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| Company type | Private |
|---|---|
| Industry | Enterprise analytics software |
| Founded | January 2012 |
| Headquarters | Redwood City, CA |
| Area served | Worldwide |
| Key people |
|
| Products | The Paxata suite of self-service data preparation software |
| Website | www |
Paxata is a privately owned software company headquartered in Redwood City, California. It develops self-service data preparation software that does not require coding and is intended for business analysts. The company was founded in January 2012 and operated in stealth mode until October 2013. It has received more than $10 million in venture funding.
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.
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.
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 Dannon, which uses the software so that business staff can create their own reports on merchandising, supply chain and product data without the IT department.
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 doesn't use code. Ventana Research said it's 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 Giga Om 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
- Paxata:Company Profile, Bloomberg, retrieved September 28, 2014
- ^ Cosentino, Tony (January 29, 2014). "Paxata Give Analysts Valuable Time Back for Analytics". Ventana Research. Retrieved June 19, 2014.
- ^ Blattberg, Eric (October 28, 2013). "Paxata grabs $8M to help data scientists skip the dirty work". VentureBeat. Retrieved June 19, 2014.
- Contact us, Paxata, retrieved September 28, 2014
- ^ Paxata Leadership, Paxata, retrieved September 28, 2014
- ^ Harris, Derrick (October 28, 2013). "With $10M from Accel, Paxata wants to make data prep a breeze". Giga Om. Retrieved June 19, 2014.
- ^ Woodie, Alex (October 28, 2013). "Paxata Debuts Data Quality Tools at Strata". Datanami. Retrieved June 19, 2014.
- McStravick, Alan (February 12, 2014). "Paxata: streamlining data analytics". Silicon Angle. Retrieved June 19, 2014.
- Wait, Patience (March 7, 2014). "In-Q-Tel Invests In Data-Prep Platform Paxata". InformationWeek. Retrieved June 19, 2014.
- Forrest, Conner (March 4, 2014). "Startup Paxata automates the dirty work of big data". Tech Republic. Retrieved June 26, 2014.
- ^ Thoo, Eric; Ted Friedman; Saul Judah; Rita L. Sallam; Roxane Edjlali (April 24, 2014). "Cool Vendors in Data Integration and Data". Gartner. Retrieved June 19, 2014.
- ^ Baer, Tony (October 28, 2013). "Paxata puts a business-user face on data preparation". Ovum.
{{cite news}}:|access-date=requires|url=(help) - Baer, Tony (December 13, 2013). "On the Radar: Paxata". Ovum Research.
{{cite news}}:|access-date=requires|url=(help) - ^ Fitzgerald, Michael (February 11, 2014). "Is Your Company Running A Data Dump?". Information Week. Retrieved June 19, 2014.
- Woodie, Alex (January 24, 2014). "Automating the Pain Out of Big Data Transformation". Datanami. Retrieved June 19, 2014.
- Feretic, Eileen (March 26, 2014). "Dannon Speeds Up Data Preparation and Analysis". Baseline. Retrieved June 22, 2014.
- Vizard, Mike (November 27, 2013). "Paxata Rises to the Challenge of Big Data Preparation". IT Business Edge. Retrieved June 19, 2014.