SQL Server to BigQuery
in real-time.


SQL Server to BigQuery Replication

SQL Server  to BigQuery Replication is No-code, Real-time and Automated

SQL Server to BigQuery replication is easy and automated with BryteFlow. Load your SQL Server data to BigQuery in real-time using SQL Server CDC or SQL Server CT and update data continuously with every change at source. Our BigQuery replication transfers data from on-premise SQL Server sources and Cloud SQL platforms to GCP BigQuery. There is no coding for any process including extraction, SCDtype2, masking, or DDL. BryteFlow supports all versions of SQL Server for replication to BigQuery.
BryteFlow’s SQL Server CDC Replication

SQL Server to BigQuery CDC Options with BryteFlow

SQL Server to BigQuery Replication Highlights

  • BryteFlow replicates data in real-time to the destination with zero impact, using  SQL Server Change Data Capture  or  SQL Server Change Tracking  or a combination of both.
  • Parallel multi-threaded loading and automated partitioning and compression for initial full refresh of data
  • Support for petabytes of SQL Server data ingestion to BigQuery, both initial and incremental
  • BigQuery replication best practices baked into the replication tool
  • Zero coding for SQL to BigQuery replication including extraction, merging, masking or type 2 history
  • Point-and-click user friendly interface for automated SQL Server to BigQuery migration
  • Data is automatically reconciled with row counts and columns checksum
  • Availability, very low latency and high throughput – approx. 1,000,000 rows in 30 seconds
  • BryteFlow supports real-time data replication from all versions of SQL Server. More on SQL Server CDC
  • BryteFlow supports on-premise and cloud hosted SQL Server sources. (eg AWS RDS, Azure SQL DB, Cloud SQL etc.) and can be installed on-premise or on the cloud SQL Server vs Postgres – A Step-by-Step Migration Journey
Suggested Reading:
SQL Server Change Data Capture (CDC) for real-time SQL Server Replication
SQL Server Change Tracking for real-time SQL Server Replication
BryteFlow for SQL Server Replication

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

Our SQL Server to BigQuery replication has very high throughput and supports petabytes of data

Got megatons of SQL data to load to BigQuery? BryteFlow makes it easy. BryteFlow XL Ingest manages the initial transfer of huge SQL Server datasets to BigQuery at super-fast speeds of approx. 1,000,000 rows in 30 seconds. BryteFlow uses parallel multi-threaded loading, automated partitioning and compression to load data fast.
SQL Server CDC for real-time SQL Server Replication

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.
SQL Server Replication with BryteFlow

No coding: SQL to BigQuery migration is completely automated

Unlike other replication software that set up connectors and pipelines to stream your SQL Server data to BigQuery, we have absolutely no coding involved in any process, for e.g. to merge data for basic SQL Server CDC. With BryteFlow you get full automation. SQL Server 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 any business user can use easily.
SQL Server Change Tracking for real-time SQL Server Replication

SQL to BigQuery data loading is monitored for data completeness from start to finish

BryteFlow provides end-to-end monitoring of data. Unlike other software which load your data without considering data accuracy or completeness, BryteFlow makes it a point to track your data. For e.g. if you are replicating SQL Server data to BigQuery at 3pm on Tuesday, Dec. 5, 2021, all the changes at source 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.
BryteFlow for SQL Server Replication

BigQuery Data maintains Referential Integrity

With BryteFlow you can maintain the referential integrity of your data when replicating SQL Server to BigQuery. This means that when there are changes in the SQL Server source and when those changes are replicated to the destination (GCP BigQuery) you can know exactly what has changed- the date, the time and the values that changed at the columnar level.

SQL Server vs Postgres – A Step-by-Step Migration Journey

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

BryteFlow automatically reconciles data in the Google BigQuery data warehouse against data in the SQL Server database continually or at a frequency of your choosing. It performs point-in-time data completeness checks for complete datasets including type-2. It compares row counts and columns checksum in the SQL Server database and BigQuery data at a very granular level – a feature rarely found in data replication software.
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

SQL Server 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 SQL Server 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.

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 SQL Server to BigQuery replication process over again. You can simply pick up where you left off – automatically.
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BryteFlow’s SQL Server to BigQuery Architecture

About Microsoft SQL Server

Microsoft SQL Server is a software that is a relational database management system owned by Microsoft. It’s primary objective is to store data and then retrieve it when other applications request it. It supports a huge range of applications including transaction processing, analytics and business intelligence. The SQL Server is a database server that implements SQL (Structured Query Language) and there are many versions of SQL Server, engineered for different workloads and demands.

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.