Real-time Data Integration Made Easy.

High throughput replication and CDC for real-time data integration

BryreFlow delivers data in real-time with log-based automated CDC and syncs data with source to keep data updated. It merges deltas including inserts, deletes and updates automatically on target. It has one of the highest throughputs, moving 1,000,000 rows in 30 seconds. This is 6x faster than GoldenGate.

Data integration with scalability for very high data volumes

BryteFlow XL Ingest transfers initial data with multi-threaded parallel loading and smart configurable partitioning so it can replicate petabytes of data in minutes. After that BryteFlow Ingest replicates incremental data using log-based Change Data Capture.

BryteFlow supports On-Prem and Cloud platforms for data integration

Whether you need data delivered on-premise or on Cloud platforms, BryteFlow integrates data in real-time on Amazon S3, Redshift, Snowflake, Azure Synapse, Azure Data Lake Gen2, Teradata, Databricks, Google BigQuery, SQL Server, Postgres, and Kafka.

BryteFlow automates every process of the data integration process

Data integration includes a lot of processes including data extraction, Change Data Capture, data mapping, schema and table creation, masking, SCD Type2 history. BryteFlow automates all of these with a point-and-click user-friendly interface so there is no coding to be done ever. How BryteFlow Works

BryteFlow data integration offers automated data reconciliation

BryteFlow TruData offers automated data reconciliation with data completeness checks by using row counts and columns checksum. It provides alerts and notifications for missing or incomplete data.

Data integration with BryteFlow provides time-series data with versioning

BryteFlow provides SCD Type2 history and time-series data so you can get a history of every transaction. You can get a version of the data from any point in the timeline.

BryteFlow data integration provides ready for use data

BryteFlow provides data conversions out-of-the-box (e.g. Parquet-snappy, ORC) so data can be immediately consumed on target for reporting, analytics, AI and Machine Learning purposes. How to choose between Parquet, ORC and Avro for S3

BryteFlow is fast to implement and easy to deploy

Data integration using BryteFlow can be up and running in as little as 2 weeks, compared to months taken by competitors. Configuration takes just a couple of hours.

BryteFlow has automated Network Catchup

In the event of a system outage or lost connectivity, BryteFlow Ingest features an automated catch-up mode so the process resumes automatically from where it left off. How to Manage Data Quality (The Case for DQM)