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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.
Description
Enhance your access to IBM Db2 data with our high-performance connectivity solutions designed for application interactions with IBM Db2 databases. Our versatile connectors, including ADO.NET, ODBC, ADO, and JDBC, facilitate seamless data sharing between applications and IBM Db2 databases, ensuring quick and dependable access to Db2 servers across various platforms such as IBM i/iSeries/AS400, zOS/OS390, VSE/VM, AIX, Solaris, HP/UX, Windows, and Linux. Additionally, bolster your application's security by implementing our encryption solutions to protect data during transmission. Optimized for native IBM operating systems, our offerings draw on over 20 years of experience with IBM Db2, guaranteeing a solution tailored to the specific demands of any environment, whether it be ODBC, .NET, JDBC, or OLE DB. With a straightforward setup and user-friendly toolbox, our performance-driven .NET data providers for IBM® Db2® ensure reliable access for both third-party commercial applications and bespoke solutions, thereby enhancing overall operational efficiency. The combination of these features allows organizations to maximize data integrity and speed in their operations.
API Access
Has API
API Access
Has API
Integrations
Amazon EMR
Amazon Web Services (AWS)
Apache Hive
Boomi
Cognizant
HCL Accelerate
Infor CRM
Melissa Clean Suite
Microsoft 365
Proceed
Integrations
Amazon EMR
Amazon Web Services (AWS)
Apache Hive
Boomi
Cognizant
HCL Accelerate
Infor CRM
Melissa Clean Suite
Microsoft 365
Proceed
Pricing Details
Free
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
Apache Software Foundation
Website
phoenix.apache.org
Vendor Details
Company Name
Syniti
Founded
1996
Country
United States
Website
www.syniti.com/solutions/syniti-data-connectivity/
Product Features
Relational Database
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
Product Features
Enterprise Service Bus (ESB)
Data Source Connectors
Electronic Data Interchange (EDI)
Enterprise Application Integration
Enterprise Integration Patterns (EIP)
Integrations Management
Messaging