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Improvado.io VS Apache Flink

Compare Improvado.io VS Apache Flink and see what are their differences

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Improvado.io logo Improvado.io

Improvado is an ETL platform that extracts data from 300+ pre-built connectors, transforms it, and seamlessly loads the results to wherever you need them. No more Tedious Manual Work, Errors or Discrepancies. Contact us for a demo.

Apache Flink logo Apache Flink

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.
  • Improvado.io Landing page
    Landing page //
    2023-08-31

Consolidate all your marketing data in one place to get better business insights. Speed up your decision-making process and quickly implement optimizations without wasting time crunching the data. Real-time reports & dashboards eliminate manual reporting time by 90%. That’s what’ve done before for Ancestry, Asus, AdRoll and we can do it for you. Collaborate effectively with your team, other departments, and stakeholders. No more Tedious Manual Work, Errors or Discrepancies. Book a demo now at improvado.io

  • Apache Flink Landing page
    Landing page //
    2023-10-03

Improvado.io

Website
improvado.io
Pricing URL
Official Improvado.io Pricing
$ Details
paid
Platforms
Web Cloud REST API Browser
Release Date
2015 April
Edit details

Apache Flink

Website
flink.apache.org
Pricing URL
-
$ Details
Platforms
-
Release Date
-
Edit details

Improvado.io features and specs

  • Data Extraction and Loading
    Integrate and manage data from 300+ sources
  • Data Transformation
    Make your marketing data analysis-ready
  • Marketing Common Data Model
    Automate cross-channel normalization
  • Professional Services
  • Managed Services
    Managed Data Warehouse
  • Data Synchronization
  • Managed API
    Managed data sources API
  • Data Pipeline Orchestration
  • Customizable
  • Customer Support
    24/7
  • Visualizations
  • Extraction templates

Apache Flink features and specs

  • Real-time Stream Processing
    Apache Flink is designed for real-time data streaming, offering low-latency processing capabilities that are essential for applications requiring immediate data insights.
  • Event Time Processing
    Flink supports event time processing, which allows it to handle out-of-order events effectively and provide accurate results based on the time events actually occurred rather than when they were processed.
  • State Management
    Flink provides robust state management features, making it easier to maintain and query state across distributed nodes, which is crucial for managing long-running applications.
  • Fault Tolerance
    The framework includes built-in mechanisms for fault tolerance, such as consistent checkpoints and savepoints, ensuring high reliability and data consistency even in the case of failures.
  • Scalability
    Apache Flink is highly scalable, capable of handling both batch and stream processing workloads across a distributed cluster, making it suitable for large-scale data processing tasks.
  • Rich Ecosystem
    Flink has a rich set of APIs and integrations with other big data tools, such as Apache Kafka, Apache Hadoop, and Apache Cassandra, enhancing its versatility and ease of integration into existing data pipelines.

Possible disadvantages of Apache Flink

  • Complexity
    Flink’s advanced features and capabilities come with a steep learning curve, making it more challenging to set up and use compared to simpler stream processing frameworks.
  • Resource Intensive
    The framework can be resource-intensive, requiring substantial memory and CPU resources for optimal performance, which might be a concern for smaller setups or cost-sensitive environments.
  • Community Support
    While growing, the community around Apache Flink is not as large or mature as some other big data frameworks like Apache Spark, potentially limiting the availability of community-contributed resources and support.
  • Ecosystem Maturity
    Despite its integrations, the Flink ecosystem is still maturing, and certain tools and plugins may not be as developed or stable as those available for more established frameworks.
  • Operational Overhead
    Running and maintaining a Flink cluster can involve significant operational overhead, including monitoring, scaling, and troubleshooting, which might require a dedicated team or additional expertise.

Improvado.io videos

+ Add

How to Leverage Data to Drive Massive Revenue - Sponsored by Improvado.io

More videos:

  • Demo - Improvado Demo - ETL for Marketers
  • Demo - Improvado Demo

Apache Flink videos

+ Add

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • Tutorial - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • Tutorial - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Category Popularity

0-100% (relative to Improvado.io and Apache Flink)

Improvado.io

Apache Flink

Marketing
100 100%
Marketing
0% 0
Big Data
0 0%
Big Data
100% 100
Data Integration
100 100%
Data Integration
0% 0
Stream Processing
0 0%
Stream Processing
100% 100

User comments

Share your experience with using Improvado.io and Apache Flink. 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 Improvado.io and Apache Flink

Improvado.io Reviews

Funnel.io Alternatives and Competitors in 2022
The Improvado platform is specifically focused on the marketing dilemma and will connect to any marketing platform you need. The integrations run deep, pulling in granular data from the keyword and ad level, to allow you to see the complete picture. It’s a great tool for marketing analysts, performance marketers, and managers of all levels, who use marketing data on a daily...
Source: improvado.io
15 Best ETL Tools in 2022 (A Complete Updated List)
Improvado is a data analytics software for marketers to help them keep all their data in one place. This marketing ETL platform will allow you to connect marketing API to any visualization tool and for that no need to have technical skills.
Source: www.softwaretestinghelp.com
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Improvado has a strong 4.5/5 on G2 with people not complaining much about anything. In cons, the high pricing was mentioned but considered reasonable with the level of support Improvado gives.
Source: windsor.ai
Domo vs Datorama vs Improvado vs Funnel.io vs Supermetrics
The biggest benefit I see for improvado.io is that their customer service reps are included in every package and are highly attentive. They'll help you build out custom dashboards and integrations to ensure that you're visualizing your data in exactly the way you need it.
Source: improvado.io

Apache Flink Reviews

We have no reviews of Apache Flink yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Flink seems to be more popular. It has been mentiond 41 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.

Improvado.io mentions (0)

We have not tracked any mentions of Improvado.io yet. Tracking of Improvado.io recommendations started around Mar 2021.

Apache Flink mentions (41)

  • What is Apache Flink? Exploring Its Open Source Business Model, Funding, and Community
    Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 14 days ago
  • Is RisingWave the Next Apache Flink?
    Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / 27 days ago
  • Every Database Will Support Iceberg — Here's Why
    Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / about 1 month ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 1 month ago
  • Twitter's 600-Tweet Daily Limit Crisis: Soaring GCP Costs and the Open Source Fix Elon Musk Ignored
    Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 1 month ago
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What are some alternatives?

When comparing Improvado.io and Apache Flink, you can also consider the following products

tray.io - Enterprise-scale integration platform

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Integrator.io iPaaS by Celigo - Next-Generation iPaaS integration platform

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Funnel.io - Marketing analytics software for e-commerce companies and online marketers that automatically...

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

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