissions
No
Code Assistance
No
Code Refactoring
No
Collaboration Tools
No
Compatibility Testing
No
Data Modeling
No
Debugging
Yes
Deployment Management
No
Graphical User Interface
No
Mobile Development
Yes
No-Code
No
Reporting/Analytics
Yes
Software Development
Yes
Source Control
No
Testing Management
Yes
Version Control
No
Web App Development
Yes
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
Data Lineage
Database Change Impact Analysis
No
Filter Lineage Links
No
Implicit Connection Discovery
No
Lineage Object Filtering
No
Object Lineage Tracing
No
Point-in-Time Visibility
No
User/Client/Target Connection Visibility
No
Visual & Text Lineage View
No
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No