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What is DBIntegrate?
The latest version of DBIntegrate, 3.0.3.7, is now available for download. This update brings enhancements to Change Data Capture (CDC) and introduces innovative features for data de-duplication, making it easier for users to detect duplicate entries. One notable improvement is that CDC can now generate a flat-text file when the connection to the message queue is lost, which can later be reintegrated into the message queue once the connection is restored, ensuring that data is sent to the target source in the right sequence. Furthermore, this flat-text file option can be set as the default for CDC, which simplifies the process of performing overnight batch imports into other systems. Accompanying this release is a log loader mechanism that allows users to load files via a command line interface. Additionally, the new version of DBIntegrate allows for the documentation of de-duplication merge scores within the DBI_WORK temporary tables, and users can now view the master record in a newly added column titled DBI_RecordMerged. Overall, this update represents a major leap forward in the software's functionality, greatly enhancing the data integration experience for users and underscoring the commitment to continuous improvement.
What is Apache Hudi?
Hudi is a versatile framework designed for the development of streaming data lakes, which seamlessly integrates incremental data pipelines within a self-managing database context, while also catering to lake engines and traditional batch processing methods. This platform maintains a detailed historical timeline that captures all operations performed on the table, allowing for real-time data views and efficient retrieval based on the sequence of arrival. Each Hudi instant is comprised of several critical components that bolster its capabilities. Hudi stands out in executing effective upserts by maintaining a direct link between a specific hoodie key and a file ID through a sophisticated indexing framework. This connection between the record key and the file group or file ID remains intact after the original version of a record is written, ensuring a stable reference point. Essentially, the associated file group contains all iterations of a set of records, enabling effortless management and access to data over its lifespan. This consistent mapping not only boosts performance but also streamlines the overall data management process, making it considerably more efficient. Consequently, Hudi's design provides users with the tools necessary for both immediate data access and long-term data integrity.
Integrations Supported
AWS Marketplace
Alluxio
Amazon Athena
Amazon Redshift
Apache Cassandra
Apache Doris
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
Integrations Supported
AWS Marketplace
Alluxio
Amazon Athena
Amazon Redshift
Apache Cassandra
Apache Doris
Apache Flink
Apache Hive
Apache Kafka
Apache Spark
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Transoft
Date Founded
1983
Company Location
United Kingdom
Company Website
transoftdev.wordpress.com/2012/07/19/transoft-dbintegrate-v-3-0-3-7-release/
Company Facts
Organization Name
Apache Corporation
Date Founded
1954
Company Location
United States
Company Website
hudi.apache.org
Categories and Features
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Categories and Features
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge