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CONNX Data Virtualization vs Tamr comparison

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StreamSets

Read 5 StreamSets reviews
5,196 views|3,630 comparisons
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CONNX Data Virtualization

227 views|201 comparisons
Tamr Logo

Tamr

846 views|717 comparisons
Featured Review
Karthik Rajamani
Integrates with different enterprise systems and enables us to easily build data pipelines without knowing how to code
It is very easy to use when connecting to enterprise data stores such as OLTP databases or messaging systems such as Kafka. I have had integration... Read more →
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Data Integration Tools
July 2022
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Pricing and Cost Advice
  • "We are running the community version right now, which can be used free of charge."
  • "StreamSets Data Collector is open source. One can utilize the StreamSets Data Collector, but the Control Hub is the main repository where all the jobs are present. Everything happens in Control Hub."
  • "It has a CPU core-based licensing, which works for us and is quite good."
  • "There are different versions of the product. One is the corporate license version, and the other one is the open-source or free version. I have been using the corporate license version, but they have recently launched a new open-source version so that anybody can create an account and use it. The licensing cost varies from customer to customer. I don't have a lot of input on that. It is taken care of by PMO, and they seem fine with its pricing model. It is being used enterprise-wide. They seem to have got a good deal for StreamSets."

    • More StreamSets Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about StreamSets?
    Top Answer:It is really easy to set up and the interface is easy to use.
    Read all 2 answers   →
    What needs improvement with StreamSets?
    Top Answer:We've seen a couple of cases where it appears to have a memory leak or a similar problem. It grows for a bit and then… more »
    Read all 2 answers   →
    What is your primary use case for StreamSets?
    Top Answer:We typically use it to transport our Oracle raw datasets up to Microsoft Azure, and then into SQL databases there.
    Read all 2 answers   →
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    Comparisons
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    StreamSets
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    Software AG
    Tamr
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    Overview

    StreamSets offers an end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps, and power the modern data ecosystem and hybrid integration.

    Only StreamSets provides a single design experience for all design patterns for 10x greater developer productivity; smart data pipelines that are resilient to change for 80% less breakages; and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

    With StreamSets, you can deliver the continuous data that drives the connected enterprise.

    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.

    Tamr enables enterprises to use 100% of available data for business intelligence and analytics by unifying and enriching their vast reserves of valuable data. Tamr's data unification platform catalogs, connects and curates hundreds or thousands of internal and external data sources through a combination of machine learning algorithms and human expert guidance - radically reducing the cost, time and effort of preparing data for analysis.

    Offer
    Learn more about StreamSets
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    Learn more about CONNX Data Virtualization
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    Learn more about Tamr
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    Sample Customers
    Availity, BT Group, Humana, Deluxe, GSK, RingCentral, IBM, Shell, SamTrans, State of Ohio, TalentFulfilled, TechBridge
    Information Not Available
    Toyota, Roche, Novartis, Thomson Reuters
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm14%
    Comms Service Provider13%
    Insurance Company8%
    No Data Available
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider11%
    Financial Services Firm8%
    Manufacturing Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise13%
    Large Enterprise72%
    No Data Available
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    Data Integration Tools
    July 2022
    Download Free Report
    Find out what your peers are saying about Informatica, Microsoft, Talend and others in Data Integration Tools. Updated: July 2022.
    DOWNLOAD NOW
    622,645 professionals have used our research since 2012.

    CONNX Data Virtualization is ranked 72nd in Data Integration Tools while Tamr is ranked 48th in Data Integration Tools. CONNX Data Virtualization is rated 0.0, while Tamr is rated 0.0. On the other hand, CONNX Data Virtualization is most compared with Palantir Foundry, OpenText Contivo and OpenText Alloy, whereas Tamr is most compared with Palantir Foundry, Collibra Catalog, SAP Data Services, Informatica Data Integration Hub and Informatica PowerCenter.

    See our list of best Data Integration Tools vendors.

    We monitor all Data Integration Tools 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.