Software Alternatives & Reviews

HVR VS Google Cloud Dataflow

Compare HVR VS Google Cloud Dataflow and see what are their differences

HVR logo HVR

Your data. Where you need it. HVR is the leading independent real-time data replication solution that offers efficient data integration for cloud and more.

Google Cloud Dataflow logo Google Cloud Dataflow

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.
  • HVR Landing page
    Landing page //
    2023-09-01
  • Google Cloud Dataflow Landing page
    Landing page //
    2023-10-03

HVR

Categories
  • Monitoring Tools
  • Web Service Automation
  • MySQL Tools
  • Data Replication
  • Data Integration
  • Cloud Data Services
  • Big Data
Website hvr-software.com
Platforms
AWS Snowflake Salesforce Teradata PostgreSQL Amazon Redshift Amazon RDS Amazon S3 Amazon Aurora MySQL Snowflake On AWS Snowflake On Azure Snowflake On Google Cloud Google Cloud SQL Google Cloud Storage Google BigQuery SAP HANA SAP ECC Apache Kafka Apache Hive Apache Cassandra Microsoft SQL Server Microsoft Azure SQL Database Azure Synapse Analytics Microsoft Azure DLS Microsoft Azure Blob Storage Oracle HDFS IBM DB2 LUW IBM DB2 On z/OS IBM DB2 iSeries MariaDB MongoDB Ingres SharePoint Greenplum Actian Vector

Google Cloud Dataflow

Categories
  • Big Data
  • Data Dashboard
  • Data Warehousing
  • Data Management
Website cloud.google.com
Platforms
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HVR videos

No HVR videos yet. You could help us improve this page by suggesting one.

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Google Cloud Dataflow videos

Introduction to Google Cloud Dataflow - Course Introduction

More videos:

  • Review - Serverless data processing with Google Cloud Dataflow (Google Cloud Next '17)
  • Review - Apache Beam and Google Cloud Dataflow

Category Popularity

0-100% (relative to HVR and Google Cloud Dataflow)
Development
100 100%
0% 0
Big Data
0 0%
100% 100
Data Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare HVR and Google Cloud Dataflow

HVR Reviews

Top 10 Data Integration Software: An Overview 28 Jan 2019
HVR Software is designed for enterprise-level data integration that can process large volumes of data with minimal impact on database. It offers real-time analytics and data update with support for real-time cloud data integrations as well. Users can also efficiently move high volumes of data both on-premise and cloud. One of its downsides is that it primarily suitable for...
Source: mopinion.com
The 28 Best Data Integration Tools and Software for 2020
Description: HVR offers a variety of data integration capabilities, including cloud, data lake, and real-time integration, database and file replication, and database migration. The product allows organizations to move data bi-directionally between on-prem solutions and the cloud. Real-time data movement continuously analyzes changes in data generated by transactional...

Google Cloud Dataflow Reviews

We have no reviews of Google Cloud Dataflow yet.
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Social recommendations and mentions

Based on our record, Google Cloud Dataflow seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

HVR mentions (0)

We have not tracked any mentions of HVR yet. Tracking of HVR recommendations started around Mar 2021.

Google Cloud Dataflow mentions (14)

  • How do you implement CDC in your organization
    Imo if you are using the cloud and not doing anything particularly fancy the native tooling is good enough. For AWS that is DMS (for RDBMS) and Kinesis/Lamba (for streams). Google has Data Fusion and Dataflow . Azure hasData Factory if you are unfortunate enough to have to use SQL Server or Azure. Imo the vendored tools and open source tools are more useful when you need to ingest data from SaaS platforms, and... Source: about 1 year ago
  • Here’s a playlist of 7 hours of music I use to focus when I’m coding/developing. Post yours as well if you also have one!
    This sub is for Apache Beam and Google Cloud Dataflow as the sidebar suggests. Source: over 1 year ago
  • How are view/listen counts rolled up on something like Spotify/YouTube?
    I am pretty sure they are using pub/sub with probably a Dataflow pipeline to process all that data. Source: over 1 year ago
  • Best way to export several GCP datasets to AWS?
    You can run a Dataflow job that copies the data directly from BQ into S3, though you'll have to run a job per table. This can be somewhat expensive to do. Source: over 1 year ago
  • Why we don’t use Spark
    It was clear we needed something that was built specifically for our big-data SaaS requirements. Dataflow was our first idea, as the service is fully managed, highly scalable, fairly reliable and has a unified model for streaming & batch workloads. Sadly, the cost of this service was quite large. Secondly, at that moment in time, the service only accepted Java implementations, of which we had little knowledge... - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing HVR and Google Cloud Dataflow, you can also consider the following products

Striim - Striim provides an end-to-end, real-time data integration and streaming analytics platform.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Oracle Data Integrator - Oracle Data Integrator is a data integration platform that covers batch loads, to trickle-feed integration processes.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Bryteflow Data Replication and Integration - Bryteflow is a popular platform that offers many services, including data replication and integration.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?