Connect
Integrate data seamlessly from legacy systems into next-gen cloud and data platforms with one solution.
Seamless data access and collection
Connect helps you take control of your data from mainframe and IBM i to cloud. Integrate data through batch and real-time ingestion for seamless data migration, advanced analytics, comprehensive machine learning and Artificial Intelligence (AI). Connect leverages the expertise Precisely has built over for 50 years as a leader in mainframe sort and IBM i data availability, security, and integration for complex data. Gain access to all your enterprise data for critical business projects with Precisely’s support for a wide range of sources and targets for all your ETL and change data capture (CDC) needs.
Benefits
Simplify integration
Take a one solution approach to integrate, prepare, load, cleanse, transform and stream data across clustered or cloud frameworks.
Improve access
Integrate all enterprise data, from mainframe and IBM i to cloud, while keeping secure integrations.
Real-time insights
Stream changes to data instantly for use in downstream applications, data lakes and warehouses.
Migrate and modernize
Quickly and easily add new sources and targets as your use cases grow. Deploy in new environments with no redevelopment required.
Higher ROI
Extend the value of your mission-critical systems – everything from open systems databases to mainframe and IBM i to modern cloud platforms.
Sources and targets include:
Mainframe data
VSAM, IMS, COBOL copybooks, mainframe fixed and sequential files
RDBMS
Oracle, SQL Server, Db2 for z/OS, Db2 for i, Db2 for LUW, MySQL, Sybase, PostgreSQL
Semi-structured data
JSON, XML
Enterprise data warehouses
Teradata, IBM Netezza, Vertica, Greenplum
Cloud platforms
Amazon AWS, Microsoft Azure, Google Cloud Platform
Cloud analytics
Azure Synapse Analytics, Cloudera, Databricks, Snowflake
Big data
Hadoop, Hive, Impala, Apache Avro, Apache Parquet, Apache Spark
Streaming platforms
Confluent, Apache Kafka
Flat files
Fixed length, variable length, delimited
Unrivaled scalability and efficiency for data replication
Replicate
Real-time access to data changes as they happen
Grow
Add next-gen targets, no coding required
Simplify
One solution for data replication and ETL
Access
All enterprise data sources
Mainframe access and integration
Mainframe application data enhances all types of strategic projects – from advanced analytics to machine learning and everything in between. With all that value, this data can’t be left out of your broader data integration strategy.
That said, it can be difficult or impossible for some businesses to access, integrate, or migrate mainframe data.
For most organizations, mainframe data integration success depends on specialized skills that understand legacy data. But these skills are in short supply, and that’s where data integration solutions are key to bringing mainframe data into an intuitive interface that runs on any computing environment. That way, you’re set up for success with your existing resources.
With high-performance solutions built on Precisely Connect, you directly access, understand, and transform complex mainframe data. Connect ensures that mainframe data reaches your platform of choice for advanced analytics, fraud detection, machine learning, and more.
Learn more about the mainframe access and integration capabilities of Connect.
Meet our partners
AWS
Precisely enables you to innovate with AWS Cloud services for reporting, advanced analytics, AI and GenAI using critical data from mainframe systems – without migrating mainframe applications.
Azure
Precisely enables you to innovate with AWS Cloud services for reporting, advanced analytics, AI and GenAI using critical data from mainframe systems – without migrating mainframe applications.
Confluent
With decades of expertise as a leader in mainframe sort and IBM i data availability, Precisely helps customers replicate complex data from traditional environments and Confluent so that data can be leveraged for actionable insights.
Databricks
Replicate complex data from legacy transactional systems to Databricks, including Data Unity Catalog, so that data can be leveraged for actionable insights, analytics and AI projects.
Replicate data in real-time from transactional systems, ERPs, RDBMS and more to Google Cloud to help improve data access and reduce time to insights.
Snowflake
Precisely and Snowflake are partnering to eliminate data gaps and ensure all business-critical information flows into Snowflake – keeping your architecture flexible and future-ready.
Real-time data replication with CDC
Living in a world of delayed data means making business decisions with old information. You need data replication solutions that capture and reflect data changes to your analytics and reporting layer as they happen. Connect is a highly versatile solution that helps you build data pipelines that share changes to application data as it occurs.
Connect’s real-time replication ensures that databases are in-sync for reporting, analytics, and data warehousing. You can replicate changes as they happen across hierarchical data stores (IMS, VSAM), relational databases, streaming frameworks, and the cloud. Support a variety of architectures and topologies. Connect’s resilient data delivery guarantees that you never experience interruptions in your data flow.
With Connect, worry about your business and not your systems. Get the changes you need in real-time without overloading networks or affecting performance.
To learn how Connect can help you build real-time streaming data pipelines, watch our webinar: Embracing a Streaming-First Approach to Digital Modernization
Manually added caption text, keep very short.
Optimize environments, maximize performance
You need data integration solutions that help accommodate growing volumes of data, users, and unpredictable peak usage demands. For that, you need predictable performance and scalability. Connect offers both.
Connect is the only solution with a self-tuning engine that dynamically selects the most efficient algorithms based on data structures and systems attributes at run-time. Know that you’re getting the best performance possible, regardless of if a job is on-premises or in the cloud. For ETL processes, Connect users have experienced 10X faster performance and saved hundreds of hours of development.
Connect delivers unrivaled scalability and efficiency for data replication. Connect minimizes network impact by detecting changes via database and system logs and replicating them downstream. Connect does this all without affecting the applications that still run on those systems.
To learn more read the white paper “Empowering Democratized Cloud Analytics with Mainframe Data“
Future-proof data transformations
You need solutions that can help you adapt your infrastructure to rapidly changing business and technology needs. Connect helps future-proof your data integration approach. Easily to integrate new sources and targets with Connect’s design once, deploy anywhere approach. You can visually design workflows for on-premises or cloud deployments to Spark, MapReduce, Linux, UNIX, or Windows. You never need to rewrite jobs or invest in new, specialized skills to scale data integration needs.
Connect ensures you do not have to worry about the platform you run on or location where your valuable data resides. Easily import data for hundreds or even thousands of tables living in your databases without wasting manual resources. With Connect, point, click and onboard entire schemas from a database in minutes.
“Integrating Precisely Connect with our Teradata environment was by far the best IT investment for United Rentals in many years.”
Jim Malin
United Rentals
WebinarPowering Sun Life Financials’ Enterprise Event Hub with Precisely Connect
Sun Life is a leading financial services organization dedicated to helping people achieve lifetime financial security and live healthier lives. Sun Life services clients worldwide and strives to provide the best experience, pushing their internal processes to undergo large-scale digital transformation.
They were tasked with developing a solution that would integrate data from their mission-critical mainframes to reduce the time and cost of delivering APIs. Additionally, Sun Life aimed to stream audio files to S3 through their call center application and then leverage a sync connector to move the data into an analytics workspace in AWS, where they’d train a machine learning model using Sagemaker.
