Migrate data from Oracle to Snowflake.


Get Oracle data to Snowflake

Why you should use BryteFlow to get your Oracle data to Snowflake

If you have to migrate Oracle data or load Oracle data to Snowflake, you may be in a quandary as to which Oracle replication tool to use. There are a lot of automated data replication tools out there that will ETL your Oracle data to the Snowflake data warehouse. But exactly how efficient are they? There are some points you may need to consider before committing to a data replication tool.

Learn about BryteFlow for Oracle
  • Low latency, log based replication with minimal impact on source. Real-time Oracle Replication step by step
  • BryteFlow data replication uses very low compute so you can reduce Snowflake data costs. About Snowflake Stages
  • No coding needed, automated interface creates exact replica or SCD type2 history on Snowflake.
  • Manage large volumes easily with automated partitioning mechanisms for high speed. AWS DMS Limitations for Oracle
  • BryteFlow provides replication support for all Oracle versions, including Oracle 12c, 19c, 21c and future releases for the long term.
Oracle CDC (Change Data Capture): 13 things to know
How to load terabytes of data to Snowflake fast
GoldenGate CDC and a better alternative
Oracle to Snowflake: Everything You Need to Know

Real-time, codeless, automated Oracle data replication to Snowflake

Can your replication tool replicate really, really large volumes of Oracle data to your Snowflake database fast?

When your data tables are true Godzillas, including Oracle data, most data replication software roll over and die. Not BryteFlow. It tackles terabytes of data for Oracle replication head-on. BryteFlow XL Ingest has been specially created to replicate huge Oracle data to Snowflake at super-fast speeds.

Snowflake CDC With Streams and a Better CDC Method

How much time do your Database Administrators need to spend on 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.

Build a Snowflake Data Lake or Snowflake Data Warehouse

Are you sure Oracle replication to Snowflake and transformation are completely automated?

This is a big one. Most Oracle data tools will set up connectors and pipelines to stream your Oracle data to Snowflake but there is usually coding involved at some point for e.g. to merge data for basic Oracle CDC. With BryteFlow you never face any of those annoyances. 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 CDC (Change Data Capture): 13 things to know

Is your data from Oracle to Snowflake 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 Oracle 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 Oracle data to Snowflake at 2pm on Thursday, Nov. 2019, all the changes that happened till that point will be replicated to the Snowflake database, latest change last so the data will be replicated with all inserts, deletes and changes present at source at that point in time.

Real-time Oracle Replication step by step

Does your data integration software use time-consuming ETL or efficient Oracle CDC to replicate changes?

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 Oracle CDC to Snowflake which is zero impact and uses database transaction logs to query Oracle data at source and copies only the changes into the Snowflake database. The data in the Snowflake data warehouse is updated in real-time or at a frequency of your choice. Log based CDC is absolutely the fastest, most efficient way to replicate your Oracle data to Snowflake.

AWS DMS Limitations for Oracle Replication

Does your data maintain Referential Integrity?

With BryteFlow you can maintain the referential integrity of your data when replicating Oracle data to Snowflake. 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 (Snowflake) you can put your finger exactly on the date, the time and the values that changed at the columnar level.

Here’s Why You Need Snowflake Stages (Internal & External)

Is your data continually reconciled in the Snowflake cloud data warehouse?

With BryteFlow, data in the Snowflake cloud data warehouse is validated against data in the Oracle 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 Oracle replication database and Snowflake data at a very granular level. Very few data integration software provide this feature.
Snowflake CDC With Streams and a Better CDC Method

Do you have the option to archive data while preserving SCD Type 2 history?

BryteFlow does. It 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.

Oracle to Snowflake: Everything You Need to Know 

Can your data get automatic catch-up from network dropout?

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

Can your Oracle data be merged with data from other sources?

With BryteFlow you can merge any kind of data from multiple sources with your data from Oracle for Analytics or Machine Learning.

Transform your data with Snowflake ETL

Is remote log mining possible with the software?

With BryteFlow you can use remote log mining. 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.

Is the data replication tool faster than GoldenGate?

BryteFlow replication of data definitely is. 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 Oracle data to Snowflake.

GoldenGate CDC and an easier alternative

Unique Architecture for Oracle to Snowflake

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 Snowflake Data Warehouse

The Snowflake Data Warehouse or Snowflake as it is popularly known is a cloud based data warehouse that is extremely scalable and high performance. It is a SaaS (Software as a Service) solution based on ANSI SQL with a unique architecture. Snowflake’s architecture uses a hybrid of traditional shared-disk and shared-nothing architectures. Users can get to creating tables and start querying them with a minimum of preliminary administration.