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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

SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Data Sentinel Yes 
Salesforce Data 360 Yes 
Analytify AI No 
Aphix No 
Centreon No 
Cognee No 
Dell EMC XC Family No 
Digna No 
HPE Serviceguard No 
IBM Cloud SAP No 
Immuta No 
Ontoris No 
Planisware No 
Starburst Enterprise No 
Suplari No 
Visplore No 
huminos No 
tradeit No 

Integrations

Data Sentinel Yes 
Salesforce Data 360 Yes 
Analytify AI Yes 
Aphix Yes 
Centreon Yes 
Cognee Yes 
Dell EMC XC Family Yes 
Digna Yes 
HPE Serviceguard Yes 
IBM Cloud SAP Yes 
Immuta Yes 
Ontoris Yes 
Planisware Yes 
Starburst Enterprise Yes 
Suplari Yes 
Visplore Yes 
huminos Yes 
tradeit Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Apache Software Foundation

Website

phoenix.apache.org

Vendor Details

Company Name

SAP

Founded

1972

Country

Germany

Website

www.sap.com/products/hana.html

Product Features

Relational Database

ACID Compliance No 
Data Failure Recovery No 
Multi-Platform No 
Referential Integrity No 
SQL DDL Support No 
SQL DML Support No 
System Catalog No 
Unicode Support No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining Yes 
Data Visualization No 
Data Warehousing Yes 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics Yes 
Templates No 

Database

Backup and Recovery Yes 
Creation / Development No 
Data Migration No 
Data Replication Yes 
Data Search Yes 
Data Security Yes 
Database Conversion No 
Mobile Access Yes 
Monitoring Yes 
NOSQL Yes 
Performance Analysis Yes 
Queries Yes 
Relational Interface Yes 
Virtualization Yes 

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication Yes 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model Yes 
Performance Management Yes 
Security Management Yes 

Relational Database

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

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