Load SQL Server data to Azure Synapse in real-time
Why you should use BryteFlow to get your SQL Server data to Azure Synapse
When you need to load SQL Server data to Azure Synapse, you need to focus on which SQL Server replication tool to use. With the many automated data replication tools available to ETL your SQL Server data to Azure Synapse, it’s tough to choose. What you need is real-time data ingestion that is cost effective, easy to use and fast. That’s exactly what BryteFlow does – automated data integration that delivers data in real-time, without ANY coding. Learn about SQL Server CDC for real-time SQL Server replication
Codeless, automated, real-time SQL Server to Azure Synapse replication
If you are using Azure Synapse as your data warehouse, BryteFlow enables you to replicate your data from SQL Server to Azure Synapse in almost real-time and refresh it continually, using Change Data Capture to keep up with changes at source. BryteFlow 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 Azure Synapse for analytics. Merge data from any database, any file or API with your SQL Server data and transform it to a consumable format for Azure Synapse. BryteFlow provides automated data reconciliation with source and you will get alerts and notifications if data is missing or incomplete. Build an Azure Data Lake on ADLS Gen2
Real-time data ingestion to Azure Synapse Analytics
- 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.
- Optimised for Azure Synapse.
- No coding needed, automated interface creates exact replica or SCD type2 history on Azure Synapse.
- Manage bulk data ingests easily with parallel loading and automated partitioning mechanisms for high speed.
- BryteFlow supports data replication from all versions of SQL Server.
- Automated data reconciliation to validate completeness of data. SQL Server vs PostgresSQL
Real-time, codeless, automated SQL Server data replication to Azure Synapse Analytics
This data replication tool replicates really large volumes of SQL Server data to your Azure Synapse database fast
BryteFlow uses parallel multi-thread loading, smart partitioning and compression of data to ingest terabytes of data for SQL Server replication to Azure Synapse. 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.
SQL Server replication to Azure Synapse is completely automated
Most SQL Server data tools will set up connectors and pipelines to stream your SQL Server data to Azure Synapse 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.
Create an Azure Data Lake on ADLS Gen2
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 Azure Synapse database. The data in the Azure Synapse 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 Azure Synapse.
Cut down time spent by Database Administrators in managing the 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 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.
Automated data reconciliation in the Azure Synapse Analytics data warehouse
With BryteFlow, data in the Azure Synapse 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 Azure Synapse data at a very granular level.Very few Azure data integration software provide this feature.
Data from SQL Server to Azure Synapse 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 Azure Synapse at 2pm on Thursday, Nov. 2019, all the changes that happened till that point will be replicated to the Azure Synapse 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.
Data Integration on Azure Synapse
Your data maintains Referential Integrity
With BryteFlow you can maintain the referential integrity of your data when replicating SQL Server data to Azure Synapse. 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 (Azure Synapse) 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 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 Azure Synapse.
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 data replication to Azure Synapse process over again? Yes, with most software but not with BryteFlow. You can simply pick up where you left off – automatically.
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 Azure Synapse Analytics
Azure Synapse Analytics has evolved from the Azure SQL Data Warehouse. It is owned by Microsoft. It is a limitless analytics service for integrating enterprise data warehousing and Big Data analytics. It gives users the capability to query data with serverless or provisioned resources at scale. Azure Synapse provides a unified experience to ingest, prepare, manage and access data for analytics and machine learning.