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Apache Hive VS Funnel.io

Compare Apache Hive VS Funnel.io and see what are their differences

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Apache Hive logo Apache Hive

Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

Funnel.io logo Funnel.io

Marketing analytics software for e-commerce companies and online marketers that automatically...
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • Funnel.io Landing page
    Landing page //
    2023-09-17

Apache Hive

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

Funnel.io

Website
funnel.io
Pricing URL
Official Funnel.io Pricing
$ Details
-
Release Date
2013 January
Startup details
Country
Sweden
State
Stockholms Lan
City
Stockholm
Founder(s)
Fredrik Skantze
Employees
50 - 99
Edit details

Apache Hive features and specs

  • Scalability
    Apache Hive is built on top of Hadoop, allowing it to efficiently handle large datasets by distributing the load across a cluster of machines.
  • SQL-like Interface
    Hive provides a familiar SQL-like querying language, HiveQL, which makes it easier for users with SQL knowledge to perform data analysis on large datasets without needing to learn a new syntax.
  • Integration with Hadoop Ecosystem
    Hive integrates seamlessly with other components of the Hadoop ecosystem such as HDFS for storage and MapReduce for processing, making it a versatile tool for big data processing.
  • Schema on Read
    Hive uses a schema-on-read model which allows it to work with flexible data schemas and handle unstructured or semi-structured data efficiently.
  • Extensibility
    Users can extend Hive's capabilities by writing custom UDFs (User Defined Functions), UDAFs (User Defined Aggregate Functions), and SerDes (Serializers/ Deserializers).

Possible disadvantages of Apache Hive

  • Latency in Query Processing
    Queries in Hive often take longer to execute compared to traditional databases, as they are converted to MapReduce jobs which can introduce significant latency.
  • Limited Real-time Processing
    Hive is designed for batch processing and is not suitable for real-time analytics due to its reliance on MapReduce, which is not optimized for low-latency operations.
  • Complex Configuration
    Setting up Hive and configuring it to work optimally within a Hadoop cluster can be complex and require a significant amount of effort and expertise.
  • Lack of Support for Transactions
    Hive does not natively support full ACID transactions, which can be a limitation for applications that require consistent transaction management across large datasets.
  • Dependency on Hadoop
    Hive's reliance on the Hadoop ecosystem means it inherits some of Hadoop's limitations, such as a steep learning curve and the need for substantial resources to manage a cluster.

Funnel.io features and specs

  • Comprehensive Data Integration
    Funnel.io supports a large number of data sources, making it easy to collect, integrate, and manage marketing data from disparate platforms in one unified dashboard.
  • User-Friendly Interface
    The platform provides an intuitive, easy-to-navigate interface that simplifies data management and allows users to create custom reports and dashboards without advanced technical skills.
  • Automation Capabilities
    Funnel.io offers robust automation features that can handle repetitive tasks, such as data importing, transformation, and loading, thereby saving time and reducing the potential for human error.
  • Scalability
    The platform is scalable, making it suitable for businesses of various sizes, from small startups to large enterprises. It can handle extensive datasets and complex reporting needs effectively.
  • Customizable Dashboards
    Users can create highly customizable dashboards that present data in a visually appealing and comprehensible manner, which aids in better decision-making.

Possible disadvantages of Funnel.io

  • Cost
    Funnel.io can be relatively expensive compared to other marketing data integration tools, which might not be suitable for small businesses or startups with limited budgets.
  • Learning Curve
    While the interface is user-friendly, there can still be a learning curve for new users to fully leverage all the features and capabilities that Funnel.io offers.
  • Limited Offline Capabilities
    Funnel.io is a cloud-based solution, which means it requires a stable internet connection for data access and manipulation. This can be a limitation in areas with unreliable internet connectivity.
  • Customer Support
    Some users have reported that customer support response times can be slow and that the quality of support may vary, which can be frustrating when dealing with urgent issues.
  • Third-Party Integration Limitations
    Despite supporting a wide range of data sources, some users might find that certain niche or less common platforms aren't supported, requiring additional manual data handling.

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Funnel.io videos

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Funnel.io - Advertising Reports & Dashboards

Category Popularity

0-100% (relative to Apache Hive and Funnel.io)

Apache Hive

Funnel.io

Databases
100 100%
Databases
0% 0
Marketing Analytics
0 0%
Marketing Analytics
100% 100
Big Data
100 100%
Big Data
0% 0
Marketing
0 0%
Marketing
100% 100

User comments

Share your experience with using Apache Hive and Funnel.io. 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 Apache Hive and Funnel.io

Apache Hive Reviews

We have no reviews of Apache Hive yet.
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Funnel.io Reviews

Funnel.io Alternatives and Competitors in 2022
Funnel.io is great for small business owners and early-stage companies because it can be used on a month-to-month basis. Users are charged based on ad spend. While this is great in the beginning, as the company grows, the cost to use Funnel.io grows as well. It can also be used for enterprises.
Source: improvado.io
Top 5 Supermetrics Alternatives – Competitors, Cost, Features & Pricing Model
Funnel.io has a solid 4.5 rating based on 74 reviews on G2. Of course, there are a few complaints about the pricing, but in general, people are satisfied with Funnel.io.
Source: windsor.ai
Funnel.io — Data integration platform with 500+ data sources
Funnel.io provides a data integration platform with 500+ data sources. It allows you to load data from any marketing platform, normalise it (aka harmonise it) and visualise data in your favourite BI tool (Power BI, Data Studio, Tableau, …).
Source: www.windsor.ai
Top 5 Adverity Alternatives To Know About in 2020
The transformation section means that Funnel.io cleans up (e.g. date transformations), maps, and groups your data stream before loading it into a BI tool or database.
Source: www.windsor.ai
Funnel.io vs. Windsor.ai
Funnel.io – a tool with probably the biggest list of integrations and relatively high pricing. Most people like the software and don’t complain about it too much. But like any other tool, it’s not perfect for everyone and has its own downsides.
Source: www.windsor.ai

Social recommendations and mentions

Funnel.io might be a bit more popular than Apache Hive. We know about 10 links to it since March 2021 and only 8 links to Apache Hive. 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.

Apache Hive mentions (8)

View more

Funnel.io mentions (10)

  • Connecting Instagram API
    There are like a 100 services that will do that for you. Something like this. Source: over 2 years ago
  • Looking For Single Connector Solutions For Digital Marketing
    Any digital marketers have experience working with single connectors for Google Data Studio? I really like the idea of plugging all the data sources into the ETL platform and having one connector for GDS. It appears funnel.io does this but it's far too expensive for us. Windsor.ai also looks ok but their pricing structure isn't ideal. Played around with Adverity as well but looking for something that's more plug... Source: over 2 years ago
  • Blends limitation
    From experience writing & maintaining custom ETLs in BigQuery, to paying/trying multiple data pipeline partners, to a sort-of middle ground like AirByte - this is not a plug - funnel.io has been the easiest and most cost effective by far. Source: about 3 years ago
  • Facebook ads resultat fake?
    You have to be careful with fb figures. Its well known in the industry that they arent accurate. With regards to funnel.io, if they are picking figures from FB then its also suspect. Source: over 3 years ago
  • Facebook ads resultat fake?
    The other platform (funnel.io) may use a different attribution window and/or it might not track across different devices (not sure here, never used funnel.io before). Source: over 3 years ago
View more

What are some alternatives?

When comparing Apache Hive and Funnel.io, you can also consider the following products

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

Supermetrics - Supermetrics simplifies marketing analytics by connecting, consolidating, and centralizing data from 150+ platforms into your favorite tools. Trusted by 200K+ organizations, we empower marketers to focus on insights, not manual work.

Apache Doris - Apache Doris is an open-source real-time data warehouse for big data analytics.

DataTap - Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.

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

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.

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