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What is Materialize?

Materialize is a cutting-edge reactive database that facilitates the incremental updating of views, making it easier for developers to engage with streaming data using familiar SQL syntax. This platform stands out due to its capability to directly interface with various external data sources without necessitating extensive pre-processing steps. Users can connect to live streaming sources like Kafka and Postgres databases, as well as utilize change data capture (CDC) mechanisms, while also having the option to access historical data from files or S3 storage. Materialize allows for the execution of queries, the performance of joins, and the transformation of diverse data sources through standard SQL, resulting in dynamically updated Materialized views. As new data flows in, queries remain active and are consistently refreshed, empowering developers to easily create real-time applications or data visualizations. Additionally, the process of building applications that leverage streaming data is simplified, often requiring minimal SQL code, which greatly boosts development efficiency. Ultimately, with Materialize, developers can dedicate their efforts to crafting innovative solutions instead of getting overwhelmed by intricate data management challenges, thus unlocking new possibilities in data-driven projects.

What is Apache DataFusion?

Apache DataFusion is a highly adaptable and capable query engine developed in Rust, which utilizes Apache Arrow for efficient in-memory data handling. It is intended for developers who are working on data-centric systems, including databases, data frames, machine learning applications, and real-time data streaming solutions. Featuring both SQL and DataFrame APIs, DataFusion offers a vectorized, multi-threaded execution engine that efficiently manages data streams while accommodating a variety of partitioned data sources. It supports numerous native file formats, including CSV, Parquet, JSON, and Avro, and integrates seamlessly with popular object storage services such as AWS S3, Azure Blob Storage, and Google Cloud Storage. The architecture is equipped with a sophisticated query planner and an advanced optimizer, which includes features like expression coercion, simplification, and distribution-aware optimizations, as well as automatic join reordering for enhanced performance. Additionally, DataFusion provides significant customization options, allowing developers to implement user-defined scalar, aggregate, and window functions, as well as integrate custom data sources and query languages, thereby enhancing its utility for a wide range of data processing scenarios. This flexibility ensures that developers can effectively adjust the engine to meet their specific requirements and optimize their data workflows.

Media

Media

Integrations Supported

Amazon S3
Amazon Kinesis
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
DataClarity Unlimited Analytics
Debezium
Google Cloud Storage
Google Sheets
Gravity Data
Hue
JSON
Microsoft Excel
PostgreSQL
PubNub
Python
Rust
SDF
SQL

Integrations Supported

Amazon S3
Amazon Kinesis
Apache Arrow
Apache Avro
Apache Parquet
Azure Blob Storage
DataClarity Unlimited Analytics
Debezium
Google Cloud Storage
Google Sheets
Gravity Data
Hue
JSON
Microsoft Excel
PostgreSQL
PubNub
Python
Rust
SDF
SQL

API Availability

Has API

API Availability

Has API

Pricing Information

$0.98 per hour
Free Trial Offered?
Free Version

Pricing Information

Free
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Materialize

Company Location

United States

Company Website

materialize.com

Company Facts

Organization Name

Apache Software Foundation

Date Founded

2019

Company Location

United States

Company Website

datafusion.apache.org

Categories and Features

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Categories and Features

Database

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

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