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The insideBIGDATA IMPACT 50 List for Q2 2019

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We’re in close contact with most of the firms making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List of the most important movers and shakers in our industry. These companies have proven their relevance by the way they’re impacting the enterprise through leading edge products and services. We’re happy to publish this evolving list of the industry’s most impactful companies!

The selected companies come from our massive data set of vendors and industry metrics. Yes, we use machine learning to analyze the industry in a detailed manner to determine a ranking for this list. We’re using a custom RankBoost algorithm adapted specifically for the big data community along with a plethora of propriety data sources. The rankings include an indicator for upward movement in the list and also new companies.

If you’re part of a company that you feel is “impactful” in some critical way please contact us immediately to be added to our database and considered for this list. Companies on the list exhibit technology leadership, strength of offering, proven innovation, positivity of message, quality perception in the enterprise, intensity and frequency of social media buzz, high profile of members of the C-suite, and in the case of public companies: positive financial indicators and stock price, and so much more!

IMPACT 50 LIST for Q2 2019 (in order of the most impactful)

#1 NVIDIA [NASD: NVDA] +1

#2 Intel Corp. [NASDAQ: INTC]

#3 Domino Data Lab – Data Science Platform +1

#4 Snowflake – Cloud Enterprise Data Warehouse +1

#5 H2O.ai – Open Source Data Science and Machine Learning Platform +4

#6 Kinetica – GPU Database

#7 Dell EMC [NYSE: DELL]

#8 Tableau [NYSE: DATA] +2

#9 Databricks +4

#10 Google [NASDAQ: GOOGL]

#11 Teradata [NYSE: TDC]

#12 Microsoft [NASDAQ: MSFT]

#13 SAS – Analytics, BI, and Data Management

#14 AtScale – Connect Anything, Everywhere +2

#15 Pure Storage [NYSE: PSTG]

#16 DataDirect Networks – AI and Deep Learning Storage

#17 Cloudera [NYSE: CLDR]

#18 HPE [NYSE: HPE]

#19 StreamSets – Continuous Dataflows +1

#20 DataRobot – Automated Machine Learning +2

#21 Anaconda – Python Data Science Platform

#22 TIBCO

#23 MapR

#24 Looker

#25 Arcadia Data – BI, Big Data Analytics Software +2

#26 MongoDB [NASDAQ: MDB]

#27 Alegion – Human in the Loop AI Training Data Platform

#28 TigerGraph – Graph Database and Analytics Platform

#29 Cazena – Big Data Platform as a Services

#30 Brytlyt – GPU Database

#31 Paxata – Self-service Data Prep

#32 Loop AI Labs – Cognitive Computing

#33 Ople – Engineered Intelligence

#34 Guavus – Real-time Big Data Analytics

#35 Binah – Automatic Data Science Engine

#36 Dremio – Data-as-a-Service Platform

#37 SkyMind – Enterprise Deep Learning

#38 deepsense.ai – Big Data Science +1

#39 Gigaspaces – In-memory Computing Platform +2

#40 SigOpt – Model Tuning Automation +2

#41 Imaginea AI Inc – AI Ecosystem +2

#42 WhereScape – Data Infrastructure Automation +4

#43 OmniSci – GPU Database +4

#44 DarwinAI – “AI Building AI” Technology +4

#45 Rulex – AI Platform: Logic-based Approach to Predictive Analytics +5

#46 Trifacta – Data Wrangling Tools NEW

#47 Exasol – In-memory Analytic Database NEW

#48 Digitate – AIOps NEW

#49 OpenAI – Ensures AGI benefits all of humanity NEW

#50 Alluxio – Open Source Memory Speed Virtual Distributed Storage NEW

Honorable Mention:

Striim – Real-time Data Integration

AnotherBrain – Paris-based AI Start-up

Contributed by Daniel D. Gutierrez, Managing Editor and Resident Data Scientist of insideBIGDATA. In addition to being a tech journalist, Daniel also is a practicing data scientist, author, educator and sits on a number of advisory boards for various start-up companies. 

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Comments

  1. Victor J Lima says:

    I love it so interesting and inspiring

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