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HVR VS Spark Streaming

Compare HVR VS Spark Streaming and see what are their differences

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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.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • HVR Landing page
    Landing page //
    2023-09-01
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

HVR

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
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Spark Streaming

Website
spark.apache.org
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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Spark Streaming videos

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Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to HVR and Spark Streaming)

HVR

Spark Streaming

Development
100 100%
Development
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Data Integration
100 100%
Data Integration
0% 0
Data Management
0 0%
Data Management
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 Spark Streaming

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...
Source: solutionsreview.com

Spark Streaming Reviews

We have no reviews of Spark Streaming yet.
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Social recommendations and mentions

Based on our record, Spark Streaming seems to be more popular. It has been mentiond 3 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.

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing HVR and Spark Streaming, 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.

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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

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

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