Equalum Launches Continuous Data Integration Platform 3.0

Equalum | February 23, 2022

Data Integration
Equalum, a leading provider of data integration and ingestion solutions, has unveiled its most powerful data integration platform since its inception. Equalum's Continuous Data Integration Platform Version 3.0 is the first to natively handle all data integration use cases, including all needed Azure, AWS, and Google Cloud Targets, under a single, unified platform with minimal coding. Equalum can be used for real-time streaming, batch ETL, replication, and Tier One Change Data Capture.

Equalum CDIP provides next-generation capabilities and simplicity with a drag-and-drop interface for real-time and batches data pipeline development. In multi-use case settings, the solution provides equivalent or higher performance than single-use case solutions, like CDC or Streaming ETL tools without CDC. Equalum allows data teams to move from having no knowledge of the platform to having a basic understanding in only a few days of onboarding and then go live with their first use case completed in under an hour.

Kevin Petrie, VP of Research, Eckerson Group, stated that "Equalum helps enterprises address the compelling growth opportunity that is created by digital transformation and hyper-cloud adoption. To survive and compete, enterprises need to synchronize operations and analyze opportunities on a real-time basis. This requires automatically integrating live data across hybrid, cloud, and multi-cloud environments."

Equalum has added hundreds of new features to Version 3.0. And other new offers and refinements, to make complicated transformations and data manipulations easier.

Support for All Required Cloud Targets
Equalum has added support for a variety of Azure, Google Cloud targets, and AWS, involving Amazon RDS, Microsoft Azure for Oracle, Postgres, MySQL, and other databases, as well as Google Cloud Platform (GCP), Google DataProc, Google Cloud Storage (GCS), Google BigQuery, and Google Cloud Database. Oracle Databases on SQL Server, Google, and Azure are also supported.

Equalum's Oracle Binary Log Parser (OBLP)
OBLP has been enhanced to provide an even better performance, making it a perfect replacement for Oracle's deprecated Logminer. Equalum provides 10x throughput increases, an optimized CDC strategy, and current pricing based on flows and endpoints.

SQL Replication Binary Parser (SRBP)
This CDC duplication is based on its SQL Server transactional comparative and requires no installation on the database server. When comComparedSQL Server CDC Solution, Equalum minimizes the effect on SQL Server by 90%, providing improved performance, throughput, and less pressure on production databases.

Cloud Target Expansion
3.0 adds support for Google, Amazon Web Services, and Microsoft Azure Cloud Targets. If you decide to switch to one of these main cloud targets in the future, Equalum completely supports and future-proofs data integration.

Replication Group Enhancements
Enhancements to Replication Groups – Replication groups, built right into the overall Continuous Data Integration Platform, make extensive data migrations and cross-platform data warehousing (replicating to a data lake or data warehouse) and maintaining tens of thousands of items a breeze (UI). Equalum synchronizes Initial Acquisition and Change Data Capture (CDC) to assure "once-and-for-all" data capture.

Automatic Schema Evolution (enhanced)
When column changes or the schema is changed in other integration solutions, data pipelines frequently fail. All changes are caught and suitably propagated in real-time using Equalum's schema evolution, which is automated and straightforward.

Industry-First Native Support for all Data Integration Utilizes Cases with no-code
This is the industry's first native support for all data integration use cases. Equalum is the first in the industry to offer Streaming ETL and ELT and Batch ETL and contemporary, multi-modal Change Data Capture, all on a single, unified platform with a no-code user interface.

From simple pipeline building to huge operationalization, Equalum enables the complete data intake development cycle. For all data pipelines in the system, the platform provides full moncompleteing and execution metrics. Equalum's architecture also offers high availability and failover protection, ensuring data is protected as volume and velocity increase.

Equalum is enhanced for real-time streaming data, IoT streaming, improved batch data intake, data file transformation for real-time analytics, real-time ERP/CRM data access, MemSQL data replication, and enterprise-wide data consolidation to data lakes. Real-time streaming (ETL/ELT), real-time Change Data Capture (CDC), and data warehouse ETL performance enhancements are among the enterprise efforts supported.


Hear why SQL on Hadoop is the future of analytics. Mike Xu, Looker Data Architect and Evangelist will share how recent updates to SQL query engines like Spark and Presto are finally allowing companies to harness Hadoop’s processing power for analytics. Looker Data Analyst Eric Feinstein shares how a top 10 health insurance company built an in-cluster data platform using Looker to make all their data in Hadoop accessible to thousands of analysts and business users across the company every day.


Hear why SQL on Hadoop is the future of analytics. Mike Xu, Looker Data Architect and Evangelist will share how recent updates to SQL query engines like Spark and Presto are finally allowing companies to harness Hadoop’s processing power for analytics. Looker Data Analyst Eric Feinstein shares how a top 10 health insurance company built an in-cluster data platform using Looker to make all their data in Hadoop accessible to thousands of analysts and business users across the company every day.

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