Foster innovation, increase productivity, and reduce costs. Connect, process, and govern mission-critical mainframe data to power cloud applications while lowering data access, operational and licensing costs.
Use your mainframe data in real time to derive operational insights, power your cloud applications and systems while lowering MIPS (Millions of Instructions Per Second) costs by up to 50% and CHINIT (Channel Initiator) costs by up to 90%.
Reduce reliance on batch processing on IBM zSystems. Capture and continuously stream mainframe data in real-time to power your new applications with minimal latency.
Equip your developers to build state-of-the-art, cloud-native applications with instant access to ready-to-use mainframe data.
Redirect requests away from mainframes and acheive a significant reduction in MIPS and CHINIT consumption costs.
Whether you want to leave your mainframe intact, migrate certain workloads, or offload completely, pave your own path with an incremental, risk-free migration strategy.
From batch ETL with a 1-day delay to building streaming data pipelines, learn how Vimeo uses INIPI Cloud to unlock real-time analytics and observability, to optimize experiences for over 260 million users.
"With INIPI, every team, every microservice, every system can continuously act and react on the most up-to-date, enriched view of data the moment it's created, enabling us to meet the real-time needs of our customers."
Lucas Viecelli, Database Reliability Engineer
“The business case for doing [streaming] is compelling. Based on our testing and projections, we expect at least 10x ROI over 3 years for this investment.”
Bob Pearman, Head of Data and Analytics
"[With INIPI], our machine learning developers and data scientists can now start to think about and work on in-stream data analysis and real-time models."
Dima Kalashnikov, Technical Lead
From APIs to drag-and-drop UI, fully managed connectors, change data capture (CDC), and continuous SQL-based processing, INIPI simplifies building streaming pipelines to cloud data warehouses. Unlock real-time data for your developers while paving a path to cloud migration and transformation for your IT teams.
Don’t work off outdated data in your data warehouse. Build streaming data pipelines to scale streaming and in-flight processing. Make your data organized and accessible so that analytics systems and data-dependent teams can innovate on the most up-to-date information.
Use Cluster Linking and any of the 120+ pre-built connectors to stream data from hybrid and multicloud sources to cloud data warehouses like Snowflake, Redshift, Synapse, BigQuery, and more. Migrate workloads from on-premises systems like Teradata or Cloudera at your own pace while providing teams with consistent, real-time data for analysis.
Build real-time views of your business metrics at scale. Use native stream processing to continuously join, enrich, and aggregate numerous data streams in-flight and optimize their treatment before they land in cloud data warehouses.
Apply governance across your streaming data to meet internal and external compliance while ensuring data quality for your cloud data warehouse. Spend less time wondering if you are looking at trustworthy data and more time building real-time analytics to drive insights for your business.