Data Integrity Suite

Data Integration Sources and Targets

Break down data silos by quickly building modern data pipelines that drive innovation.

 

 

Mission-critical sources

Connect and combine data from disparate sources – from apps and databases to cloud services and more. Data Integration enables you to build resilient, high-performance data pipelines that connect data from your critical systems to modern platforms, driving faster innovation and competitive advantage.

Data Integration Icon

Real-time Data Replication

Precisely has streaming solutions to connect supported sources with targets in real time.

  • Azure SQL (Microsoft)
  • Aurora RDS for PostgreSQL (Amazon)
  • BigQuery (Google)
  • Confluent Cloud
  • Confluent Platform
  • Db2 on z/OS
  • Db2 on IBM i
  • Db2 LUW
  • Event Hub (Microsoft)
  • File System
  • Flat Files
  • Cloud SQL (Google)
  • CSV
  • IAM
  • IMS
  • Informix
  • Teradata
  • MySQL
  • MSK (Amazon)
  • Oracle
  • Oracle RDS (Amazon)
  • ODBC
  • PostgreSQL
  • QSAM
  • Snowflake
  • VSAM
  • Db2 LUW
  • Db2 RDS (Amazon)
  • SQL Server (Microsoft)
  • SQL Server RDS (Amazon)
  • Sybase

Precisely has been selected as a strategic partner by AWS for real-time data replication. Learn more about the partnership.

Don’t see what you need here? Contact us for a complete list of real-time replication patterns.

ETL from Cluster to Cloud

High performance and scalable data integration for all enterprise platforms.

  • Amazon Redshift
  • Amazon S3
  • AWS Services
  • Cloudera
  • Databricks
  • Db2
  • Flat Files
  • Impala
  • JSON
  • Kafka
  • Kudu
  • Mainframe (fixed length, sequential, VSAM)
  • Microsoft Azure Services
  • HDFS
  • NoSQL
  • Oracle
  • PostgreSQL
  • RDBMS
  • Snowflake
  • SQL Server
  • Teradata
  • Hive
  • IBM iSeries
  • MPP Files
  • Netezza
  • XML
  • And more…

Don’t see what you need here? Contact us for a complete list of sources.

Amazon Web Services

  • Redshift
  • S3

Microsoft Azure

  • SQL Server
  • Azure Table Storage

Google Cloud

  • Google BigQuery
  • Google Analytics

IBM

  • Db2 for z/OS
  • Db2 for i series
  • IMS
  • VSAM

Databases

  • DynamoDB
  • Elasticsearch
  • Fauna
  • PostgreSQL
  • MongoDB
  • MySQL
  • Oracle

Data Warehouses & Lakes

  • Firebolt
  • Snowflake

Applications

  • GitHub
  • Jira
  • Marketo
  • NetSuite
  • Salesforce
  • Shopify
  • HubSpot

Messaging & Streaming

  • Confluent Kafka
  • Kafka

Amazon Web Services

  • AWS Kinesis
  • AWS RedShift
  • S3
  • Amazon MSK
  • RDS Aurora
  • RDS PostgreSQL
  • RDS SQL Server

Microsoft Azure

  • Azure BLOB storage

Google Cloud

  • Pub/Sub
  • Google Cloud Storage
  • BigQuery

File Systems

  • VSAM
  • CSV

Databases

  • SQL Server
  • MySQL
  • PostgreSQL
  • Db2
  • Oracle
  • MariaDB
  • MongoDB
  • IMS
  • Apache Cassandra

Data Warehouses & Lakes

  • Snowflake
  • BigQuery
  • Databricks
  • Firebolt

Applications

  • NetSuite
  • GitHub

Messaging & Streaming

  • Confluent Kafka
  • Kafka