Oracle to BigQuery in real-time.


Oracle to BigQuery Migration

Oracle to Google BigQuery Data Replication is automated with BryteFlow

Oracle to BigQuery replication is no-code and real-time with BryteFlow. Move your Oracle data to BigQuery using low-impact CDC (Change Data Capture). Load Oracle data to BigQuery in real-time and sync it with every insert, delete and update at source. There is no coding for any process including extraction, SCDtype2, masking, or DDL. Our Oracle BigQuery data replication tool supports large bulk loads with multi-threaded parallel loading, smart partitioning and compression for the initial full refresh of data. It loads incremental changes using log-based CDC. Data on destination is automatically reconciled with source. BryteFlow supports all versions of Oracle for replication to BigQuery including Oracle 12c, 19c and 21c.
BryteFlow’s Oracle CDC Replication

Oracle to BigQuery Data Replication Highlights

  • BryteFlow’s Oracle to BigQuery CDC replication has zero impact on source
  • High performance – multi threaded configurable data extraction and loading from Oracle to BigQuery
  • BigQuery replication best practices baked into the software Change Data Capture and CDC Automation
  • BryteFlow is at least 6x faster than GoldenGate and also faster than Qlik Replicate and HVR
  • Zero coding for Oracle to BigQuery replication including extraction, merging, masking or type 2 history
  • Automated Data Reconciliation with row counts and columns checksum
  • Support for petabytes of Oracle data ingestion to bigQuery, both initial and incremental Oracle to Snowflake: Everything You Need to Know
  • Availability and high throughput – approx. 1,000,000 rows in 30 seconds GoldenGate CDC and a better alternative
  • BryteFlow provides replication support for all Oracle versions, including Oracle 12c, 19c, 21c and future releases for the long term.

Suggested Reading:

Oracle CDC (Change Data Capture): 13 things to know
Oracle Replication in Real-time Step by Step
Oracle to SQL Server Migration: Reasons, Challenges and Tools
Oracle to Snowflake: Everything You Need to Know

Real-time, No-Code Oracle to BigQuery Replication using CDC

BryteFlow replicates huge volumes of Oracle data to your BigQuery database fast

When you have huge volumes of data to load to BigQuery, BryteFlow makes it easy. BryteFlow XL Ingest handles the moving of huge Oracle datasets to BigQuery at super-fast speeds of approx. 1,000,000 rows in 30 seconds. BryteFlow uses parallel multi-threaded loading and partitioning to load data at breakneck speeds. Oracle CDC (Change Data Capture): 13 Things to Know

How much time will your Database Administrators need to spend on managing the replication?

Usually DBAs spend a lot of time in managing backups, managing dependencies until the changes have been processed, in configuring full backups etc. which adds to the Total Cost of Ownership (TCO) of the solution. The replication user in most of these replication scenarios needs to have the highest sysadmin privileges. With BryteFlow, it is “set and forget”. There is no involvement from the DBAs required on a continual basis, hence the TCO is much lower. Further, you do not need sysadmin privileges for the replication user.
BryteFlow for Oracle CDC

No coding: Oracle to BigQuery migration is completely automated

Most Oracle replication software set up connectors and pipelines to stream your Oracle data to BigQuery but there is usually some coding involved for e.g. to merge data for basic Oracle CDC. With BryteFlow you get full automation. Oracle data replication, data merges, SCD Type2 history, data transformation and data reconciliation are all automated and self-service with a point and click interface that ordinary business users can use with ease.
Oracle Replication in Real time Step by Step

Oracle to Google BigQuery Data Replication is monitored for data completeness end to end

BryteFlow provides monitoring of data from start to finish. Unlike other software which stream your data without checking data accuracy or completeness, BryteFlow makes it a point to track your data. For e.g. if you are replicating Oracle data to BigQuery at 5pm on Thursday, Dec. 7, 2021, all the changes that happened till that point will be replicated to the BigQuery database, latest change last so the data will be replicated with all inserts, deletes and changes present at source at that point in time.
Oracle to SQL Server Migration: Reasons, Challenges and Tools

Data maintains Referential Integrity

With BryteFlow you can maintain the referential integrity of your data when replicating Oracle to BigQuery. What does this mean? Simply put, it means when there are changes in the Oracle source and when those changes are replicated to the destination (Google BigQuery) you can pinpoint the changes exactly – the date, the time and the values that changed at the columnar level.
Oracle to Snowflake: Everything You Need to Know

Data is continually and automatically reconciled and checked for completeness in the BigQuery cloud data warehouse

With BryteFlow, data in the Google BigQuery data warehouse is checked against data in the Oracle database continually or you can select a frequency for this to happen. It performs point-in-time data completeness checks for complete datasets including type-2. It compares row counts and columns checksum in the Oracle database and BigQuery data at a very granular level. Very few data integration software provide this feature.
About BryteFlow TruData, our Data Reconciliation Tool

Archive data while preserving SCD Type 2 history

BryteFlow provides time-stamped data and the versioning feature allows you to access data from any point on the timeline. This versioning feature is integral to historical and predictive trend analysis.
About BryteFlow Ingest

Oracle data can be easily merged with data from other sources and transformed -no coding needed

BryteFlow is completely automated. You can merge any kind of data from multiple sources with your data from Oracle and transform it, so it is ready to be used at the destination for Analytics or Machine Learning. No coding required – just drag, drop and click.

Remote log mining for Oracle data

With BryteFlow you can use remote log mining for Oracle data. The logs can be mined on a completely different server therefore there is zero load on the source. Your operational systems and sources are never impacted even though you may be mining huge volumes of data.
Oracle to Snowflake: Everything You Need to Know

Data replication 6x faster than Oracle GoldenGate

BryteFlow replication of data is 6x faster than GoldenGate’s for initial and incremental data and also much faster than Qlik Replicate and HVR. This is based on actual experience with a client. Try out BryteFlow for yourself and see exactly how fast it works to migrate your Oracle data to BigQuery.
GoldenGate CDC and a better alternative

Automatic catch-up from network dropout

BryteFlow has built-in resiliency. In case of a power outage or network failure you will not need to start the Oracle to BigQuery replication process over again. You can simply pick up where you left off – automatically.
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BryteFlow’s Oracle to BigQuery Architecture

About Oracle Database

Oracle DB is also known as Oracle RDBMS (Relational Database Management System) and sometimes just Oracle. Oracle DB allows users to directly access a relational database framework and its data objects through SQL (Structured Query Language). Oracle is highly scalable and is used by global organizations to manage and process data across local and wide area networks. The Oracle database allows communication across networks through its proprietary network component.

About Google BigQuery

BigQuery is the Google Cloud Platform’s fully managed, enterprise data warehouse. It is higly flexible and separates compute and storage. BigQuery is serverless and users can use SQL to run queries. There is no infrastructure management involved and BigQuery’s scalability and distributed analysis engine enables users to run queries extremely fast. Google BigQuery has innovative built-in features like machine learning, geospatial analysis, and business intelligence.