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HVR VS Amazon Kinesis

Compare HVR VS Amazon Kinesis 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.

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
  • HVR Landing page
    Landing page //
    2023-09-01
  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

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
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Amazon Kinesis

Categories
  • Stream Processing
  • Data Management
  • Analytics
  • Big Data
  • Big Data Analytics
  • Video Streaming
Website aws.amazon.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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Amazon Kinesis videos

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AWS Big Data - Amazon Kinesis Analytics Introduction and Demonstration

More videos:

  • Review - Analyzing Data Streams in Real Time with Amazon Kinesis: PNNL's Serverless Data Lake Ingestion

Category Popularity

0-100% (relative to HVR and Amazon Kinesis)

HVR

Amazon Kinesis

Development
100 100%
Development
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Backup & Sync
100 100%
Backup & Sync
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 Amazon Kinesis

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

Amazon Kinesis Reviews

Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Amazon Kinesis was built to handle massive amounts of data, allowing it to be uploaded to a Redshift cluster. After the event stream is read and the data is transformed, it is placed into a table in Amazon SCTS in an Amazon ES domain. Thus, there is no need to use a server (instead, you need to integrate AWS ETL and AWS Lambda).
Source: visual-flow.com
6 Best Kafka Alternatives: 2022’s Must-know List
Kinesis enables streaming applications to be managed without additional infrastructure management. This highly scalable platform can process data from various sources with low latency. Known for its speed, ease of use, reliability, and capability of cross-platform replication, Amazon Kinesis is one of the most popular Kafka Alternatives. It is used for many purposes,...
Source: hevodata.com
Top 15 Kafka Alternatives Popular In 2021
Amazon Kinesis, also known as Kinesis Streams, is a popular alternative to Kafka, for collecting, processing, and analyzing video and data streams in real-time. It offers timely and insightful information, streaming data in a cost-effective manner with complete flexibility and scalability. It is easy to ingest data encompassing audios, videos, app logs, etc. It offers an...
Source: www.spec-india.com
16 Top Big Data Analytics Tools You Should Know About
Amazon Kinesis is a massively scalable, cloud-based analytics service which is designed for real-time applications.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Amazon Kinesis seems to be more popular. It has been mentiond 22 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.

Amazon Kinesis mentions (22)

  • AWS DEV OPS Professional Exam short notes
    When you see Amazon Kinesis as an option, this becomes the ideal option to process data in real time. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit... - Source: dev.to / about 1 month ago
  • Querying microservices in real-time with materialized views
    RisingWave is an open-source streaming database that has built-in fully-managed CDC source connectors for various databases, also it can collect data from other sources such Kafka, Pulsar, Kinesis, or Redpanda and it allows you to query real-time streams using SQL. You can get a materialized view that is always up-to-date. - Source: dev.to / 12 months ago
  • How Streaming database differs from a Traditional database?
    For example, RisingWave is one of the fastest-growing open-source streaming databases that can ingest data from Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections or using Debezium connectors to MySQL and PostgreSQL sources. Previously, I wrote a blog post about how to choose the right streaming database that discusses some key factors that you should... - Source: dev.to / about 1 year ago
  • Query Real Time Data in Kafka Using SQL
    RisingWave is an open-source distributed SQL database for stream processing. RisingWave accepts data from sources like Apache Kafka, Apache Pulsar, Amazon Kinesis, Redpanda, and databases via native Change data capture connections to MySQL and PostgreSQL sources. It uses the concept of materialized view that involves caching the outcome of your query operations and it is quite efficient for long-running stream... - Source: dev.to / about 1 year ago
  • How to choose the right streaming database
    You can ingest data from different data sources such as message brokers Kafka, Redpanda, Kinesis, Pulsar, or databases MySQL or PostgreSQL using their Change Data Capture (CDC) which is the process of identifying and capturing data changes. - Source: dev.to / about 1 year ago
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What are some alternatives?

When comparing HVR and Amazon Kinesis, you can also consider the following products

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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

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

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

Apache Kafka - Apache Kafka is an open-source message broker project developed by the Apache Software Foundation written in Scala.

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