What is your primary use case for Fivetran?

I work in a company where Fivetran is being used, and we pay the licenses to them. We use it as a customer with a lot of different sources to our databases, such as Google Cloud Storage. Fivetran is used to establish data connections in the pipeline, for example, from SAP S4HANA to Google Cloud Storage.

Fivetran is used as an ingestion tool to move data between different sources and destinations. It orchestrates a series of pipelines that can be easily set up manually without any technical experience. These pipelines can run daily according to a specific schedule, depending on the licensing level. Fivetran addresses schema changes and updates destination tables unless there's a major difference, which is helpful in integrating systems from third parties.

Fivetran is an ingestion tool used to move data between different sources and destinations. It helps orchestrate pipelines that can be set up manually without technical experience. It facilitates daily pipeline runs based on a specific schedule determined by the licensing level.

At our company, we are using Fivetran for change data capture and to sync between two different databases using the high volume replication feature.

We mainly use Fivetran for ETL.

We use the solution to replicate data from our ERP.

We use Fivetran to build data engineering pipelines. It helps us do a lot of data transformation and data extraction.

We use Fivetran for bidirectional data synchronizations between systems.

Real-time streaming and SAP are the primary use cases of the solution.

This solution was previously called HVR, which stands for "high-volume replicator." It is now part of Fivetran. It is useful when you need to migrate a large volume of data. We use it for massive data migrations from 30 or 40 sources, including the file system database and some transitional systems. In our case, we had historical and active data. Everything was in on-premise Oracle databases. The historical data itself was around 4.5 terabytes. Fivetran is currently deployed in an AWS EC2 instance.

Our company uses the solution for the extraction part of data warehousing and ETL or ELT processing. Once we extract, we use Snowflake to database as soon as possible. Later on, we process the data. We currently have five to ten users with no significant growth plans. We recently added one new team member and he is already accessing the solution.

We use FiveTran to do data integration and pipelines into data warehouses for analytics. We do the typical use case of bringing in from our internal systems, data syncing, change data capture, as well as bringing from third-party systems, like Salesforce, NetSuite, and even Google Analytics and web platforms. We use the solution primarily in an ELT framework.

We have a number of different data sources that we collect information in from; for example, Salesforce for sales, Marketo for marketing, NetSuite for finance. We wanted to centralize all that data into a data warehouse, which is why we use Fivetran to manage all of those data pipelines.

I mainly use HVR Software for replication and migration.

We are doing a proof of concept, and we are still building the operating model. We are using it for moving data from one source to another. We will be using HVR with Snowflake.

I'm responsible for replicating the data from one source to another. It is constantly running, and we do nothing other than looking at monitoring reports. Once it is established, it is pretty much hands-off. We are not using its latest version. We are slow to migrate to the new version. We wait until there is a need to upgrade, and we are generally one or two versions behind.

We primarily use the solution for business intelligence.

We are currently using the private model of this solution. It is CDC and we take data from an OLTP system to populate a data warehouse and to populate a reporting system.