Software Alternatives, Accelerators & Startups

Estuary Flow VS Amazon Kinesis

Compare Estuary Flow VS Amazon Kinesis and see what are their differences

Estuary Flow logo Estuary Flow

Your data, where you want it, in milliseconds

Amazon Kinesis logo Amazon Kinesis

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
  • Estuary Flow Landing page
    Landing page //
    2023-04-24

Build real-time ETL/ELT and CDC data pipelines from SaaS API, RDBMS, HTTP, and webhook to the cloud data warehouse within a no-code UI.

  • Amazon Kinesis Landing page
    Landing page //
    2022-01-28

Estuary Flow

$ Details
free
Release Date
2022 September
Startup details
Country
United States
State
New York
City
New York
Founder(s)
David Yaffe, Johnny Graettinger
Employees
20 - 49

Estuary Flow videos

Estuary Flow Overview

More videos:

  • Tutorial - How to Set Up a MongoDB Data Capture on Estuary Flow

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 Estuary Flow and Amazon Kinesis)
Web Service Automation
100 100%
0% 0
Stream Processing
0 0%
100% 100
Data Integration
29 29%
71% 71
Data Management
0 0%
100% 100

User comments

Share your experience with using Estuary Flow and Amazon Kinesis. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Estuary Flow and Amazon Kinesis

Estuary Flow Reviews

15+ Best Cloud ETL Tools
If you're looking to streamline your data workflows and unlock the full potential of your data, we encourage you to explore Estuary Flow further. You can try Estuary Flow for free or contact our team to discuss your specific needs and discover how Estuary Flow can transform your data integration process.
Source: estuary.dev
Airbyte vs Fivetran vs Estuary
Of course we’re a bit biased, but in our review today, we’ve found Estuary Flow to be the overall winner. It’s capable of all your data integration requirements, with all the benefits of real-time data. And being the most cost-effective option out of the three, the platform is the obvious choice for any business looking for a reliable ELT platform.
Source: estuary.dev

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 should be more popular than Estuary Flow. It has been mentiond 23 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.

Estuary Flow mentions (14)

  • Ask HN: Freelancer? Seeking freelancer? (April 2024)
    SEEKING FREELANCER | Python Developer | Remote (Within 3 hours of EST) Estuary is a dynamic company focused on developing cutting-edge real-time data integration solutions. Our platform is powered by an open-source repository of pre-built data connectors, making data exchange between systems seamless. https://estuary.dev/ We are seeking a passionate and talented Software Engineer to help expand our catalog of data... - Source: Hacker News / 2 months ago
  • How do Streaming Aggregation Pipelines work?
    I work at Estuary, which is itself a streaming data pipeline. We actually use that approach to power all of the data processing statistics we show in our UI. Lately we've been processing ~200-300 transactions per second (each transaction produces a stats event), and the stats queries in the dashboard are quite snappy. We actually pre-aggregate by minute, hour, and day in order to serve queries of larger time... Source: 6 months ago
  • All the ways to capture changes in Postgres
    Estuary (https://estuary.dev ; I'm CTO) gives you a real time data lake'd change log of all the changes happening in your database in your cloud storage -- complete with log sequence number, database time, and even before/after states if you use REPLICA IDENTITY FULL -- with no extra setup in your production DB. By default, if you then go on to materialize your collections somewhere else (like Snowflake), you get... - Source: Hacker News / 9 months ago
  • sharing kafka streams externally
    Disclaimer: I work for a streaming ETL startup (estuary.dev) with a connector for Kafka and ability to share data. I'm wondering if Confluent's currently functionality is missing features by not more easily enabling to push shared streams into the consumer.... Or just generally other things that are on the 'wish list' of those sharing / receiving topics. Source: 9 months ago
  • Launch HN: Artie (YC S23) – Real time data replication to data warehouses
    Hi, I'm Estuary's CTO (https://estuary.dev). Mind speaking a bit more about what didn't work? We put quite a bit of effort into our CDC connectors, as it's a core competency. We have numerous customers using them at scale successfully, but they can be a bit nuanced to get configured. We're constantly trying to make our onboarding experience more intuitive and seamless... it's a hard problem. - Source: Hacker News / 11 months ago
View more

Amazon Kinesis mentions (23)

  • Event-Driven Architecture on AWS
    Event Consumers: Services that actively listen for events and respond accordingly. These consumers can be easily implemented using microservices, AWS Lambda or Amazon Kinesis (for ingesting, processing, and analyzing streaming data in real-time). - Source: dev.to / about 1 month ago
  • 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 / 3 months 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 / about 1 year 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
View more

What are some alternatives?

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

Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.

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

Hevo Data - Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. Get near real-time data pipelines for reporting and analytics up and running in just a few minutes. Try Hevo for Free today!

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

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

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