Salesforce to Snowflake without a hassle.


Salesforce to Snowflake Integration

Need to integrate Salesforce data on Snowflake?

Salesforce is a leading cloud-based CRM platform that integrates with an amazing number of applications and is used by companies to handle everything from customer servicing, account management and digital marketing to time management, team collaboration and more. If you use Salesforce, you are aware of all the data it generates and the need to securely load and query that data for valuable business and customer insights. Build a Snowflake Data Lake or Snowflake Data Warehouse

Codeless Salesforce data integration tool

If you are using Snowflake as your data warehouse, BryteFlow can help you move your data from Salesforce to Snowflake in almost real-time and refresh it continually, using Change Data Capture to keep up with changes at source. You won’t need to code at all with BryteFlow’s easy drag and drop interface and built-in automation. Just a few clicks to connect and you can begin to access prepared data in Snowflake for analytics. You can merge data from different sources with your Salesforce data and transform it to a consumable format for Snowflake. BryteFlow is a Saleforce inegration tool that continually reconciles your data with data at source and you will be alerted if data is missing or incomplete. Data Transformation with ETL in Snowflake

Why use BryteFlow as a Salesforce inegration tool for Snowflake?

  • Salesforce to Snowflake low latency CDC replication with minimal impact on source.
  • BryteFlow replication uses very low compute so you can reduce Snowflake data costs.
  • Optimised for Snowflake, provides automated data merges and preparation as part of the Salesforce inegration on Snowflake.
  • No coding needed, automated interface creates exact replica or SCD type2 history on Snowflake. About Snowflake Stages
  • Manage large volumes easily with automated partitioning technology and multi-thread loading for high speed.
How to load terabytes of data to Snowflake fast
Snowflake CDC With Streams and a Better CDC Method
Transform your data with Snowflake ETL

Real-time, automated Salesforce integration tools

BryteFlow replicates huge volumes of Salesforce data to your Snowflake database fast

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

Snowflake CDC With Streams and a Better CDC Method

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.

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

No coding: Salesforce Snowflake integration is completely automated

Most data tools will set up connectors and pipelines to stream your Salesforce data to Snowflake but there is usually coding involved at some point for e.g. to merge data for basic Salesforce CDC. With our Salesforce integration tool you never face any of those annoyances. Salesforce 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.

How to load terabytes of data to Snowflake fast

Data from Salesforce to Snowflake 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 Salesforce 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 Salesforce 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.

Data maintains Referential Integrity

With BryteFlow’s Salesforce integration tool, you can maintain the referential integrity of your data when integrating Salesforce data in Snowflake. What does this mean? Simply put, it means when there are changes in the Salesforce 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.

Automated Data Reconciliation: Data is continually reconciled and checked for completeness in the Snowflake cloud data warehouse

With BryteFlow, data in the Snowflake data warehouse is compared against data in the Salesforce 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 Salesforce database and Snowflake data at a very granular level. Very few data integration software provide this feature.

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.

Automatic catch-up from network dropout

BryteFlow data integration Software has built-in resiliency. In case of a power outage or network failure you will not need to start the Salesforce data replication to Snowflake process over again. You can simply pick up where you left off – automatically.

Salesforce data can be easily merged with data from other sources and transformed

With BryteFlow’s Salesforce integration tool you can merge any kind of data from multiple sources with your data from Salesforce and transform it, so it is ready to be used at the destination for Analytics or Machine Learning.

Transform your data with Snowflake ETL

BryteFlow’s Technical Architecture

About Salesforce Database

Salesforce is the world’s leading integrated CRM platform that brings together sales, customer support and marketing by providing a shared, unified view of the customer. The Salesforce Customer 360 platform provides unique products that make for personalised marketing, better shopping experiences, faster customer support, and automation of time-consuming tasks through the creation of custom apps. Over 150,000 companies globally are growing their business with Salesforce.

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.