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Description
Apache DataFusion is a versatile and efficient query engine crafted in Rust, leveraging Apache Arrow for its in-memory data representation. It caters to developers engaged in creating data-focused systems, including databases, data frames, machine learning models, and real-time streaming applications. With its SQL and DataFrame APIs, DataFusion features a vectorized, multi-threaded execution engine that processes data streams efficiently and supports various partitioned data sources. It is compatible with several native formats such as CSV, Parquet, JSON, and Avro, and facilitates smooth integration with popular object storage solutions like AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture includes a robust query planner and an advanced optimizer that boasts capabilities such as expression coercion, simplification, and optimizations that consider distribution and sorting, along with automatic reordering of joins. Furthermore, DataFusion allows for extensive customization, enabling developers to incorporate user-defined scalar, aggregate, and window functions along with custom data sources and query languages, making it a powerful tool for diverse data processing needs. This adaptability ensures that developers can tailor the engine to fit their unique use cases effectively.
Description
Fusion transforms siloed data into unique insights for each user. Lucidworks Fusion allows customers to easily deploy AI-powered search and data discovery applications in a modern, containerized cloud-native architecture. Data scientists can interact with these applications by using existing machine learning models. They can also quickly create and deploy new models with popular tools such as Python ML and TensorFlow. It is easier and less risk to manage Fusion cloud deployments. Lucidworks has modernized Fusion using a cloud-native microservices architecture orchestrated and managed by Kubernetes. Fusion allows customers to dynamically manage their application resources according to usage ebbs, flows, and reduce the effort of deploying Fusion and upgrading it. Fusion also helps avoid unscheduled downtime or performance degradation. Fusion supports Python machine learning models natively. Fusion can integrate your custom ML models.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Amazon S3
Yes
Apache Arrow
Yes
Apache Avro
Yes
Apache Parquet
Yes
Azure Blob Storage
Yes
C
Yes
Canopy
No
FindTuner
No
Google Cloud Discovery AI
No
Google Cloud Storage
Yes
Integrations
Amazon S3
No
Apache Arrow
No
Apache Avro
No
Apache Parquet
No
Azure Blob Storage
No
C
No
Canopy
Yes
FindTuner
Yes
Google Cloud Discovery AI
Yes
Google Cloud Storage
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Apache Software Foundation
Founded
2019
Country
United States
Website
datafusion.apache.org
Vendor Details
Company Name
Lucidworks
Founded
2007
Country
United States
Website
lucidworks.com
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Product Features
eCommerce Personalization
A/B Testing
No
Abandoned Cart Email
No
Dynamic Pricing
No
Offers & Discounts Notifications
No
Personalized Site Navigation
No
Product Recommendations
No
Reporting / Analytics
No
Social Insights
No
Enterprise Search
AI / Machine Learning
Yes
Faceted Search / Filtering
No
Full Text Search
Yes
Fuzzy Search
No
Indexing
Yes
Text Analytics
No
eDiscovery
No
Insight Engines
AI / Machine Learning
No
Augmented Analytics
No
Data Aggregation
No
Data Classification
No
Data Extraction
No
Data Source Connectors
No
Full Text Search
No
Intent Recognition
No
Multiple Data Sources
No
Search / Filter
No
Sentiment Analysis
No
