What is Data Replication?
Replication of data occurs when it gets copied from one database to another. However efficient data replication involves a number of factors that need to be in place. BryteFlow data replication is real-time, ingests data easily from a multitude of sources (even from difficult legacy databases like SAP) and comes with the assurance of consistency, integrity and high availability.
Why you need data replication
Data replication is necessary to get data together from different data streams both internal and external to the company’s environment. Then the data must be merged and transformed and integrated so users can get a single, common view of the data for business intelligence, reporting and analytics. Data replication should be platform-independent, automated and high performing, so organizations can distribute and access data with ease and in real-time.
Data replication in real-time with CDC
BryteFlow data replication features Change Data Capture (CDC) technology with database transaction logs. It continuously updates only data that has changed and avoids time-consuming batch processing that is notorious for slowing down processes.
Real-time access to data with no load on the source
Even if you don’t have real-time access requirements for your data, BryteFlow’s real-time replication engine works for large volumes of data as it removes the need for large bulk extracts at the end of the day. Real-time access to the data helps in getting insights faster. With zero load on the source, the data replication does not impact production processes and provides flexibility with fast access.
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Types of Data Replication
Push Data Replication
In this case, the source database sends the updates and changes to the destination or target at defined replication intervals to ensure that all data are mutually consistent. The data is queried at defined replication intervals and a snapshot of the tables is taken.The latest data snapshot then replaces the earlier one in your target destination.
Pull Data Replication
Your data source notifies the destination so it can pull the data updates in their own time, or the destination pulls the data whenever it sees fit. An indicator is defined for each table -usually time updated at. At every row insertion or update, the indicator is triggered and data tables queried to capture the changes. The changes are then copied to the target and merged.
BryteFlow Data Replication with CDC
BryteFlow uses a push data replication combined with Change Data Capture to get the updates real-time to the target. This is the fastest, most efficient way to replicate your data from your databases in an automated manner, with zero impact on the source. BryteFlow uses database transaction logs to query data in the source and copies the changes into the target. The data in the target is updated in real-time or at a frequency of your choice.
BryteFlow Ingest & XL Ingest
BryteFlow Ingest is our data replication tool extraordinaire. It uses a proprietary technology to replicate huge volumes of data from multiple sources at dizzying speeds to Amazon S3 in real-time. While BryteFlow Ingest replicates large databases effortlessly, XL Ingest is intended for huge petabyte databases.
- Completely codeless and automated data replication.
- Ingest data automatically in real-time from hundreds of sources.
- Access data immediately with real-time replication of your source in the data lake.
- Efficiently manage transactional data and sync changes continuously.
- Get a range of data conversions out of the box including Typecasting
and GUID data type conversion.
- Retrieve data from any point on the timeline with timestamping feature.
- Automatic catch-up from network dropout.