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Collibra

collibra.com

Founded Year

2008

Stage

Unattributed VC | Alive

Total Raised

$595.9M

About Collibra

Collibra is a data governance and intelligence platform enabling businesses to unlock insights from disparate data sources. Its products include a data intelligence cloud for data observability, data governance, data privacy, and more. It was founded in 2008 and is based in New York, New York.

Headquarters Location

61 Broadway 31st Floor

New York, New York, 10006,

United States

+1 646 893 3042

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ESPs containing Collibra

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Data Management

The data quality monitoring market is focused on providing solutions to ensure that businesses can rely on accurate and reliable data for critical functions such as regulatory compliance, business intelligence, and reporting. This market offers a range of tools and platforms designed to help organizations measure, fix, and use trusted data in their day-to-day operations. It involves continuous mon…

Collibra named as Leader among 15 other companies, including Precisely, Arize AI, and RedPoint Global.

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Expert Collections containing Collibra

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Collibra is included in 6 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,215 items

R

Regtech

1,499 items

Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements in FIs. Regulatory technology helps FIs and regulators address challenges ranging from traditional compliance and risk management to data reporting and transmission.

T

Tech IPO Pipeline

568 items

C

Conference Exhibitors

5,302 items

C

Cybersecurity

5,158 items

F

Fintech

5,152 items

Collibra Patents

Collibra has filed 20 patents.

The 3 most popular patent topics include:

  • Data management
  • Information technology management
  • Machine learning
patents chart

Application Date

Grant Date

Title

Related Topics

Status

4/21/2021

1/31/2023

Machine learning, Data management, Classification algorithms, Machine learning algorithms, Artificial neural networks

Grant

Application Date

4/21/2021

Grant Date

1/31/2023

Title

Related Topics

Machine learning, Data management, Classification algorithms, Machine learning algorithms, Artificial neural networks

Status

Grant

Latest Collibra News

The market for DataOps platform is projected to grow from USD 3.9 billion in 2023 to USD 10.9 billion by 2028, at a CAGR of 23.0%

Jun 2, 2023

Lyon, FRANCE New York, June 02, 2023 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "DataOps Platform Market by Offering, Type, Deployment Mode, Vertical and Region - Global Forecast to 2028" - https://www.reportlinker.com/p06464268/?utm_source=GNW By providing a range of tools and capabilities, the platform enables automation, monitoring, and control of the end-to-end data lifecycle. This centralized approach ensures streamlined operations and efficient collaboration, empowering organizations to effectively utilize and derive value from their data assets. The agile development segment is projected to hold the largest market share during the forecast period By type, the market is divided into agile development, DevOps, Lean Manufacturing.Agile Development in the DataOps platform helps organizations to enhance their ability to respond to changing business needs, improve project visibility and transparency, foster collaboration and innovation, and achieve faster time-to-value for their data initiatives. It empowers teams to efficiently manage data operations, optimize data processes, and deliver actionable insights dynamically and iteratively. During the forecast period, the agile development is anticipated to hold the largest market share. Among offerings, the services segment is anticipated to grow at a highest CAGR during the forecast period Services in a DataOps platform encompass a wide range of functionalities and capabilities designed to facilitate efficient and effective data operations and management.These services are specifically tailored to address the challenges and requirements of handling data throughout its lifecycle. Services in the DataOps platform facilitate decision-making for businesses by integrating efficient AI capabilities, real-time analytics, and insight delivery into the applications. During the forecast period, the services segment is anticipated to grow at the highest CAGR. North America to account for the largest market size during the forecast period During the forecast period, North America is estimated to account for the largest size of the market for DataOps platform.The region has a thriving technology industry that is driving the adoption of DataOps platforms. Many of the world’s leading technology companies are based in North America, and these companies are investing heavily in data infrastructure and analytics capabilities. The emergence of new technologies that make it easier to manage and analyze data is driving the adoption of DataOps platforms in North America. Breakdown of primaries In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the DataOps platform market. • By Company: Tier I: 35%, Tier II: 45%, and Tier III: 20% • By Designation: C-Level Executives: 35%, Directors: 25%, and Others: 40% • By Region: APAC: 30%, Europe: 20%, North America: 45%, Rest of World: 5% The report includes the study of key players offering DataOps platform solutions and services.It profiles major vendors in the global market. The major vendors Microsoft (US), IBM (US), Oracle (US), AWS (US), Informatica (US), Teradata (US), Wipro (India), Accenture (Ireland), SAS Institute (US), Hitachi Vantara (US), DataKitchen (US), Atlan (Singapore), Dataiku (US), Fosfor (India), Databricks (US), StreamSets (US), Talend (US), Collibra (US), Celonis (US), BMC Software (US), Saagie (France), Composable Analytics (US), Tengu.io (Belgium), Unravel Data (US), Monte Carlo Data (US), Census (US), RightData (US), Zaloni (US), Datafold (US), DataOps.live (UK), K2view (Israel). Research Coverage The market study covers DataOps platform across segments.It aims at estimating the market size and the growth potential across different segments, such as offering, type, deployment mode, vertical, and region. It includes an in-depth competitive analysis of the key players in the market, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies. Key Benefits of Buying the Report The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall market for DataOps platform and its subsegments.It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities. The report provides insights on the following pointers: • Analysis of key drivers (increased data complexity and data volumes, rise in need to gain real-time insights, increased demand for cloud solutions, and extensive focus on data-driven insights), restraints (data privacy and security concerns, budget constrain due to high investment), opportunities (need to bridge gap between data engineers and data analysts, need for data teams to keep pace with rapidly changing requirements), and challenges (lack of awareness and understanding of DataOps, need to mitigate the challenges of skilled talent shortage) influencing the growth of the DataOps platform market • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the DataOps platform market • Market Development: Comprehensive information about lucrative markets – the report analyses DataOps platform market across varied regions • Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in DataOps platform market strategies; the report also helps stakeholders understand the pulse of the DataOps platform market and provides them with information on key market drivers, restraints, challenges, and opportunities. • Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as IBM (US), Microsoft (US), Oracle (US), AWS (US) among others in the DataOps platform market.

Collibra Frequently Asked Questions (FAQ)

  • When was Collibra founded?

    Collibra was founded in 2008.

  • Where is Collibra's headquarters?

    Collibra's headquarters is located at 61 Broadway, New York.

  • What is Collibra's latest funding round?

    Collibra's latest funding round is Unattributed VC.

  • How much did Collibra raise?

    Collibra raised a total of $595.9M.

  • Who are the investors of Collibra?

    Investors of Collibra include Snowflake Ventures, Dawn Capital, Index Ventures, Battery Ventures, ICONIQ Capital and 10 more.

  • Who are Collibra's competitors?

    Competitors of Collibra include Talend, Immuta, Select Star, Legit, Alation, Castor, Cribl, Solidatus, Data.World, Datakin and 14 more.

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