Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Apache Arrow establishes a columnar memory format that is independent of any programming language, designed to handle both flat and hierarchical data, which allows for optimized analytical processes on contemporary hardware such as CPUs and GPUs. This memory format enables zero-copy reads, facilitating rapid data access without incurring serialization delays. Libraries associated with Arrow not only adhere to this format but also serve as foundational tools for diverse applications, particularly in high-performance analytics. Numerous well-known projects leverage Arrow to efficiently manage columnar data or utilize it as a foundation for analytic frameworks. Developed by the community for the community, Apache Arrow emphasizes open communication and collaborative decision-making. With contributors from various organizations and backgrounds, we encourage inclusive participation in our ongoing efforts and developments. Through collective contributions, we aim to enhance the functionality and accessibility of data analytics tools.
Description
In-Memory Computing Platform. Digital world is different. Microseconds are important. The world's most important organizations rely on us for powering their most sensitive applications at scale. If they meet the current requirement for immediate access, new data-enabled apps can transform your business. Hazelcast solutions can be used to complement any database and deliver results that are much faster than traditional systems of record. Hazelcast's distributed architecture ensures redundancy and continuous cluster up-time, as well as always available data to support the most demanding applications. The capacity grows with demand without compromising performance and availability. The cloud delivers the fastest in-memory data grid and third-generation high speed event processing.
API Access
Has API
API Access
Has API
Integrations
3LC
APERIO DataWise
Apache DataFusion
Chalk
Daft
DataClarity Unlimited Analytics
Diamanti
FF4J
Gentics
Heimdall Data
Integrations
3LC
APERIO DataWise
Apache DataFusion
Chalk
Daft
DataClarity Unlimited Analytics
Diamanti
FF4J
Gentics
Heimdall Data
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
arrow.apache.org
Vendor Details
Company Name
Hazelcast
Country
United States
Website
hazelcast.com
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Application Performance Monitoring (APM)
Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
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