Hevo changelog hevodata.com

Improvements and Fixes

Hevo now allows you to ingest the records even if their timestamp exceeds the current ingestion start time. Previously, if a record had a timestamp that exceeded the current ingestion start time, it would be skipped during the ingestion process. This enhancement helps you to reduce the delay in syncing records between your Source and Destination while ensuring that no records are missed due to timestamp differences. However, this feature is currently available only upon request, and you will need to contact Hevo Support to enable it for your team.

Feature Additions

Improvements and Fixes

Enhanced the MongoDB Atlas integration to automatically identify and read data from the Analytic Nodes in your cluster. This is a significant improvement over the previous behavior in which you had to manually specify the Analytic Node in the cluster for ingesting analytic data.

Analytic Nodes are specialized secondary nodes designed to handle read-only queries for analytical workloads. This helps you to isolate data ingestion queries to these nodes, ensuring that the operational performance of your cluster is not impacted.

Read Analytic nodes.

Improvements and Fixes

Fixed a bug where MongoDB Views were ingested into Hevo, despite they not supporting OpLog or Change Streams. This prevented incremental data ingestion, resulting in stale data. To fix this, Hevo now does not ingest data from Views. This change is applicable to all new Pipelines.

Read MongoDB.

Experience

Feature Additions

Enhanced the MongoDB integration to allow modification of the list of databases from which you want to ingest data, post-Pipeline creation. Previously, you had to create a new Pipeline to remove a database or ingest data from databases that you had not added while configuring your Pipeline. This change is applicable to all new and existing Pipelines.

Experience

Enhanced the readability of the Daily Events graph in the Set Daily Data Spike Alert pop-up dialog. This has been done by introducing labels for Maximum Events and Daily Events limit and a graph break for better scaling.

Read Data Spike Alerts.

Experience

Improvements and Fixes

Reorganized and improved the content for Python Transformations for the events class to enhance clarity and ease of access. Also, provided sample scripts and examples to help understand each method's usage.

Read Transformation Methods in the Event Class and the other pages within this section.

Experience

Improvements and Fixes

Improved the content related to data ingestion and query modes to enhance clarity and reflect the latest functionality of the Hevo platform.

Read Data Ingestion and the other pages within this section and Optimizing Query Modes for Objects.

New Integration

Integrated Buildkite, a continuous integration and continuous delivery (CI/CD) platform that helps software teams automate the process of building, testing, and deploying their code.

To use this integration, you must obtain the API credentials from the Buildkite account where your data resides. The API credentials are used by Hevo for authentication.

Read Buildkite.

Improvements and Fixes

Speed Enhancements

Experience

Enhanced the data ingestion for Amazon DynamoDB to support historical load parallelization by default. If the number of historical Events exceed 10 Million, Hevo divides the data into multiple parts, and then ingests these parts simultaneously. This reduces the time taken for ingesting large amounts of data. This feature is applicable to all new Pipelines.

New Integration

Integrated Freshservice, is a cloud-based IT service management (ITSM) software that helps organizations manage their IT infrastructure and assets.

To use this integration, you must obtain the API key from the Freshservice account from where your data resides. The API key is used by Hevo for authentication.

Read Freshservice.