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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Utilize Apache HBase™ when you require immediate and random read/write capabilities for your extensive data sets. This initiative aims to manage exceptionally large tables that can contain billions of rows across millions of columns on clusters built from standard hardware. It features automatic failover capabilities between RegionServers to ensure reliability. Additionally, it provides an intuitive Java API for client interaction, along with a Thrift gateway and a RESTful Web service that accommodates various data encoding formats, including XML, Protobuf, and binary. Furthermore, it supports the export of metrics through the Hadoop metrics system, enabling data to be sent to files or Ganglia, as well as via JMX for enhanced monitoring and management. With these features, HBase stands out as a robust solution for handling big data challenges effectively.

Description

IBM Analytics Engine offers a unique architecture for Hadoop clusters by separating the compute and storage components. Rather than relying on a fixed cluster with nodes that serve both purposes, this engine enables users to utilize an object storage layer, such as IBM Cloud Object Storage, and to dynamically create computing clusters as needed. This decoupling enhances the flexibility, scalability, and ease of maintenance of big data analytics platforms. Built on a stack that complies with ODPi and equipped with cutting-edge data science tools, it integrates seamlessly with the larger Apache Hadoop and Apache Spark ecosystems. Users can define clusters tailored to their specific application needs, selecting the suitable software package, version, and cluster size. They have the option to utilize the clusters for as long as necessary and terminate them immediately after job completion. Additionally, users can configure these clusters with third-party analytics libraries and packages, and leverage IBM Cloud services, including machine learning, to deploy their workloads effectively. This approach allows for a more responsive and efficient handling of data processing tasks.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Spark Yes 
Apache Knox Yes 
Azure HDInsight Yes 
CodeKeep Yes 
Data Sentinel Yes 
Galileo No 
Hackolade Yes 
Hadoop No 
Hue Yes 
JanusGraph Yes 
Lyftrondata Yes 
MLlib Yes 
Mage Sensitive Data Discovery Yes 
Minitab Statistical Software Yes 
RadiantOne No 
Sematext Cloud Yes 
Stackable Yes 
Switch Automation No 
WINDEV Yes 

Integrations

Apache Spark Yes 
Apache Knox No 
Azure HDInsight No 
CodeKeep No 
Data Sentinel No 
Galileo Yes 
Hackolade No 
Hadoop Yes 
Hue No 
JanusGraph No 
Lyftrondata No 
MLlib No 
Mage Sensitive Data Discovery No 
Minitab Statistical Software No 
RadiantOne Yes 
Sematext Cloud No 
Stackable No 
Switch Automation Yes 
WINDEV No 

Pricing Details

Free, Open Source Software
Free Trial No 
Free Version No 

Pricing Details

$0.014 per hour
Free Trial No 
Free Version Yes 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

Business Hours No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

hbase.apache.org

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/analytics-engine

Product Features

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication No 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model No 
Performance Management No 
Security Management No 

Product Features

Data Discovery

Contextual Search No 
Data Classification No 
Data Matching No 
False Positives Reduction No 
Self Service Data Preparation No 
Sensitive Data Identification No 
Visual Analytics No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

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