Software Alternatives & Reviews

Datavault Builder VS Amazon Kinesis

Compare Datavault Builder VS Amazon Kinesis and see what are their differences

Datavault Builder logo Datavault Builder

4th generation automation tool covering all aspects and phases of a DWH. Design & Development

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
  • Datavault Builder Landing page
    Landing page //
    2023-09-30
  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

Datavault Builder videos

Datavault Builder - Automating a complete Data Vault Warehouse in 25 Minutes

More videos:

  • Review - Automated Cloud DWH with Snowflake and Datavault Builder data driven decisions
  • Review - become truly agile: DataOps with the Datavault Builder. learn how!

Amazon Kinesis videos

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 Datavault Builder and Amazon Kinesis)
Web Service Automation
100 100%
0% 0
Stream Processing
0 0%
100% 100
Data Integration
32 32%
68% 68
Data Management
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 Datavault Builder and Amazon Kinesis

Datavault Builder Reviews

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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...
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.

Social recommendations and mentions

Based on our record, Amazon Kinesis seems to be a lot more popular than Datavault Builder. While we know about 22 links to Amazon Kinesis, we've tracked only 1 mention of Datavault Builder. 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.

Datavault Builder mentions (1)

  • Data Vault 2.0 Tools
    A quick google dearch showed that there seem to be different options like wherescape, erwin, Data Vault Builder or Vaultspeed. Source: about 2 years ago

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 Datavault Builder and Amazon Kinesis, you can also consider the following products

Kettle Pentaho - Pentaho Data Integration ( ETL ) a.k.a Kettle

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

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

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

Timextender - Make quality business decisions with data, mind and heart

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