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cambridgesemantics.com

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About Cambridge Semantics

Cambridge Semantics is an enterprise Big Data Management and Exploratory Analytics software company. The vision for Cambridge Semantics is to provide our customers with an open standards based semantic layer along with an enterprise scale information fabric as an overlay that manages common access to all of their organization’s information assets.

Cambridge Semantics Headquarter Location

1 Beacon St 15th Floor

Boston, Massachusetts, 02108,

United States

617-245-0517

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Latest Cambridge Semantics News

Data Fabrics: What CIOs Need to Know

Sep 24, 2021

What is data fabric, and does every enterprise need it? Here's a look at this emerging technology and why it's important. PDF In the enterprise, data is the fuel that generates insights. It drives faster fraud alerts, greater understanding of customers, and deeper dives into potential sources of value for the organization. But harnessing the power of the ever-growing store of data has grown more complex and difficult as the data itself has grown. Today there are more data sources coming from many different places. Some of them may be real time. Some of them are structured and some are unstructured. They are stored on-premises or in the cloud. The data needs to be cleaned and validated and managed before it can be used in analytics and machine learning. It needs to be integrated with the applications that will use it on the front end. Also, all this work behind the scenes needs to be done super-fast. Data fabric is emerging as an integration concept that could potentially come to the rescue. But just what is a data fabric? What is a Data Fabric? In simple terms, a data fabric is a layer of technology that sits between the big pile of all different kinds of data on the one side and the applications that consume that data on the other side and enables them to work together without the need for integrating each individual data stream with each application on the other side. Omdia analyst Bradley Shimmin describes data fabric as an API layer or a data-as-a-service layer. “The fabric depends on a lot of things underneath it being done -- the principles and practices of DataOps ,” Shimmin says. “That’s the juice that makes the engines go.” Maybe in the past, data scientists or data engineers managed and maintained multiple data pipelines to do the same kind of work. Data catalogs are currently shouldering the load here now, Shimmin says. But the growing complexity of enterprise data and the speed with which organizations want to work with that data has driven the demand for this idea of a layer in the middle to manage this work. Great idea, but how real is the idea of data fabric for the typical enterprise organization right now? Hot or Hype? While the concept may be at the top of technology-oriented C-suite executives’ minds right now, data fabric won’t arrive overnight. In the Gartner Emerging Technologies Hype cycle report released Aug. 23, 2021, “data fabric” sits right at the “Peak of Inflated Expectations” (along with Nonfungible Tokens or NFTs, and decentralized identity). Organizations recognize the value of the concept of data fabric. But it’s an emerging technology. Vendors are working on solutions and building components of the data fabric concept into their existing software. Some vendors may offer solutions that incorporate a lot of what data fabric is supposed to do. However, Gartner predicts that data fabric will only reach the “Plateau of Productivity” in five to 10 years. In the meantime, vendors are refining their solutions and enterprises are testing them. It’s very likely that one of an enterprise’s existing vendors is developing some form of data fabric. Forrester identified several vendors in a report it issued last year. Forrester called data fabric “a hot, emerging market,” in its Enterprise Data Fabric Forrester Wave report published in Q2 of 2020. Forrester said the leaders in the market were Talend, Oracle, SAP, Denodo Technology, Cambridge Semantics, and IBM. Strong performers included Qlik, Cloudera, DataRobot, Syncsort, Hitachi Vantara, TIBCO Software, and InfoWorks. Challengers included Informatica and Solix Technologies. In its 2020 Magic Quadrant for Data Integration Tools, Gartner named the following companies as leaders: Informatica, IBM, Talend, SAP , Oracle, Denodo, and SAS. Data Fabric in the Cloud Public cloud players are looking at the market, too. In May, Google announced the preview of Dataplex , which it describes as “an intelligent data fabric that allows organizations to centrally manage, monitor, and govern their data across data lakes, data warehouses, and databases, creating one integrated experience to help automate data management and power analytics at scale.” All these organizations recognize just why that’s important. It’s not for the data itself. It’s about what the data can do for the enterprise. As Gerrit Kazmaier, Google VP and GM for database, data analytics, and Looker, said at an event announcing the technology, “Turning data into ability is the key to digital transformation.” What to Read Next:

Cambridge Semantics Acquisitions

1 Acquisition

Cambridge Semantics acquired 1 company. Their latest acquisition was SPARQL City on January 14, 2016.

Date

Investment Stage

Companies

Valuation
Valuations are submitted by companies, mined from state filings or news, provided by VentureSource, or based on a comparables valuation model.

Total Funding

Note

Sources

1/14/2016

Series A - II

$11.6M

Acquired

1

Date

1/14/2016

Investment Stage

Series A - II

Companies

Valuation

Total Funding

$11.6M

Note

Acquired

Sources

1

Cambridge Semantics Partners & Customers

5 Partners and customers

Cambridge Semantics has 5 strategic partners and customers. Cambridge Semantics recently partnered with U.S. Food and Drug Administration on September 9, 2020.

Date

Type

Business Partner

Country

News Snippet

Sources

9/22/2020

Client

U.S. Food and Drug Administration

United States

U.S. Food and Drug Administration Selects Cambridge Semantics for Data and Analytics Platform.

`` We are excited and proud to be chosen as the data integration platform to accelerate the U.S. Food and Drug Administration 's digital strategy , '' said Chuck Pieper , Chairman , and CEO of Cambridge Semantics Inc .

2

7/16/2020

Client

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10

4/9/2018

Partner

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10

10/1/2015

Partner

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10

12/10/2014

Partner

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10

Date

9/22/2020

7/16/2020

4/9/2018

10/1/2015

12/10/2014

Type

Client

Client

Partner

Partner

Partner

Business Partner

U.S. Food and Drug Administration

Country

United States

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News Snippet

U.S. Food and Drug Administration Selects Cambridge Semantics for Data and Analytics Platform.

`` We are excited and proud to be chosen as the data integration platform to accelerate the U.S. Food and Drug Administration 's digital strategy , '' said Chuck Pieper , Chairman , and CEO of Cambridge Semantics Inc .

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Sources

2

10

10

10

10

Cambridge Semantics Team

7 Team Members

Cambridge Semantics has 7 team members, including current Founder, Chief Technology Officer, Sean Martin.

Name

Work History

Title

Status

Sean Martin

Founder, Chief Technology Officer

Current

Brian D. Owen

Masthead Venture Partners, FIS, Oracle, MapInfo, CAI Software, and r4 Technologies

Chief Executive Officer, President

Current

John O Sullivan

EnvisioNet, PwC, Chemogen, and Masthead Venture Partners

Chief Financial Officer

Current

Marty Loughlin

Senior Vice President

Current

Lee Feigenbaum

Founder

Former

Name

Sean Martin

Brian D. Owen

John O Sullivan

Marty Loughlin

Lee Feigenbaum

Work History

Masthead Venture Partners, FIS, Oracle, MapInfo, CAI Software, and r4 Technologies

EnvisioNet, PwC, Chemogen, and Masthead Venture Partners

Title

Founder, Chief Technology Officer

Chief Executive Officer, President

Chief Financial Officer

Senior Vice President

Founder

Status

Current

Current

Current

Current

Former

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