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{{Short description|American private software company}}
{{Orphan|date=April 2017}}

{{Infobox company {{Infobox company
| name = Paxata | name = Paxata
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| native_name = <!-- Company's name in home country language --> | native_name = <!-- Company's name in home country language -->
| native_name_lang = <!-- Use ISO 639-1 code, e.g. "fr" for French. If there is more than one native name, in different languages, enter those names using {{lang}}, instead. --> | native_name_lang = <!-- Use ISO 639-1 code, e.g. "fr" for French. If there is more than one native name, in different languages, enter those names using {{lang}}, instead. -->
| type = Private<ref>{{cite web|url=https://www.bloomberg.com/profiles/companies/0890282D:US-paxata|title=Paxata: Company Profile|publisher=Bloomberg L.P.|accessdate=September 28, 2014}}</ref> | type = Private<ref>{{cite web|url=https://www.bloomberg.com/profiles/companies/0890282D:US-paxata|title=Paxata: Company Profile|publisher=Bloomberg L.P.|access-date=September 28, 2014}}</ref>
| industry = Enterprise analytics software | industry = Enterprise analytics software
| foundation = January 2012 | foundation = {{start date and age|2012|01}}
| founder = | founder =
| location_city = Redwood City, CA<ref>{{cite web|url=http://www.paxata.com/contact-us|title=Contact us|publisher=Paxata|accessdate=September 28, 2014}}</ref> | location_city = Redwood City, CA<ref>{{cite web|url=http://www.paxata.com/contact-us|title=Contact us|publisher=Paxata|access-date=September 28, 2014|archive-url=https://web.archive.org/web/20141027100417/http://www.paxata.com/contact-us|archive-date=October 27, 2014|url-status=dead}}</ref>
| locations = <!-- Number of locations, stores, offices, etc. --> | locations = <!-- Number of locations, stores, offices, etc. -->
| area_served = Worldwide | area_served = Worldwide
| key_people = {{unbulleted list|Prakash Nanduri (Co-Founder & CEO)<ref name="primaryhdah"/>|Dave Brewster (Co-Founder & CTO)<ref name="primaryhdah"/>|Chris Maddox (Co-Founder & VP of Business Development)<ref name="primaryhdah"/>|Nenshad Bardoliwalla (Co-Founder & Chief Product Officer)<ref name="primaryhdah">{{cite web|url=http://www.paxata.com/paxata-leadership|title=Paxata Leadership|publisher=Paxata|accessdate=September 28, 2014}}</ref>}} | key_people = {{unbulleted list|Prakash Nanduri (Co-Founder & CEO)<ref name="primaryhdah"/>|Dave Brewster (Co-Founder & CTO)<ref name="primaryhdah"/>|Chris Maddox (Co-Founder & VP of Business Development)<ref name="primaryhdah"/>|Nenshad Bardoliwalla (Co-Founder & Chief Product Officer)<ref name="primaryhdah">{{cite web|url=http://www.paxata.com/paxata-leadership|title=Paxata Leadership|publisher=Paxata|access-date=September 28, 2014|archive-url=https://web.archive.org/web/20140812154449/http://www.paxata.com/paxata-leadership|archive-date=August 12, 2014|url-status=dead}}</ref>}}
| products = The Paxata suite of self-service data preparation software | products = The Paxata suite of self-service data preparation software
| services = | services =
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'''Paxata''' is a privately owned software company headquartered in ]. It develops self-service data preparation software that gets data ready for ] software. Paxata's software is intended for ]s, as opposed to technical staff. It is used to combine data from different sources, then check it for ] issues, such as duplicates and outliers. Algorithms and ] automate certain aspects of data preparation and users work with the software through a user-interface similar to ] spreadsheets. '''Paxata''' is a privately owned software company headquartered in ]. It develops self-service data preparation software that gets data ready for ] software. Paxata's software is intended for ]s, as opposed to technical staff. It is used to combine data from different sources, then check it for ] issues, such as duplicates and outliers. Algorithms and ] automate certain aspects of data preparation and users work with the software through a user-interface similar to ] spreadsheets.


The company was founded in January 2012 and operated in ] until October 2013. It has received more than $10 million in venture funding. Analysts have praised Paxata for creating software that is user-friendly for non-technical business users, but caution that they are in a noisy marketplace. The company was founded in January 2012 and operated in ] until October 2013. It received more than $10 million in venture funding before being acquired by DataRobot.<ref>{{Cite web|url=https://www.rtinsights.com/datarobot-acquires-paxata-to-extend-ai-platform/|title=DataRobot Acquires Paxata to Extend AI Platform|last=Vizard|first=Michael|date=2019-12-19|website=RTInsights|language=en-US|access-date=2020-03-18}}</ref><ref>{{Cite web|url=https://techcrunch.com/2019/12/12/datarobot-to-acquire-data-prep-startup-paxata/|title=DataRobot is acquiring Paxata to add data prep to machine learning platform|website=TechCrunch|date=12 December 2019 |language=en-US|access-date=2020-03-18}}</ref>


== History == == History ==


Paxata was founded in January 2012.<ref name="one"/> It initially raised $2 million in venture capital.<ref name="two">{{cite news|work=Gigaom|title=With $10M from Accel, Paxata wants to make data prep a breeze|first=Derrick|last=Harris|date=October 28, 2013|accessdate=June 19, 2014|url=http://gigaom.com/2013/10/28/with-10m-from-accel-paxata-wants-to-make-data-prep-a-breeze/}}</ref> The company came out of ] in October 2013.<ref name="one"/> Simultaneously with its public release, Paxata announced an $8 million funding round led by Accel Partners.<ref name="one">{{cite news|title=Paxata grabs $8M to help data scientists skip the dirty work|url=http://venturebeat.com/2013/10/28/paxata-grabs-8m-to-help-data-scientists-skip-the-dirty-work/|work=VentureBeat|date=October 28, 2013|first=Eric |last=Blattberg|accessdate=June 19, 2014}}</ref><ref name="three">{{cite news|date=October 28, 2013|title=Paxata Debuts Data Quality Tools at Strata|first=Alex|last=Woodie|url=http://www.datanami.com/2013/10/28/paxata_debuts_data_quality_tools_at_strata/|work=Datanami|accessdate=June 19, 2014}}</ref> Adoption of the software grew quickly.<ref name="one"/><ref name="ten">{{cite news|title=Paxata: streamlining data analytics|first=Alan|last=McStravick|date=February 12, 2014|url=http://siliconangle.com/blog/2014/02/12/paxata-streamlining-data-analytics-bigdatasv/|work=SiliconAngle|publisher=The SiliconAngle Network|accessdate=June 19, 2014}}</ref> In March 2014, ] acquired an interest in the startup.<ref>{{cite news|date=March 7, 2014|title=In-Q-Tel Invests in Data-Prep Platform Paxata|url=http://www.informationweek.com/government/big-data-analytics/in-q-tel-invests-in-data-prep-platform-paxata/d/d-id/1114169|newspaper=InformationWeek|publisher=UBM Tech|accessdate=June 19, 2014|first=Patience|last=Wait}}</ref> Paxata was founded in January 2012.<ref name="one"/> It initially raised $2 million in venture capital.<ref name="two">{{cite news|work=Gigaom|title=With $10M from Accel, Paxata wants to make data prep a breeze|first=Derrick|last=Harris|date=October 28, 2013|access-date=June 19, 2014|url=http://gigaom.com/2013/10/28/with-10m-from-accel-paxata-wants-to-make-data-prep-a-breeze/}}</ref> The company came out of ] in October 2013.<ref name="one"/> Simultaneously with its public release, Paxata announced an $8 million funding round led by Accel Partners.<ref name="one">{{cite news|title=Paxata grabs $8M to help data scientists skip the dirty work|url=https://venturebeat.com/2013/10/28/paxata-grabs-8m-to-help-data-scientists-skip-the-dirty-work/|work=VentureBeat|date=October 28, 2013|first=Eric |last=Blattberg|access-date=June 19, 2014}}</ref><ref name="three">{{cite news|date=October 28, 2013|title=Paxata Debuts Data Quality Tools at Strata|first=Alex|last=Woodie|url=http://www.datanami.com/2013/10/28/paxata_debuts_data_quality_tools_at_strata/|work=Datanami|access-date=June 19, 2014}}</ref> Adoption of the software grew quickly.<ref name="one"/><ref name="ten">{{cite news|title=Paxata: streamlining data analytics|first=Alan|last=McStravick|date=February 12, 2014|url=http://siliconangle.com/blog/2014/02/12/paxata-streamlining-data-analytics-bigdatasv/|work=SiliconAngle|publisher=The SiliconAngle Network|access-date=June 19, 2014}}</ref> In March 2014, ] acquired an interest in the startup.<ref>{{cite news|date=March 7, 2014|title=In-Q-Tel Invests in Data-Prep Platform Paxata|url=http://www.informationweek.com/government/big-data-analytics/in-q-tel-invests-in-data-prep-platform-paxata/d/d-id/1114169|newspaper=InformationWeek|publisher=UBM Tech|access-date=June 19, 2014|first=Patience|last=Wait}}</ref>
It raised an additional $18 million in funding in September 2015.<ref name="Harris 2015">{{cite web | last=Harris | first=Derrick | title=This startup raised $18 million to make data analysis less of a chore | website=Fortune | date=September 9, 2015 | url=http://fortune.com/2015/09/09/paxata-funding-data-analysis/ | accessdate=October 13, 2015}}</ref> It also began working with Cisco to jointly develop the Cisco Data Preparation suite of software and services.<ref name="eWeek.com 2015">{{cite web | title=Cisco Makes Move Into Data Preparation Space | website=eWeek.com | date=September 30, 2015 | url=http://www.eweek.com/networking/cisco-makes-move-into-data-preparation-space.html | accessdate=October 13, 2015}}</ref> It raised an additional $18 million in funding in September 2015.<ref name="Harris 2015">{{cite web | last=Harris | first=Derrick | title=This startup raised $18 million to make data analysis less of a chore | website=Fortune | date=September 9, 2015 | url=http://fortune.com/2015/09/09/paxata-funding-data-analysis/ | access-date=October 13, 2015}}</ref> It also began working with Cisco to jointly develop the Cisco Data Preparation suite of software and services.<ref name="eWeek.com 2015">{{cite web | title=Cisco Makes Move Into Data Preparation Space | website=eWeek.com | date=September 30, 2015 | url=http://www.eweek.com/networking/cisco-makes-move-into-data-preparation-space.html | access-date=October 13, 2015}}</ref>


== Software == == Software ==


Paxata refers to its suite of cloud-based data ], ], enrichment and governance products as "Adaptive Data Preparation."<ref name="three"/><ref>{{cite news|title=Startup Paxata automates the dirty work of big data|first=Conner|last=Forrest|date=March 4, 2014|url=http://www.techrepublic.com/article/startup-paxata-automates-the-dirty-work-of-big-data/|work=TechRepublic|publisher=CBS Interactive|accessdate=June 26, 2014}}</ref><ref name="seven"/><ref name="four">{{cite news|first=Tony|last=Baer|publisher=Ovum|title=Paxata puts a business-user face on data preparation|date=October 28, 2013|accessdate=June 19, 2014|url=http://www.ovum.com/paxata-puts-a-business-user-face-on-data-preparation/}}</ref> The software is intended for ]s, who need to combine data from a variety of sources, then check the data for duplicates, empty fields, outliers, trends and integrity issues before conducting analysis or visualization in a third-party software tool.<ref name="four"/><ref>{{cite news|title=On the Radar: Paxata|first=Tony|last=Baer|date=December 13, 2013|accessdate=June 13, 2014|url=http://www.ovum.com/research/on-the-radar-paxata/|publisher=Ovum}}</ref> It uses algorithms and machine-learning to automate certain aspects of data preparation.<ref name="four"/><ref name="thirteen"/> For example, it may automatically detect records belonging to the same person or address, even if the information is formatted differently in each record in different data sets.<ref name="thirteen">{{cite news|date=February 11, 2014|first=Michael|last=Fitzgerald|title=Is Your Company Running a Data Dump?|url=http://www.informationweek.com/software/information-management/is-your-company-running-a-data-dump/d/d-id/1113776|newspaper=InformationWeek|publisher=UBM Tech|accessdate=June 19, 2014}}</ref><ref name="nine"/> Paxata refers to its suite of cloud-based data ], ], enrichment and governance products as "Adaptive Data Preparation."<ref name="three"/><ref>{{cite news|title=Startup Paxata automates the dirty work of big data|first=Conner|last=Forrest|date=March 4, 2014|url=http://www.techrepublic.com/article/startup-paxata-automates-the-dirty-work-of-big-data/|work=TechRepublic|publisher=CBS Interactive|access-date=June 26, 2014}}</ref><ref name="seven"/><ref name="four">{{cite news|first=Tony|last=Baer|publisher=Ovum|title=Paxata puts a business-user face on data preparation|date=October 28, 2013|access-date=June 19, 2014|url=http://www.ovum.com/paxata-puts-a-business-user-face-on-data-preparation/|archive-url=https://web.archive.org/web/20150112002806/http://www.ovum.com/paxata-puts-a-business-user-face-on-data-preparation/|archive-date=January 12, 2015|url-status=dead}}</ref> The software is intended for ]s, who need to combine data from a variety of sources, then check the data for duplicates, empty fields, outliers, trends and integrity issues before conducting analysis or visualization in a third-party software tool.<ref name="four"/><ref>{{cite news|title=On the Radar: Paxata|first=Tony|last=Baer|date=December 13, 2013|access-date=June 13, 2014|url=http://www.ovum.com/research/on-the-radar-paxata/|publisher=Ovum|archive-url=https://web.archive.org/web/20150112002556/http://www.ovum.com/research/on-the-radar-paxata/|archive-date=January 12, 2015|url-status=dead}}</ref> It uses algorithms and machine-learning to automate certain aspects of data preparation.<ref name="four"/><ref name="thirteen"/> For example, it may automatically detect records belonging to the same person or address, even if the information is formatted differently in each record in different data sets.<ref name="thirteen">{{cite news|date=February 11, 2014|first=Michael|last=Fitzgerald|title=Is Your Company Running a Data Dump?|url=http://www.informationweek.com/software/information-management/is-your-company-running-a-data-dump/d/d-id/1113776|newspaper=InformationWeek|publisher=UBM Tech|access-date=June 19, 2014}}</ref><ref name="nine"/>


The software has a spreadsheet-based user interface.<ref name="four"/><ref name="nine">{{cite news|title=Paxata Give Analysts Valuable Time Back for Analytics|date=January 29, 2014|url=http://tonycosentino.ventanaresearch.com/2014/01/29/paxata-give-analysts-valuable-time-back-for-analytics/|accessdate=June 19, 2014 |first=Tony|last=Cosentino|publisher=Ventana Research}}</ref> Patterns and anomalies in the data are color-coded in the spreadsheet. Then users are provided with instructions on how to resolve data quality issues or to supplement the data with contextual information.<ref name="seven">{{cite news|title=Cool Vendors in Data Integration and Data|date=April 24, 2014|first1=Eric|last1=Thoo|first2=Ted|last2=Friedman|first3=Saul|last3=Judah|first4=Rita L.|last4=Sallam|first5=Roxane|last5=Edjlali|publisher=Gartner|url=https://www.gartner.com/doc/2719217/cool-vendors-data-integration-data|accessdate=June 19, 2014}}</ref> Data sets and related quality issues can also be addressed in a collaborative environment through the "Paxata Share" feature.<ref name="nine"/> It runs on ].<ref name="Harris 2015"/><ref>{{cite web | title=Paxata Applies Data Governance Controls to Big Data | website=IT Business Edge | date=April 23, 2015 | url=http://www.itbusinessedge.com/blogs/it-unmasked/paxata-applies-data-governance-controls-to-big-data.html | accessdate=August 20, 2015}}</ref> The software has a spreadsheet-based user interface.<ref name="four"/><ref name="nine">{{cite news|title=Paxata Give Analysts Valuable Time Back for Analytics|date=January 29, 2014|url=http://tonycosentino.ventanaresearch.com/2014/01/29/paxata-give-analysts-valuable-time-back-for-analytics/|access-date=June 19, 2014|first=Tony|last=Cosentino|publisher=Ventana Research|archive-url=https://web.archive.org/web/20140620162013/http://tonycosentino.ventanaresearch.com/2014/01/29/paxata-give-analysts-valuable-time-back-for-analytics/|archive-date=June 20, 2014|url-status=dead}}</ref> Patterns and anomalies in the data are color-coded in the spreadsheet. Then users are provided with instructions on how to resolve data quality issues or to supplement the data with contextual information.<ref name="seven">{{cite news|title=Cool Vendors in Data Integration and Data|date=April 24, 2014|first1=Eric|last1=Thoo|first2=Ted|last2=Friedman|first3=Saul|last3=Judah|first4=Rita L.|last4=Sallam|first5=Roxane|last5=Edjlali|publisher=Gartner|url=https://www.gartner.com/doc/2719217/cool-vendors-data-integration-data|access-date=June 19, 2014}}</ref> Data sets and related quality issues can also be addressed in a collaborative environment through the "Paxata Share" feature.<ref name="nine"/> It runs on ].<ref name="Harris 2015"/><ref>{{cite web | title=Paxata Applies Data Governance Controls to Big Data | website=IT Business Edge | date=April 23, 2015 | url=http://www.itbusinessedge.com/blogs/it-unmasked/paxata-applies-data-governance-controls-to-big-data.html | access-date=August 20, 2015}}</ref>


According to analyst firm ], the software is made possible through advances in ], ] and the ] data caching methodology.<ref name="four"/> The software uses ] algorithms to understand the meaning of a data table's columns and pattern recognition algorithms to find potential duplicates in a data-set.<ref name="four"/><ref name="two"/> It also uses indexing, text pattern recognition and other technologies traditionally found in social media and search software.<ref name="six">{{cite news|title=Automating the Pain Out of Big Data Transformation|first=Alex|last=Woodie|url=http://www.datanami.com/2014/01/24/automating_the_pain_out_of_big_data_transformation/|accessdate=June 19, 2014|date=January 24, 2014|work=Datanami}}</ref> According to analyst firm ], the software is made possible through advances in ], ] and the ] data caching methodology.<ref name="four"/> The software uses ] algorithms to understand the meaning of a data table's columns and pattern recognition algorithms to find potential duplicates in a data-set.<ref name="four"/><ref name="two"/> It also uses indexing, text pattern recognition and other technologies traditionally found in social media and search software.<ref name="six">{{cite news|title=Automating the Pain Out of Big Data Transformation|first=Alex|last=Woodie|url=http://www.datanami.com/2014/01/24/automating_the_pain_out_of_big_data_transformation/|access-date=June 19, 2014|date=January 24, 2014|work=Datanami}}</ref>
One of the software's users is dairy producer ], which uses the software so that business staff can create their own reports on merchandising, supply chain and product data, without the IT department.<ref>{{cite news|url=http://www.baselinemag.com/business-intelligence/dannon-speeds-up-data-preparation-and-analysis.html/|title=Dannon Speeds Up Data Preparation and Analysis|date=March 26, 2014|first=Eileen|last=Feretic|newspaper=Baseline|publisher=Bradbourne Publishing|accessdate=June 22, 2014 }}</ref> One of the software's users is dairy producer ], which uses the software so that business staff can create their own reports on merchandising, supply chain and product data, without the IT department.<ref>{{cite news|url=http://www.baselinemag.com/business-intelligence/dannon-speeds-up-data-preparation-and-analysis.html/|title=Dannon Speeds Up Data Preparation and Analysis|date=March 26, 2014|first=Eileen|last=Feretic|newspaper=Baseline|publisher=Bradbourne Publishing|access-date=June 22, 2014 }}</ref>


] ]
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In its 2014 report "Cool Vendors in Data Integration and Data Quality", ] praised Paxata for developing a "business-user-friendly" data quality product that does not use code.<ref name="seven"/> Ventana Research said its spreadsheet-based user interface "should resonate well with business analysts," who are resistant to move away from familiar Excel-like programs.<ref name="nine"/> Gartner also said Paxata was recognized in the report due to its automated, algorithm-based features and how it tracks any changes made to the data.<ref name="seven"/> In its 2014 report "Cool Vendors in Data Integration and Data Quality", ] praised Paxata for developing a "business-user-friendly" data quality product that does not use code.<ref name="seven"/> Ventana Research said its spreadsheet-based user interface "should resonate well with business analysts," who are resistant to move away from familiar Excel-like programs.<ref name="nine"/> Gartner also said Paxata was recognized in the report due to its automated, algorithm-based features and how it tracks any changes made to the data.<ref name="seven"/>


Ventana Research said Paxata was in a "noisy marketplace".<ref name="nine"/> According to Gartner, while Paxata is an early entrant into the market, many startups and large corporations are making investments in developing similar competing products.<ref name="seven"/> According to '']'' and ''IT Business Edge'', one way Paxata differs is that it automatically merges multiple data-sets into a single table, so it can be easily imported into a visualization or analysis tool.<ref name="two"/><ref name="five">{{cite news|title=Paxata Rises to the Challenge of Big Data Preparation|first=Mike|last=Vizard|date=November 27, 2013|url=http://www.itbusinessedge.com/blogs/it-unmasked/paxata-rises-to-the-challenge-of-big-data-preparation.html|work=IT Business Edge|publisher=QuinStreet|accessdate=June 19, 2014}} Ventana Research said Paxata was in a "noisy marketplace".<ref name="nine"/> According to Gartner, while Paxata is an early entrant into the market, many startups and large corporations are making investments in developing similar competing products.<ref name="seven"/> According to '']'' and ''IT Business Edge'', one way Paxata differs is that it automatically merges multiple data-sets into a single table, so it can be easily imported into a visualization or analysis tool.<ref name="two"/><ref name="five">{{cite news|title=Paxata Rises to the Challenge of Big Data Preparation|first=Mike|last=Vizard|date=November 27, 2013|url=http://www.itbusinessedge.com/blogs/it-unmasked/paxata-rises-to-the-challenge-of-big-data-preparation.html|work=IT Business Edge|publisher=QuinStreet|access-date=June 19, 2014}}
</ref> </ref>


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* {{Official website}} * {{Official website}}

{{Good article}}


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Latest revision as of 05:00, 26 July 2024

American private software company
Paxata
Company typePrivate
IndustryEnterprise analytics software
FoundedJanuary 2012; 13 years ago (2012-01)
HeadquartersRedwood City, CA
Area servedWorldwide
Key people
  • Prakash Nanduri (Co-Founder & CEO)
  • Dave Brewster (Co-Founder & CTO)
  • Chris Maddox (Co-Founder & VP of Business Development)
  • Nenshad Bardoliwalla (Co-Founder & Chief Product Officer)
ProductsThe Paxata suite of self-service data preparation software

Paxata is a privately owned software company headquartered in Redwood City, California. It develops self-service data preparation software that gets data ready for data analytics software. Paxata's software is intended for business analysts, as opposed to technical staff. It is used to combine data from different sources, then check it for data quality issues, such as duplicates and outliers. Algorithms and machine learning automate certain aspects of data preparation and users work with the software through a user-interface similar to Excel spreadsheets.

The company was founded in January 2012 and operated in stealth mode until October 2013. It received more than $10 million in venture funding before being acquired by DataRobot.

History

Paxata was founded in January 2012. It initially raised $2 million in venture capital. The company came out of stealth mode in October 2013. Simultaneously with its public release, Paxata announced an $8 million funding round led by Accel Partners. Adoption of the software grew quickly. In March 2014, In-Q-Tel acquired an interest in the startup. It raised an additional $18 million in funding in September 2015. It also began working with Cisco to jointly develop the Cisco Data Preparation suite of software and services.

Software

Paxata refers to its suite of cloud-based data quality, integration, enrichment and governance products as "Adaptive Data Preparation." The software is intended for business analysts, who need to combine data from a variety of sources, then check the data for duplicates, empty fields, outliers, trends and integrity issues before conducting analysis or visualization in a third-party software tool. It uses algorithms and machine-learning to automate certain aspects of data preparation. For example, it may automatically detect records belonging to the same person or address, even if the information is formatted differently in each record in different data sets.

The software has a spreadsheet-based user interface. Patterns and anomalies in the data are color-coded in the spreadsheet. Then users are provided with instructions on how to resolve data quality issues or to supplement the data with contextual information. Data sets and related quality issues can also be addressed in a collaborative environment through the "Paxata Share" feature. It runs on Apache Spark.

According to analyst firm Ovum, the software is made possible through advances in predictive analytics, machine learning and the NoSQL data caching methodology. The software uses semantic algorithms to understand the meaning of a data table's columns and pattern recognition algorithms to find potential duplicates in a data-set. It also uses indexing, text pattern recognition and other technologies traditionally found in social media and search software. One of the software's users is dairy producer Danone, which uses the software so that business staff can create their own reports on merchandising, supply chain and product data, without the IT department.

Paxata's spreadsheet-based user interface

Reception

In its 2014 report "Cool Vendors in Data Integration and Data Quality", Gartner praised Paxata for developing a "business-user-friendly" data quality product that does not use code. Ventana Research said its spreadsheet-based user interface "should resonate well with business analysts," who are resistant to move away from familiar Excel-like programs. Gartner also said Paxata was recognized in the report due to its automated, algorithm-based features and how it tracks any changes made to the data.

Ventana Research said Paxata was in a "noisy marketplace". According to Gartner, while Paxata is an early entrant into the market, many startups and large corporations are making investments in developing similar competing products. According to Gigaom and IT Business Edge, one way Paxata differs is that it automatically merges multiple data-sets into a single table, so it can be easily imported into a visualization or analysis tool.

Gartner said Paxata will have a difficult time finding a compelling pricing model, when many data discovery tools that it supplements provide some similar features. In contrast, Ventana said Paxata's pricing was "a pretty small amount" compared to the amount of time users can save.

References

  1. "Paxata: Company Profile". Bloomberg L.P. Retrieved September 28, 2014.
  2. "Contact us". Paxata. Archived from the original on October 27, 2014. Retrieved September 28, 2014.
  3. ^ "Paxata Leadership". Paxata. Archived from the original on August 12, 2014. Retrieved September 28, 2014.
  4. Vizard, Michael (2019-12-19). "DataRobot Acquires Paxata to Extend AI Platform". RTInsights. Retrieved 2020-03-18.
  5. "DataRobot is acquiring Paxata to add data prep to machine learning platform". TechCrunch. 12 December 2019. Retrieved 2020-03-18.
  6. ^ Blattberg, Eric (October 28, 2013). "Paxata grabs $8M to help data scientists skip the dirty work". VentureBeat. Retrieved June 19, 2014.
  7. ^ Harris, Derrick (October 28, 2013). "With $10M from Accel, Paxata wants to make data prep a breeze". Gigaom. Retrieved June 19, 2014.
  8. ^ Woodie, Alex (October 28, 2013). "Paxata Debuts Data Quality Tools at Strata". Datanami. Retrieved June 19, 2014.
  9. McStravick, Alan (February 12, 2014). "Paxata: streamlining data analytics". SiliconAngle. The SiliconAngle Network. Retrieved June 19, 2014.
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