SQL Server to SQL Server in real-time.


Fast SQL Server migration to SQL Server without coding

BryteFlow replicates your SQL Server data to SQL Server in real-time

Migrating your SQL Server database to Azure SQL Server? Moving data from on-prem SQL Servers to SQL Servers in the cloud? BryteFlow helps to replicate data from SQL Server, merge it with data from other sources, transform it so it is ready for use on your SQL Server in the cloud. Get real-time reporting and analytics at destination, no coding required!

SQL Server CDC (Change Data Capture) for SQL Server replication in real-time
SQL Server CT (Change Tracking) for SQL Server replication in real-time

Codeless, automated, real-time SQL Server to SQL Server replication

BryteFlow enables data replication from SQL Servers either hosted on-premises or hosted in Azure cloud to SQL Servers in the cloud. BryteFlow helps you to replicate your data from SQL Server to SQL Server in almost real-time and refresh it continually, using Change Data Capture to keep up with changes at source. It has an easy drag and drop interface and built-in automation so you won’t need to code at all. Just a few clicks to connect and you can begin to access prepared data in SQL Server for analytics. Merge data from any transactional database, any file or API with your SQL Server data and transform it to a consumable format for SQL Server. BryteFlow provides automated data reconciliation with source and you will get alerts and notifications in case of missing or incomplete data.

Change Data Capture Types and CDC Automation

Real-time SQL Server migration to SQL Server

BryteFlow for SQL Server

Real-time, SQL Server ETL to SQL Server

Our data replication tool replicates really large volumes of SQL Server data to your SQL Server database fast

BryteFlow uses parallel multi-thread loading, smart partitioning and compression of data to ingest terabytes of data for SQL Server replication to SQL Server. BryteFlow XL Ingest has been specially created for the initial full ingest of large volume data at super-fast speeds. After this BryteFlow Ingest takes over for continual data replication.

The Easy Way to CDC from Multi-Tenant Databases

SQL Server ETL to SQL Server is completely automated

Most SQL Server data tools will set up connectors and pipelines to ETL your SQL Server data to SQL Server but there is usually coding involved at some point for e.g. to merge data for basic SQL Server CDC. With BryteFlow you never face any of those annoyances. 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 ordinary business users can use with ease.

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

Our data integration software uses efficient log-based SQL Server CDC to replicate changes, not time-consuming ETL

Very often software depends on a full refresh to update destination data with changes at source. This is time consuming and affects source systems negatively, impacting productivity and performance. BryteFlow uses log-based Change Data Capture or SQL Server Change Tracking which is zero impact and uses database transaction logs to query SQL Server data at source and copies only the changes into the SQL Server database. The data in the SQL Server data warehouse is updated in real-time or at a frequency of your choice. Log based SQL Server CDC is absolutely the fastest, most efficient way to replicate your SQL Server data to SQL Server.

SQL Server CDC for real-time SQL Server replication

Cut down time spent by Database Administrators in managing the SQL replication

You need to work out how much time your DBAs will need to spend on the solution, in managing backups, managing dependencies until the changes have been processed, in configuring full backups and then work out the true Total Cost of Ownership (TCO) of the solution. The replication user in most of these SQL 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.

The Easy Way to CDC from Multi-Tenant Databases

Automated data reconciliation in the SQL Server data warehouse

With BryteFlow, data in the SQL Server warehouse is validated against data in the SQL Server replication database continually or you can choose 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 SQL Server replication database and SQL Server data at a very granular level.Very few data integration software provide this feature.

Data from SQL Server to the SQL Server database is monitored for data completeness from start to finish

BryteFlow provides end-to-end monitoring of data. Reliability is our strong focus as the success of the analytics projects depends on this reliability. Unlike other software which set up connectors and pipelines to SQL Server source applications and stream your data without checking the data accuracy or completeness, BryteFlow makes it a point to track your data. For e.g. if you are replicating SQL Server data to SQL Server at 2pm on Thursday, Nov. 2019, all the changes that happened till that point will be replicated to the SQL Server database, latest change last so the data will be replicated with all inserts, deletes and changes present at source at that point in time.

The option to archive data while preserving SCD Type 2 history

BryteFlow provides time-stamped data and the versioning feature allows you to retrieve data from any point on the timeline. This versioning feature is a ‘must have’ for historical and predictive trend analysis.

Your data maintains Referential Integrity

With BryteFlow you can maintain the referential integrity of your data when replicating SQL Server data to SQL Server. What does this mean? Simply put, it means when there are changes in the SQL Server source and when those changes are replicated to the destination (SQL Server) you can put your finger exactly on the date, the time and the values that changed at the columnar level.

Merge SQL Server data with data from other sources

With BryteFlow you can merge any kind of data from multiple sources (any database, any file, any API) with your data from SQL Server for Analytics or Machine Learning.

Data replication is 6x faster than Oracle GoldenGate’s

BryteFlow replication of data is at least 6x faster than GoldenGate’s. This is based on actual experience with a client and not an idle boast. Try out BryteFlow for yourself and see exactly how fast it works to migrate your SQL Server data to SQL Server.

Get a Free Trial of BryteFlow

Data gets automatic catch-up from network dropout

If there is a power outage or network failure will you need to start the SQL Server replication to SQL Server process over again? Yes, with most software but not with BryteFlow. You can simply pick up where you left off – automatically.

BryteFlow’s Technical 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.

BryteFlow supports all editions and versions of SQL Server

SQL Servers has many editions: Enterprise, Standard, Developer, Business Intelligence etc. There are also many versions like SQL Server 2019, SQL Server 2017, SQL Server 2016 and SQL Server 2014 among others. BryteFlow supports SQL replication from all editions and versions to SQL Servers in the cloud. SQL Servers in the cloud are secure, highly scalable, flexible and have virtually no downtime.