Apache Pinot engine with 14 pre-built connectors. Sub-second queries across millions of transactions. Your single source of truth.
Most credit unions have member data spread across their core processor, digital banking platform, loan origination system, card processor, and a dozen spreadsheets. Pinot Pulse unifies all of it into a single real-time analytics layer — with no custom development required.
Built on Apache Pinot — the same technology powering analytics at LinkedIn and Uber — our data platform ingests streaming and batch data from any source and makes it queryable in under one second.
No custom ETL. No middleware. Dedicated adapters that understand your core's data model out of the box.
Native connector for DNA's relational data model. Member demographics, share accounts, loan accounts, transaction history — mapped and normalized automatically.
PowerOn-aware connector that understands Symitar's file-based architecture. Extracts member, share, loan, and GL data with field-level precision.
REST API connector for KeyStone's modern architecture. Real-time webhooks for transaction streaming plus batch sync for historical data.
Snowflake, PostgreSQL, MySQL, BigQuery, Apache Kafka, AWS S3, Azure Data Lake, SFTP, REST API, CSV/Excel upload, and file-based ingestion.
Sub-second analytical queries across millions of transaction records using Apache Pinot's columnar storage.
Validated at 10 million+ transactions with linear scaling. Handles peak loads with backpressure control.
Including 3 dedicated CU core processor adapters. New connectors via pluggable provider architecture.
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