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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

For those in search of a lightning-fast mathematical expression parser suitable for their .Net projects, look no further. The Acid Library serves as a high-performance math expression parser specifically designed for the .Net Framework. Whether you are developing a mathematical feature for your website or a robust scientific application, the Acid Library is an excellent choice for processing numerical data. This software component is provided in a ready-to-use format compatible with Microsoft .Net Framework, ensuring seamless operation. It operates natively across various .Net languages, including C#, VB.Net, Delphi.Net, Boo.Net, and ASP.Net, without compromising on performance. Packaged as a .dll file, integration into Visual Studio 2005 or any other .Net integrated development environment is achieved with just a few simple steps. Once incorporated, you’ll find that resolving equations and evaluating mathematical expressions is both quick and efficient, enhancing your development experience considerably. Additionally, the library's straightforward functionality allows developers to focus more on innovation rather than troubleshooting.

Description

Apache Phoenix provides low-latency OLTP and operational analytics on Hadoop by merging the advantages of traditional SQL with the flexibility of NoSQL. It utilizes HBase as its underlying storage, offering full ACID transaction support alongside late-bound, schema-on-read capabilities. Fully compatible with other Hadoop ecosystem tools such as Spark, Hive, Pig, Flume, and MapReduce, it establishes itself as a reliable data platform for OLTP and operational analytics through well-defined, industry-standard APIs. When a SQL query is executed, Apache Phoenix converts it into a series of HBase scans, managing these scans to deliver standard JDBC result sets seamlessly. The framework's direct interaction with the HBase API, along with the implementation of coprocessors and custom filters, enables performance metrics that can reach milliseconds for simple queries and seconds for larger datasets containing tens of millions of rows. This efficiency positions Apache Phoenix as a formidable choice for businesses looking to enhance their data processing capabilities in a Big Data environment.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Data Sentinel
Hadoop
NoSQL
Python
SQL
Salesforce Data 360
Trino

Integrations

Amazon EMR
Apache Flume
Apache HBase
Apache Hive
Apache Spark
Data Sentinel
Hadoop
NoSQL
Python
SQL
Salesforce Data 360
Trino

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
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

Blue Analysis

Country

Denmark

Website

www.blueanalysis.com/acidlibrary.php

Vendor Details

Company Name

Apache Software Foundation

Website

phoenix.apache.org

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

Product Features

Relational Database

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Alternatives

ACID Pro Reviews

ACID Pro

MAGIX

Alternatives

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