Software Alternatives, Accelerators & Startups

HVR VS StreamSets Data Collector

Compare HVR VS StreamSets Data Collector 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.

StreamSets Data Collector logo StreamSets Data Collector

The StreamSets Data Collector (SDC) is used to build, test and execute dataflow pipelines for data lake and multi-cloud data movement plus cybersecurity, IoT and customer 360 applications.
  • HVR Landing page
    Landing page //
    2023-09-01
  • StreamSets Data Collector Landing page
    Landing page //
    2023-10-20

HVR

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

HVR features and specs

  • Real-Time Data Replication
    HVR provides real-time data replication which ensures data is consistently up to date across all systems, reducing the risk of data discrepancies.
  • Wide Range of Supported Systems
    Supports numerous databases and platforms including cloud, on-premise, and hybrid environments, offering flexibility in diverse IT ecosystems.
  • Efficient Bandwidth Usage
    Utilizes compression techniques that minimize the amount of data transferred, optimizing network bandwidth usage.
  • Scalability
    Scalable to handle large volumes of data efficiently, making it suitable for enterprises with extensive data needs.
  • Centralized Monitoring and Control
    Offers centralized monitoring and control features that provide a single interface to manage and oversee all data replication activities.
  • High Consistency and Reliability
    Ensures high consistency and reliability in data replication with built-in mechanisms to handle potential conflicts and ensure data integrity.

Possible disadvantages of HVR

  • Complex Setup
    Initial setup and configuration can be complex, requiring specialized knowledge and potentially prolonged implementation times.
  • Cost
    Can be expensive especially for smaller organizations or those with limited budgets, potentially making it less accessible to all businesses.
  • Resource Intensive
    May require significant system resources, impacting performance on less powerful hardware or in resource-constrained environments.
  • Learning Curve
    Comes with a steep learning curve, necessitating comprehensive training for IT staff to utilize the software effectively.
  • Dependency on Network Stability
    Highly dependent on network stability; network issues can cause delays or disruptions in data replication.
  • Vendor Lock-In
    Potential for vendor lock-in, making future migrations or integration with other systems challenging and costly.

StreamSets Data Collector features and specs

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Data Pipeline Preview with StreamSets Data Collector

Category Popularity

0-100% (relative to HVR and StreamSets Data Collector)
Data Integration
100 100%
0% 0
Data Management
0 0%
100% 100
Web Service Automation
100 100%
0% 0
Big Data
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare HVR and StreamSets Data Collector

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...

StreamSets Data Collector Reviews

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What are some alternatives?

When comparing HVR and StreamSets Data Collector, you can also consider the following products

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

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

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

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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

Spark Streaming - Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.