Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Apache OFBiz is a versatile suite of business applications suitable for a variety of industries. Its uniform architecture empowers developers to effortlessly modify or expand it to incorporate tailored functionalities. The framework, built on Java, features an entity engine, a service engine, and a widget-based user interface, facilitating rapid prototyping and web application development. Having been an Apache top-level project for a decade, OFBiz has demonstrated its stability and maturity as a comprehensive ERP solution that can adapt to the evolving needs of businesses. The highly adaptable architecture of OFBiz allows developers to efficiently enhance and customize the framework with additional features. Furthermore, Apache OFBiz offers a selection of essential core modules right out of the box, including Accounting (GL, AR, AP, FA), CRM, Order Management & E-Commerce, warehousing and inventory, as well as manufacturing and MRP, making it a robust choice for enterprises. This extensive range of built-in modules ensures that organizations have the tools they need to streamline their operations effectively.
Description
Apache Spark™ serves as a comprehensive analytics platform designed for large-scale data processing. It delivers exceptional performance for both batch and streaming data by employing an advanced Directed Acyclic Graph (DAG) scheduler, a sophisticated query optimizer, and a robust execution engine. With over 80 high-level operators available, Spark simplifies the development of parallel applications. Additionally, it supports interactive use through various shells including Scala, Python, R, and SQL. Spark supports a rich ecosystem of libraries such as SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming, allowing for seamless integration within a single application. It is compatible with various environments, including Hadoop, Apache Mesos, Kubernetes, and standalone setups, as well as cloud deployments. Furthermore, Spark can connect to a multitude of data sources, enabling access to data stored in systems like HDFS, Alluxio, Apache Cassandra, Apache HBase, and Apache Hive, among many others. This versatility makes Spark an invaluable tool for organizations looking to harness the power of large-scale data analytics.
API Access
Has API
No
API Access
Has API
No
Integrations
Actian Data Platform
No
Apache Doris
No
Apache HBase
No
Deep.BI
No
Deequ
No
Flyte
No
Gemini Enterprise Agent Platform
No
Google Cloud Managed Service for Apache Spark
No
Mage Platform
No
Mage Static Data Masking
No
Integrations
Actian Data Platform
Yes
Apache Doris
Yes
Apache HBase
Yes
Deep.BI
Yes
Deequ
Yes
Flyte
Yes
Gemini Enterprise Agent Platform
Yes
Google Cloud Managed Service for Apache Spark
Yes
Mage Platform
Yes
Mage Static Data Masking
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
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
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
ofbiz.apache.org
Vendor Details
Company Name
Apache Software Foundation
Founded
1999
Country
United States
Website
spark.apache.org
Product Features
Business Management
Billing & Invoicing
No
CRM
No
Employee Management
No
Financial Management
No
Inventory Management
No
Marketing Management
No
Order Management
No
Point of Sale (POS)
No
Project Management
No
Purchasing
No
Scheduling
No
Time & Expense Tracking
No
Training Management
No
Vendor Management
No
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 Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Streaming Analytics
Data Enrichment
Yes
Data Wrangling / Data Prep
Yes
Multiple Data Source Support
Yes
Process Automation
Yes
Real-time Analysis / Reporting
No
Visualization Dashboards
No