Data mining companies in California harness vast amounts of data to extract valuable insights and trends for businesses across various sectors. This industry includes firms that provide solutions in analytics, machine learning, big data processing, and predictive modeling. With technology rapidly evolving, companies are increasingly utilizing artificial intelligence to refine their data analysis methods. This shift toward AI-driven solutions aims to improve efficiency and accuracy in decision-making processes, promising significant advancements for industries such as finance, healthcare, and entertainment.

The data mining companies listed here vary in size and focus, predominantly headquartered in Santa Clara and San Francisco, California. Founded mostly from 2007 to 2013, these companies specialize in areas such as analytics, machine learning, and artificial intelligence. From firms like Cloudera and Looker, which offer comprehensive platforms, to newer entrants like Kumo and Aible that focus on AI solutions, the list reflects a dynamic mix of established players and emerging innovators.

Continue reading to explore California's top data mining companies.

Top 25 Data Mining Companies Companies in California

1. Cloudera

• Website: cloudera.com
• Ownership type: Corporate
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: India 30%, United States (USA) 27%, Hungary 13%, Other 30%
• Latest funding: $5.3B, June 2021
• Founded year: 2008
• Headcount: 1001-5000
• LinkedIn: cloudera

Cloudera, Inc. is a data management and analytics company based in Santa Clara, California. Founded in 2008, Cloudera has established itself as a key player in the data industry by offering a hybrid data platform that integrates various data services. Their solutions cater to large enterprises across multiple sectors, including financial services, healthcare, and telecommunications. Cloudera's platform supports machine learning, data engineering, and analytics, enabling organizations to derive actionable insights from their data. The company has received significant funding, with a notable amount of $5.3 billion reported in June 2021, which underscores its potential for growth and innovation. Cloudera's commitment to open-source technologies, particularly through its association with Apache Hadoop and Apache Iceberg, further enhances its position in the market, allowing for flexibility and scalability in data management.

2. Hortonworks

• Website: hortonworks.com
• Ownership type: Corporate
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: United States (USA) 49%, India 18%, Hungary 13%, Other 20%
• Latest funding: $5.2B, October 2018
• Founded year: 2011
• Headcount: 1001-5000
• LinkedIn: hortonworks

Hortonworks, founded in 2011 and based in Santa Clara, California, was a technology company specializing in data management and analytics solutions. The company focused on providing enterprises with tools to effectively manage and analyze their data, particularly in sectors such as financial services and healthcare. Hortonworks was known for its contributions to open-source data technologies, particularly in the Hadoop ecosystem. In 2018, Hortonworks merged with Cloudera, further enhancing its capabilities in the data analytics space. The combined entity continues to offer the Cloudera Data Platform, which supports various data-related functions including data engineering, machine learning, and operational databases. The company has received substantial funding, totaling $5.2 billion, which underscores its significance in the data management industry.

3. Looker

• Website: looker.com
• Ownership type: Corporate
• Headquarters: Santa Cruz, California, United States (USA)
• Employee distribution: United States (USA) 76%, Japan 9%, Ireland 9%, Other 7%
• Latest funding: $2.6B, June 2019
• Founded year: 2011
• Headcount: 501-1000
• LinkedIn: looker

Looker Data Sciences, Inc., founded in 2011 and based in Santa Cruz, California, is a corporate entity focused on business intelligence and data analytics. The company provides a robust data exploration and discovery platform that empowers organizations to analyze and visualize their data effectively. Looker's solutions cater to various industries, enabling businesses to harness their data for informed decision-making. The company has attracted significant investment, with a reported funding amount of $2.6 billion as of June 2019, underscoring its relevance and potential in the data analytics space. Looker integrates seamlessly with other data tools and platforms, enhancing its utility for businesses looking to leverage data-driven insights.

4. Neo4j

• Website: neo4j.com
• Ownership type: Private Equity
• Headquarters: San Mateo, California, United States (USA)
• Employee distribution: United States (USA) 32%, United Kingdom (UK) 27%, Sweden 21%, Other 20%
• Latest funding: $50.0M, November 2024
• Founded year: 2007
• Headcount: 501-1000
• LinkedIn: neo4j

Neo4j Inc. is a software company based in San Mateo, California, founded in 2007. It specializes in graph database management systems, offering products like the Neo4j Graph Database and Neo4j AuraDB. These solutions cater to businesses and organizations that need sophisticated data management and analytics capabilities. Neo4j's technology allows users to analyze intricate relationships in data, which enhances decision-making processes across various sectors, including finance, fraud detection, and knowledge management. The company has also developed the Neo4j Graph Data Science platform, which supports data scientists in uncovering and analyzing relationships in connected data, thereby improving machine learning model accuracy. With a workforce of around 912 employees and a significant presence in the United States, United Kingdom, and Sweden, Neo4j continues to expand its influence in the data analytics space. Recently, the company secured $50 million in funding, reflecting its ongoing relevance and potential for growth in the industry.

5. Tredence Inc.

• Website: tredence.com
• Ownership type: Private Equity
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: India 88%, United States (USA) 9%, Canada 3%
• Latest funding: Series B, $175.0M, December 2022
• Founded year: 2013
• Headcount: 1001-5000
• LinkedIn: tredence

Tredence Inc., founded in 2013 and based in San Jose, California, is a data science consulting firm that specializes in AI solutions and advanced analytics. With a workforce of over 3,000 employees, the company operates primarily in India and the United States. Tredence provides a range of services, including AI consulting, data engineering, and customer analytics, aimed at helping businesses transform their data into actionable insights. Their expertise spans multiple sectors, including retail, healthcare, and financial services, where they assist clients in making informed decisions based on data-driven strategies. The company has recently secured $175 million in funding, which underscores its growth trajectory and commitment to enhancing its service offerings. Tredence has also received accolades for its innovative approaches, being recognized as a leader in various industry assessments, which reflects its significant role in the data analytics and mining industry.

6. NetBase Quid

• Website: netbasequid.com
• Ownership type: Venture Capital
• Headquarters: Santa Clara, California, United States (USA)
• Latest funding: Series E-K, $24.0M, March 2015
• Founded year: 2004
• Headcount: 201-500
• LinkedIn: netbase-solutions-inc-

NetBase Quid, founded in 2004 and based in Santa Clara, California, is a market intelligence provider that leverages artificial intelligence to offer data analysis tools. The company focuses on helping businesses understand consumer behavior and market trends across various sectors, including marketing and data science. Their product offerings include Quid Discover, Quid Monitor, Quid Predict, Quid Compete, and Quid Connect, each designed to provide insights that drive informed decision-making. With a workforce of approximately 305 employees, NetBase Quid has attracted significant investment, securing $24 million in funding during its Series E-K round in 2015. This financial backing underscores their potential for growth and innovation in the data mining industry.

7. TigerGraph

• Website: tigergraph.com
• Ownership type: Venture Capital
• Headquarters: Redwood City, California, United States (USA)
• Employee distribution: United States (USA) 83%, United Kingdom (UK) 9%, China 6%, Other 2%
• Latest funding: Series C, $105.0M, February 2021
• Founded year: 2012
• Headcount: 201-500
• LinkedIn: tigergraph

TigerGraph, founded in 2012 and based in Redwood City, California, is a technology company that focuses on graph database solutions and analytics. Their products, such as TigerGraph Cloud and GraphStudio, enable businesses to analyze intricate data relationships in real-time. This capability is particularly beneficial for industries that require deep insights from complex datasets, such as finance, healthcare, and supply chain management. TigerGraph has attracted significant investment, with a Series C funding round raising $105 million in February 2021. Their clientele includes major enterprises like Ford, JPMorgan Chase, and Intuit, which utilize TigerGraph's solutions to improve operations and customer experiences through advanced data insights. The company is also involved in promoting graph data science, offering tools that integrate machine learning with graph analytics, thus enhancing the data mining process.

8. Kumo

• Website: kumo.ai
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 82%, United Kingdom (UK) 13%, Germany 5%
• Latest funding: Series B, $18.0M, September 2022
• Founded year: 2021
• Headcount: 51-200
• LinkedIn: kumo-ai

Kumo, founded in 2021 and based in Mountain View, California, is an AI solutions provider that specializes in machine learning and data analytics. The company aims to assist businesses in enhancing customer experiences, optimizing marketing strategies, and detecting fraud through its advanced predictive modeling tools. Kumo's platform offers a range of capabilities, including personalized customer experiences, customer acquisition, retention strategies, and fraud detection. The company has also developed solutions for anti-money laundering and knowledge graph enrichment, showcasing its commitment to addressing complex business challenges. With a workforce of approximately 83 employees and a significant presence in the United States, United Kingdom, and Germany, Kumo is positioned to make a notable impact in the technology sector. The company secured $18 million in Series B funding in September 2022, reflecting its growth potential and the confidence of its investors.

9. DataSkill

• Website: dataskill.com
• Ownership type: Private
• Headquarters: San Diego, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 1981
• Headcount: 51-200
• LinkedIn: dataskill

DataSkill, based in San Diego, California, is a private technology solutions provider founded in 1981. The company specializes in data analytics and artificial intelligence, offering a suite of products designed to help businesses leverage data for better decision-making. Their flagship products include ACUMI DataFind, which focuses on text analytics; ACUMI DataLearn, which addresses knowledge analytics; and ACUMI DataConnect, which provides IoT analytics. DataSkill serves various industries, including healthcare, finance, telecommunications, and more. Their partnership with IBM as a Gold Business Partner enhances their ability to deliver advanced solutions, particularly in AI and analytics. DataSkill has a proven track record of helping organizations, such as UnityPoint Health and the U.S. Navy, optimize their data processes and improve operational efficiency.

10. GoodData

• Website: gooddata.com
• Ownership type: Venture Capital
• Headquarters: San Francisco, California, United States (USA)
• Latest funding: Other (Debt), $45.0M, July 2021
• Founded year: 2007
• Headcount: 201-500
• LinkedIn: gooddata

GoodData, founded in 2007 and based in San Francisco, California, is a software company that specializes in analytics and business intelligence solutions. The company operates primarily through a Software as a Service (SaaS) model, offering a cloud-based platform that enables businesses to leverage data for improved decision-making. GoodData's services include AI-assisted analytics, embedded analytics, and data monetization, catering to various sectors such as e-commerce, financial services, and healthcare. With a workforce of approximately 328 employees, GoodData has received significant funding, including a recent $45 million round in July 2021, which underscores its active role in the analytics industry. The company is recognized for its innovative approach to data management, allowing organizations to design and deploy custom data applications while integrating advanced analytics capabilities.

11. Trifacta

• Website: trifacta.com
• Ownership type: Corporate
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 47%, India 40%, Germany 13%
• Latest funding: $400.0M, January 2022
• Founded year: 2012
• Headcount: 51-200
• LinkedIn: trifacta

Trifacta, founded in 2012 and based in San Francisco, California, is a company that focuses on data preparation and analytics. Their platform is designed to help businesses streamline their data processes, enabling users to clean, enrich, and analyze data effectively. Trifacta's tools are particularly valuable for organizations looking to derive actionable insights from their data. The company has received significant funding, totaling $400 million as of January 2022, which underscores investor confidence in its technology and market potential. Trifacta's solutions cater to various industries, making it a relevant player in the data analytics and mining space.

12. Diffbot

• Website: diffbot.com
• Ownership type: Venture Capital
• Headquarters: Menlo Park, California, United States (USA)
• Employee distribution: United States (USA) 91%, Croatia 9%
• Latest funding: Series A, $10.0M, February 2016
• Founded year: 2011
• Headcount: 11-50
• LinkedIn: diffbot

Diffbot, founded in 2011 and based in Menlo Park, California, is a technology company that specializes in data extraction and artificial intelligence. The firm offers a suite of products designed to help businesses access and structure web data for various applications, including market intelligence, news monitoring, and machine learning. With a focus on automating the extraction of information from the web, Diffbot has built a robust Knowledge Graph that contains over 246 million organizations and 1.6 billion news articles, blog posts, and press releases. This extensive database allows clients to gain insights into market trends and consumer behavior. The company has received significant funding, totaling $10 million in a Series A round in 2016, which has likely supported its growth and technological advancements. Diffbot's tools are utilized across multiple industries, making it a relevant player in the data mining sector.

13. Numerai

• Website: numer.ai
• Ownership type: Venture Capital
• Headquarters: San Francisco, California, United States (USA)
• Employee distribution: United States (USA) 63%, Brazil 9%, Indonesia 9%, Other 19%
• Latest funding: Series B, $10.0M, February 2023
• Founded year: 2015
• Headcount: 11-50
• LinkedIn: numerai

Numerai, founded in 2015 and based in San Francisco, California, is a data science platform that specializes in stock market predictions and investment management. The company provides high-quality, clean, and obfuscated data designed for immediate use by data scientists and quantitative analysts. Numerai allows these professionals to build machine learning models to forecast market performance. Participants can stake their models and earn rewards, creating a competitive environment that encourages innovation in data mining techniques. The firm has received significant backing, including a recent Series B funding round of $10 million in February 2023, which highlights investor confidence in its business model and growth potential. Numerai also operates a cryptocurrency, NMR, which is used for staking models, further integrating modern financial technology into its operations.

14. Rule14 LLC

• Website: rule14.com
• Ownership type: Private
• Headquarters: Santa Monica, California, United States (USA)
• Employee distribution: India 75%, United States (USA) 25%
• Founded year: 2011
• Headcount: 11-50
• LinkedIn: rule14-llc

Rule14 LLC, founded in 2011 and based in Santa Monica, California, is a technology firm that specializes in big data analytics. The company offers a suite of services aimed at enhancing revenue, preventing losses, and detecting fraud for both businesses and government entities. Their solutions leverage predictive analytics to provide clients with insights derived from extensive data analysis. Rule14's analytics platform allows organizations to discover, monitor, extract, analyze, and visualize large data sets in various formats. The company employs a global team of data scientists and engineers, with a significant portion of its workforce based in India. Rule14 has developed tools for handling unstructured data, which is increasingly important in today's data-driven environment. Their focus on real-time decision-making and customized applications positions them as a relevant player in the data mining industry.

15. Aible

• Website: aible.com
• Ownership type: Private
• Headquarters: Pleasanton, California, United States (USA)
• Employee distribution: United States (USA) 96%, United Kingdom (UK) 4%
• Latest funding: $26.4M, January 2020
• Founded year: 2018
• Headcount: 11-50
• LinkedIn: aible

Aible, founded in 2018 and based in Pleasanton, California, is a private technology company focused on artificial intelligence solutions. The company aims to empower businesses by providing tools that facilitate strategic decision-making through data utilization. Aible's offerings include Generative AI Apps and Augmented Analytics, which cater to various sectors such as healthcare, retail, and education. Their solutions are designed to help enterprises optimize operations and improve customer experiences by leveraging both structured and unstructured data. Aible has attracted significant investment, with a reported funding amount of approximately $26 million as of January 2020. This financial backing supports their mission to democratize AI and make it accessible for business users, enabling them to derive actionable insights from their data without requiring specialized knowledge in AI.

16. OmniSci

• Website: omnisci.com
• Ownership type: Private
• Headquarters: San Francisco, California, United States (USA)
• Founded year: 2013
• Headcount: 51-200
• LinkedIn: omnisci

OmniSci, also known as HEAVY.AI, is a San Francisco-based analytics software company founded in 2013. The firm specializes in providing advanced data analytics and visualization solutions, particularly for large datasets. Their platform is designed to enable businesses to process and analyze vast amounts of data efficiently, utilizing cutting-edge AI and machine learning technologies. OmniSci's tools are employed by various sectors, including telecommunications, energy, and public services, allowing organizations to extract valuable insights and enhance decision-making processes. The company has developed a reputation for its GPU-accelerated analytics capabilities, which allow users to query massive datasets significantly faster than traditional systems. This focus on performance and scalability positions OmniSci as a notable player in the data analytics and mining industry.

17. SteppeChange

• Website: steppechange.com
• Ownership type: Private
• Headquarters: Palo Alto, California, United States (USA)
• Employee distribution: United States (USA) 65%, Israel 12%, Russia 12%, Other 12%
• Founded year: 2011
• Headcount: 51-200
• LinkedIn: steppechange

SteppeChange, founded in 2011 and based in Palo Alto, California, is a private data analytics firm with a workforce of around 51-200 employees. The company specializes in providing advanced analytics and data science solutions primarily for the telecommunications, banking, and digital sectors. Their services are designed to help organizations harness the power of data to improve customer experiences, enhance operational efficiencies, and create new revenue streams. SteppeChange employs a tailored approach, offering client-specific solutions that address real business challenges. They have developed a big data platform, SteppeChorus, which supports various analytics applications and enables clients to process and analyze large volumes of data effectively. The company has a global presence, with a significant portion of its workforce located in the United States, Israel, Russia, and Georgia, reflecting its international reach and expertise in the data analytics field.

18. DNAMIC | Databricks Data Solutions

• Website: dnamic.ai
• Ownership type: Private
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: Costa Rica 95%, Mexico 5%
• Founded year: 2014
• Headcount: 51-200
• LinkedIn: dnamic-ai

DNAMIC | Databricks Data Solutions, founded in 2014 and based in San Jose, California, is a private data services company with a workforce of approximately 74 employees. The firm specializes in a range of services including data strategy, engineering, artificial intelligence, machine learning solutions, and data quality assurance. With a significant presence in Costa Rica, where 95% of its employees are located, DNAMIC serves major business hubs across the United States, including California, New York, and Texas. The company has established partnerships with notable clients such as Motorola, Discovery Channel, and Warner Music Group, showcasing its capability to deliver impactful data solutions. DNAMIC's focus on integrating Databricks solutions allows them to provide centralized data processing and ensure compliance with industry regulations, making them a valuable player in the data services sector.

19. Sparkflows

• Website: sparkflows.io
• Ownership type: Venture Capital
• Headquarters: San Jose, California, United States (USA)
• Employee distribution: United States (USA) 55%, India 45%
• Latest funding: July 2022
• Founded year: 2016
• Headcount: 51-200
• LinkedIn: sparkflows

Sparkflows, founded in 2016 and based in San Jose, California, is a data science platform that specializes in self-service solutions for machine learning and generative AI. The company serves a wide array of sectors, including banking, healthcare, and telecommunications, providing tools that facilitate data engineering, analytics, and AI model development. Sparkflows aims to empower organizations to harness their data effectively, driving insights and enhancing decision-making processes. With a workforce of around 29 employees, the company has a significant presence in both the United States and India. Sparkflows has not reported any recent funding, indicating a focus on organic growth and product development. Their platform integrates seamlessly with major cloud services, allowing businesses to implement data-driven strategies efficiently.

20. H2O.ai

• Website: h2o.ai
• Ownership type: Venture Capital
• Headquarters: Mountain View, California, United States (USA)
• Employee distribution: United States (USA) 39%, Sri Lanka 13%, Czech Republic 8%, Other 40%
• Latest funding: May 2023
• Founded year: 2012
• Headcount: 201-500
• LinkedIn: h2oai

H2O.ai, founded in 2012 and based in Mountain View, California, is an AI solutions provider that focuses on generative and predictive AI technologies. The company offers a suite of products designed to help businesses harness the power of AI for improved decision-making and operational efficiency. Notable offerings include H2O Driverless AI, which automates machine learning processes, and H2O Document AI, which intelligently extracts data from documents. H2O.ai serves a variety of industries, including financial services, healthcare, and manufacturing, demonstrating its capability to address complex data challenges across sectors. The company has also been recognized in the Gartner Magic Quadrant for Cloud AI Developer Services, highlighting its innovative contributions to the field. With a workforce of around 325 employees and a global presence, H2O.ai continues to push the boundaries of AI technology, making it a significant player in the data mining industry.

21. FocusKPI, Inc.

• Website: focuskpi.com
• Ownership type: Private
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: United States (USA) 100%
• Founded year: 2010
• Headcount: 11-50
• LinkedIn: focuskpi-inc-

FocusKPI, Inc., founded in 2010 and based in Santa Clara, California, is a data analytics firm that specializes in artificial intelligence, predictive analytics, and business intelligence solutions. The company has carved out a niche by providing customized analytics services to businesses in sectors such as financial services, healthcare, internet technology, retail, and e-commerce. With a team of skilled professionals, FocusKPI focuses on delivering high ROI results through data analytics and machine learning. Their services include data strategy and planning, performance optimization, and customer insights, which are essential for businesses looking to leverage data for strategic decision-making. The firm has built a reputation for its ability to integrate analytics solutions with existing business processes, ensuring that clients can achieve measurable improvements in productivity and revenue. FocusKPI's commitment to client satisfaction is reflected in their high retention rate, showcasing their effectiveness in the competitive analytics market.

22. Apurba Technologies Inc

• Website: apurbatech.com
• Ownership type: Private
• Headquarters: Sunnyvale, California, United States (USA)
• Employee distribution: United States (USA) 67%, Malaysia 33%
• Founded year: 2009
• Headcount: 11-50
• LinkedIn: apurba-technologies-inc

Apurba Technologies Inc, founded in 2009 and based in Sunnyvale, California, is a technology solutions provider that specializes in data science, natural language processing, big data analytics, and machine learning. With a team of 18 employees, the company focuses on delivering advanced analytics solutions primarily to clients in the healthcare and financial sectors. Apurba has developed a robust NLP platform that leverages both proprietary research and open-source technologies, enabling clients to derive actionable insights from complex data sets. Their big data framework, known as 'Big-Data-in-a-Box', is designed to handle high-volume and high-variety data, facilitating improved decision-making processes. The company has successfully completed numerous projects, including innovative applications in healthcare that enhance patient care through better data integration and analysis. Apurba's commitment to advancing data analytics is further evidenced by their portfolio of patents, reflecting their ongoing contributions to the industry.

23. Tiger Analytics

• Website: tigeranalytics.com
• Ownership type: Private
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: India 88%, United States (USA) 8%, Canada 3%, Other 1%
• Founded year: 2011
• Headcount: 5001-10000
• LinkedIn: tiger-analytics

Tiger Analytics, founded in 2011 and based in Santa Clara, California, is an analytics consulting firm that specializes in AI-driven solutions tailored for businesses across multiple industries. With a workforce of nearly 6,000 employees, the company has established a significant presence, particularly in India, where the majority of its team is located. Tiger Analytics provides a comprehensive suite of services, including data strategy, AI engineering, and business intelligence, aimed at enhancing operational efficiency and decision-making for its clients. The firm has developed proprietary tools and frameworks, such as TigerML and Tiger DataSphere, to facilitate rapid deployment of machine learning models and streamline data operations. Their work spans various sectors, including consumer packaged goods, insurance, healthcare, and technology, showcasing their adaptability and expertise in addressing industry-specific challenges. Tiger Analytics has also received accolades for its innovative approaches and contributions to AI strategy consulting, further solidifying its position in the analytics space.

24. Ebiw

• Website: ebiw.com
• Ownership type: Private
• Headquarters: Santa Clara, California, United States (USA)
• Founded year: 2008
• Headcount: 11-50
• LinkedIn: ebiw.com

Ebiw, founded in 2008 and based in Santa Clara, California, is a private data analytics firm that provides advanced analytics solutions and consulting services. The company operates in several sectors, including banking, telecommunications, and retail, helping clients harness the power of data to make informed decisions. Ebiw offers products such as SmartWeld and Generative AI, which are designed to enhance operational efficiency and drive innovation. Their team consists of industry experts with an average of 12 years of experience in data analytics, data mining, and data integration. Ebiw is also an Oracle Gold partner, collaborating on the development of specialized analytics products. Their commitment to training programs further underscores their role in advancing skills in data science and AI, making them a notable player in the data analytics and mining industry.

25. Tibco

• Website: tibco.com
• Ownership type: Private Equity
• Headquarters: Santa Clara, California, United States (USA)
• Employee distribution: India 53%, United States (USA) 23%, France 4%, Other 21%
• Latest funding: $4.3B, September 2014
• Founded year: 1975
• Headcount: 1001-5000
• LinkedIn: tibco

Tibco Software Inc., founded in 1975 and based in Santa Clara, California, is a private equity-owned software company that specializes in enterprise software solutions. The company focuses on real-time data integration and analytics, providing tools that help businesses automate operations and make informed decisions. Tibco serves various industries, including finance and energy, and operates globally, offering its services through a subscription model. Their product suite includes TIBCO Spotfire, a powerful analytics platform, and TIBCO Data Virtualization, which allows organizations to access and analyze data from multiple sources seamlessly. With a workforce of over 2,600 employees, Tibco continues to innovate and adapt to the evolving needs of its clients, ensuring its relevance in the data analytics and mining sectors.

Data Mining Companies Insights: Key Companies in California

Company	Headquarter	Size	Founded	Ownership
Cloudera	Santa Clara, California, United States (USA)	1001-5000	2008	Corporate
Hortonworks	Santa Clara, California, United States (USA)	1001-5000	2011	Corporate
Looker	Santa Cruz, California, United States (USA)	501-1000	2011	Corporate
Neo4j	San Mateo, California, United States (USA)	501-1000	2007	Private Equity
Tredence Inc.	San Jose, California, United States (USA)	1001-5000	2013	Private Equity
NetBase Quid	Santa Clara, California, United States (USA)	201-500	2004	Venture Capital
TigerGraph	Redwood City, California, United States (USA)	201-500	2012	Venture Capital
Kumo	Mountain View, California, United States (USA)	51-200	2021	Venture Capital
DataSkill	San Diego, California, United States (USA)	51-200	1981	Private
GoodData	San Francisco, California, United States (USA)	201-500	2007	Venture Capital
Trifacta	San Francisco, California, United States (USA)	51-200	2012	Corporate
Diffbot	Menlo Park, California, United States (USA)	11-50	2011	Venture Capital
Numerai	San Francisco, California, United States (USA)	11-50	2015	Venture Capital
Rule14 LLC	Santa Monica, California, United States (USA)	11-50	2011	Private
Aible	Pleasanton, California, United States (USA)	11-50	2018	Private
OmniSci	San Francisco, California, United States (USA)	51-200	2013	Private
SteppeChange	Palo Alto, California, United States (USA)	51-200	2011	Private
DNAMIC | Databricks Data Solutions	San Jose, California, United States (USA)	51-200	2014	Private
Sparkflows	San Jose, California, United States (USA)	51-200	2016	Venture Capital
H2O.ai	Mountain View, California, United States (USA)	201-500	2012	Venture Capital
FocusKPI, Inc.	Santa Clara, California, United States (USA)	11-50	2010	Private
Apurba Technologies Inc	Sunnyvale, California, United States (USA)	11-50	2009	Private
Tiger Analytics	Santa Clara, California, United States (USA)	5001-10000	2011	Private
Ebiw	Santa Clara, California, United States (USA)	11-50	2008	Private
Tibco	Santa Clara, California, United States (USA)	1001-5000	1975	Private Equity

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