What is Eudora Converter?
Universal data replication and data ingestion
Qlik Replicate (formerly Attunity Replicate) enables organizations to accelerate replication, ingestion, and streaming data across a wide variety of heterogeneous databases, data warehouses, and big data platforms. Used by hundreds of companies around the world, Qlik Replicate moves your data easily, securely and efficiently with minimal operational impact.
Universal data availability
Replicate, synchronize, distribute, consolidate, and ingest data across all major databases, data warehouses, and Hadoop, on-premises, and in the cloud. Qlik Replicate activated:
- A global insurer to reduce your nightly batch loading time from 6 to 8 hours to less than 10 minutes.
- A large credit services organization to apply 14 million changes to the source to the destination in 30 seconds.
Accelerate data integration for analytics
Quickly and easily configure data replication with an intuitive GUI, eliminating the need for manual coding.
- Simplify massive intake on big data platforms from thousands of sources.
- Automatically generates target schemas based on source metadata.
- Efficiently handle big data loads with parallel segmentation.
- Use the changed data capture (CDC) process to maintain real-time analysis with less overhead.
Integrate data across all major platforms
Universal software supports one of the widest ranges of sources and destinations, allowing you to load, ingest, migrate, distribute, consolidate, and synchronize data on-premises and in hybrid or cloud environments. These include:
- RDBMS: Oracle, SQL, DB2, MySQL, Sybase, PostgreSQL
- Data warehouses: Exadata, Teradata, IBM Netezza, Vertica, Pivotal, MS SQL Data Warehouse
- Cloud: AWS, Azure, Google Cloud
- Hadoop: Apache, Cloudera, Hortonworks, MapR
- Plataformas de streaming: Apache Kafka, Confluent
- Enterprise applications: SAP
- Legado: IMS / DB, DB2 z / OS, RMS, VSAM
A versatile platform for capturing changed data
With low-impact, real-time CDC for many database systems, Qlik Replicate provides flexible options for processing captured data changes:
- Transactional: Apply transactions in the order in which they were committed to the source to ensure strict referential integrity and lower latency.
- Batch optimized: Group batch transactions to optimize ingestion and merging into data warehouses, Hadoop, or cloud.
- Optimized data warehouse: Load with native APIs with performance optimized for Teradata, Oracle Exadata, and other EDWs that use Massively Parallel Processing (MPP).
- Message-oriented data transmission: Capture and transmit data change records on message intermediary systems such as Apache Kafka.
Performance and scale
Universal software supports one of the widest ranges of sources and destinations, allowing you to load, ingest, migrate, distribute, consolidate, and synchronize data on-premises and in hybrid or cloud environments. These include:
- High throughput and low latency: Move data in enterprise or hybrid environments at high speed to meet real-time business requirements.
- Massive scale: Replicate your data to hundreds of sources and destinations.
- Low impact: Log-based and zero-space technology minimizes data source overhead and target performance.
- Centralized monitoring and control: Use a single interface to create data terminals, design, and perform replication tasks. Monitor thousands of tasks through a single console with user-defined alerts and KPIs.
Activating SAP Analytics
Qlik Replicate is optimized to provide real-time SAP application data for big data analysis. With Qlik Replicate for SAP, you get:
- Flexibility: Move the correct SAP application data to any primary database, data warehouse, or Hadoop, on-premises, or in the cloud.
- Easy data access: Capture and translate complex SAP formats and export data with an intuitive, automated interface built specifically for the SAP environment.
- Real-time integration: Leverage Qlik Replicate CDC to enter live SAP data for real-time analytics on data lakes or other destinations and create live Kafka messages for streaming analytics.
Optimize data movement for cloud environments
- Enable full hybrid mobility: Move data between, inside, and outside all major platforms in the cloud.
- Enable high performance: Efficiently compress and transfer data across the Wide Area Network (WAN).
- Secure data transfer: Use advanced NSA-approved encryption (AES-256).
System requirements:
CPU: 1.8 GHz dual core processor
RAM: 2 GB
HDD / SSD: 50 GB of free space on the main drive
Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit and Microsoft Windows Vista 32-bit
Resolution: 1024×768