Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Data stands as the most essential asset for any organization, but its true value emerges only when it is effectively utilized and optimized. As the volume of data continues to surge, and as enterprises grapple with disconnected application ecosystems and an increasing variety of data types, many find it challenging to maintain data quality. Through enterprise data management, organizations can extract valuable insights and discover new avenues for competitive advantage, which in turn aids in cost control, customer understanding, and enhancing profitability. OpenText's enterprise data management solutions cater to a wide array of needs, covering aspects such as data governance, quality, security, and beyond. By leveraging OpenText™ Alloy™, businesses can transcend mere data integration, transforming raw data into actionable insights. Alloy empowers organizations to harmonize, cleanse, enrich, and consolidate their data within a unified cloud platform, ultimately boosting automation and operational efficiency. This holistic approach not only streamlines data handling but also fosters informed decision-making, positioning organizations for long-term success.
Description
The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, Apache Druid, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.
API Access
Has API
API Access
Has API
Integrations
Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
CAPSYS Capture
Integrations
Apache Airflow
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache NiFi
Apache Spark
Apache ZooKeeper
CAPSYS Capture
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
OpenText
Founded
1991
Country
Canada
Website
businessnetwork.opentext.com/enterprise-data-management/
Vendor Details
Company Name
Stackable
Founded
2020
Country
Germany
Website
stackable.tech/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge