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Apache Hive VS Fivetran

Compare Apache Hive VS Fivetran and see what are their differences

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Contents:
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  3. » Reviews
  4. » Alternatives

Apache Hive logo Apache Hive

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

Fivetran logo Fivetran

Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
  • Apache Hive Landing page
    Landing page //
    2023-01-13
  • Fivetran Landing page
    Landing page //
    2023-09-19

Apache Hive

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

Fivetran

Website
fivetran.com
Pricing URL
Official Fivetran Pricing
$ Details
-
Release Date
2012 January
Startup details
Country
United States
State
California
City
Oakland
Founder(s)
George Fraser
Employees
250 - 499
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.

Fivetran features and specs

  • Automation
    Fivetran automates data integration, eliminating the need for manual coding and reducing maintenance overhead.
  • Scalability
    Fivetran can easily scale its services to handle growing data loads, making it suitable for businesses of various sizes.
  • Wide Range of Connectors
    It supports a broad array of data sources and destinations, allowing for diverse data pipelines.
  • Data Transformation
    Fivetran provides built-in data transformation capabilities, ensuring that data is in the correct format when it reaches the destination.
  • Real-Time Data Syncing
    Fivetran allows for near real-time data syncing, which is crucial for businesses that rely on up-to-date data for decision-making.
  • Reliability
    The service ensures data integrity and reliability, minimizing data loss during transfers.

Possible disadvantages of Fivetran

  • Cost
    Fivetran can be expensive, especially for small businesses or startups with limited budgets.
  • Limited Customization
    The platform offers limited options for customization, which might be a drawback for businesses with unique data integration needs.
  • Complex Setup for Non-Technical Users
    Despite its automation features, the initial setup can be complex for users without technical expertise.
  • Dependency on Third-Party Services
    Reliance on Fivetran means depending on a third party for crucial data integration tasks, which could be risky if the service faces downtime.
  • Data Latency for Some Sources
    While Fivetran supports near real-time syncing for many sources, some data sources might experience latency, affecting the freshness of the data.

Analysis of Fivetran

Overall verdict

  • Fivetran is generally regarded as a good solution for businesses looking for an automated, reliable, and easy-to-use data integration tool. It is particularly beneficial for companies that wish to reduce time and effort spent on managing data pipelines and ensuring accurate data transfer.

Why this product is good

  • Fivetran is considered good due to its ability to automate data integration processes, providing a seamless and efficient way to connect various data sources to your data warehouse. It offers pre-built connectors, automated schema management, and reliable data syncing, which reduces the need for manual coding and maintenance. Its robust security measures and scalability also contribute to its positive reputation.

Recommended for

    Fivetran is recommended for small to large businesses that require efficient data integration from multiple sources into their data warehouse. It is ideal for organizations looking for a fully managed service to simplify their ETL/ELT processes, especially those using cloud-based data warehousing solutions such as Snowflake, BigQuery, or Redshift.

Apache Hive videos

+ Add

Hive vs Impala - Comparing Apache Hive vs Apache Impala

Fivetran videos

+ Add

Cloud Data Warehouse Benchmark Redshift vs Snowflake vs BigQuery | Fivetran

More videos:

  • Review - Looker + Fivetran: Data Source to Dashboard in an Afternoon
  • Review - The Modern Data Stack: Fivetran + Looker + Snowflake

Category Popularity

0-100% (relative to Apache Hive and Fivetran)

Apache Hive

Fivetran

Databases
100 100%
Databases
0% 0
Data Integration
0 0%
Data Integration
100% 100
Big Data
100 100%
Big Data
0% 0
ETL
0 0%
ETL
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 Apache Hive and Fivetran

Apache Hive Reviews

We have no reviews of Apache Hive yet.
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Fivetran Reviews

Best ETL Tools: A Curated List
High costs: Fivetran’s pricing model, based on Monthly Active Rows (MAR), is one of the most expensive modern ELT vendors, often 5-10x the alternatives. Fivetran measures MARs based on its internal representation of data. Costs are especially high with connectors that need to download all source data each time or that have nonrelational data because Fivetran converts it into...
Source: estuary.dev
Top 11 Fivetran Alternatives for 2024
Fivetran's pricing is determined by monthly active rows (MAR), which can be unpredictable because of the way Fivetran internally represents data and manages non-relational sources. Additionally, reducing latency significantly increases costs. While a small deployment (2M MARs/month) can cost $700-$2667, 10M MARs/month get you into $10K a month. It is not unheard of for...
Source: estuary.dev
10 Best ETL Tools (October 2023)
It is a cloud-based ETL solution that supports data integration with data warehouses like Redshift, BigQuery, Azure, and Snowflake. One of the top selling points of Fivetran is its array of data sources, with nearly 90 possible SaaS sources and the ability to add custom integrations.
Source: www.unite.ai
15+ Best Cloud ETL Tools
Fivetran is a cloud-based automated ETL tool that simplifies the process of transporting data from various sources to a database or data warehouse. It offers an array of more than 200 connectors to help you to collect data seamlessly from multiple sources at the same time.
Source: estuary.dev
Top 14 ETL Tools for 2023
Overall, Fivetran is a great ETL solution for businesses looking to streamline their data integration process. The platform makes it easy for organizations of any size to move and transform data from multiple sources into an analytics-ready form quickly and cost-effectively. While there have been some issues reported with Fivetran’s customer service and pricing model, the...
Source: www.integrate.io

Social recommendations and mentions

Based on our record, Fivetran should be more popular than Apache Hive. It has been mentiond 12 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.

Apache Hive mentions (8)

View more

Fivetran mentions (12)

  • Sync Snowflake and Google Sheets
    Even looking past these limitations, internal scripts invariably require development and maintenance time, and as any developer knows, can break at the worst of times :) Method #2: Use Zapier? (https://zapier.com) Want to use Zapier to do this? You can’t. Not only because it doesn’t track deletes, updates to existing records, and only does one way syncs. But because Snowflake isn’t supported. Method #3:... - Source: Hacker News / about 2 years ago
  • Big problem with companies now is they hire data scientist for task that don't require data science practices.
    Disclaimer: I work for Fivetran, a data integration company. Source: over 2 years ago
  • I love data science but hate data engineering
    Disclaimer: I'm a product evangelist for a data integration company called Fivetran, so I'm shamelessly shilling here. Source: almost 3 years ago
  • Which webflow theme is this?
    I really like the theme they’re using on https://fivetran.com. Source: almost 3 years ago
  • A modern data stack for startups
    From experience then, believe me when I say you don't want to build these. Thankfully, ETL products like Fivetran and Stitch run and maintain these extraction processes for you. - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing Apache Hive and Fivetran, you can also consider the following products

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

Stitch - Consolidate your customer and product data in minutes

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

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

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

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!

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