CONNX Data Virtualization vs Fivetran comparison

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4,412 views|2,978 comparisons
86% willing to recommend
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Executive Summary

We performed a comparison between CONNX Data Virtualization and Fivetran based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration.
To learn more, read our detailed Data Integration Report (Updated: April 2024).
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Quotes From Members
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Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "I don't have the exact information, but I know it is high, and it is on a yearly basis. There is no additional cost for what we're doing. We're always open to doing things cheaper, so we might potentially implement a different solution."
  • "I've heard that the license for HVR is a bit costly compared to its competitors, but since it's reliable and efficient, I think the customer shouldn't be bothered about the cost."
  • "Fivetran is very expensive, and its database-driven pricing model is outdated."
  • "I can't give exact amounts because that's based on usage, but it's more expensive than some of its competitors."
  • "In the first year, we were given a very good discount. It was approximately 20,000 Euros per year. In the third year, we purchased credit for two years and the price was 33,000 Euros per year."
  • "I would say they're a little bit on the expensive side, and their contract process is not particularly good, but there is a lot of potential flexibility."
  • "The pricing model is okay and mid to large companies will not have an issue with it."
  • "The licensing costs are extremely high for the usage of somebody who has one GB or two GB of usage per day for real-time traffic. There are many other players in the market which are similarly priced or competitively priced. On average per month, it used to come around 12,000-15,000 USD, which is very high."
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    Top Answer:As a user of HVR Software I followed this deal closely. Fivetran is apparently trying to establish more in its sector and by buying an already established data replication software, they become some… more »
    Top Answer: I honestly can't think of another data replication software that can give you better statistics and insight than HVR Software. There's the feature for topology and statistics and both of them can… more »
    Top Answer:As someone who works at a company where a high volume of information is replicated and has tried several data replication softwares, I can tell you that you're looking at the right one. HVR Software… more »
    Ranking
    71st
    out of 100 in Data Integration
    Views
    192
    Comparisons
    169
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    13th
    out of 100 in Data Integration
    Views
    4,412
    Comparisons
    2,978
    Reviews
    15
    Average Words per Review
    603
    Rating
    8.0
    Comparisons
    Learn More
    Overview

    CONNX data virtualization solutions unite data from any source – legacy, relational and non-relational – and lend the appearance of centralization without all the inherent risks. The new federated data source protects the integrity and upholds the security of all the contributing data sources while delivering all the benefits of a unified database. It also enables optimal flexibility and control for choosing the best analytics tools for your needs, keeping costs in line with budget and user expectations.

    Your CONNX-enabled unified database is fast, receiving and sharing incremental data changes with no impact on underlying systems or data stores. You can share more data with more people, empowering better decision making throughout the organization without tampering with underlying database configurations or compromising best-of-breed application requirements. It’s hero time.

    Fivetran is a data integration and migration solution that centralizes data from various sources into a data warehouse (such as Snowflake or BigQuery) for analytics. Its most valuable features include replication and managed pipelines, integration with DBT for data transformation, and many source connections. 

    Fivetran is easy to use, with fast data migration and an intuitive portal for easy setup and troubleshooting. It has helped organizations integrate and manage data, saving time and resources.

    Sample Customers
    Information Not Available
    DocuSign, Oldcastle Infrastructure, Crossmedia, Talkdesk, Chubbies, Brandwatch
    Top Industries
    No Data Available
    REVIEWERS
    Manufacturing Company42%
    Outsourcing Company17%
    Transportation Company8%
    Financial Services Firm8%
    VISITORS READING REVIEWS
    Educational Organization24%
    Computer Software Company12%
    Financial Services Firm11%
    Manufacturing Company9%
    Company Size
    No Data Available
    REVIEWERS
    Small Business13%
    Midsize Enterprise26%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise30%
    Large Enterprise57%
    Buyer's Guide
    Data Integration
    April 2024
    Find out what your peers are saying about Microsoft, Informatica, Oracle and others in Data Integration. Updated: April 2024.
    768,415 professionals have used our research since 2012.

    CONNX Data Virtualization is ranked 71st in Data Integration while Fivetran is ranked 13th in Data Integration with 19 reviews. CONNX Data Virtualization is rated 0.0, while Fivetran is rated 8.0. On the other hand, the top reviewer of Fivetran writes "Solution reduces time-to-value; high ROI". CONNX Data Virtualization is most compared with , whereas Fivetran is most compared with AWS Database Migration Service, Qlik Replicate, Azure Data Factory, Oracle GoldenGate and Informatica Cloud Data Integration.

    See our list of best Data Integration vendors.

    We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.