Using Hevo, you can now ingest data in Avro file format from your Amazon S3 or Google Cloud Storage buckets.
Avro is a commonly used data format in Presto and Apache Spark-based systems like Amazon Athena, Amazon EMR, Google Dataproc, etc. Reach out to us if you have any questions about this file format support.
In case the primary key isn’t set in your destination table, you no more have to set it manually by logging into the data warehouse. Primary Keys allow Hevo to handle updates in your records. You can now create the primary key for the destination tables in Redshift, Snowflake, and Google BigQuery warehouses from the Hevo Schema Mapper tab itself.
Google Sheets are now available as a native source. Until now Hevo supported only CSV files residing in Google drive. Now with sourcing the Google sheets through API, Hevo replicates data "as is" from a Google Sheet to your data warehouse. Hevo can replicate all or specific sheets and there is no need to define any named ranges to pull the data.
You can now perform collective actions like pausing, resuming, skipping across multiple tables within a pipeline in a single click.
We are excited to introduce Google Cloud Storage as a source on Hevo! You can now load the files in your GCS bucket into your data warehouse in just a few clicks and seamlessly analyze them in real-time.
Read more on adding GCS as a Source here.
Hevo now shows the detailed Usage Summary in the Billing section. This tab contains a break down of the total events ingested by your pipelines.
With this addition, you will now have a single window to access both historical and current month capacity utilization.
Hevo’s Google Ads source has an upgraded look and feel. With this update, you only need to build a single pipeline to load data from multiple Google Ads accounts linked to a single email account.
Whether you are a marketing agency owning different client accounts or a team running Google ads through multiple ad accounts, Hevo now has a simplified way to load all your Google Ads data to the warehouse for efficient reporting.
Hevo does not need your S3 files to be in lexical order before loading anymore! This takes away all the data preparation overhead you previously had before loading data from S3. With this newfound flexibility, you can now move data reliably from S3 to your destination.
With this new feature addition, you only need to build a single pipeline to load data from multiple Facebook Ads account linked to one Facebook Business account.
Whether you are a marketing agency owning different client accounts or a team running Facebook ads through multiple ad accounts, Hevo now has a simplified way to load all your Facebook data in just a few clicks.
With the optimizations made in our proprietary data processing algorithms, Hevo has now achieved a 3x enhancement throughput. This enables Hevo to process all your data at lightning-fast speeds!
