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The insideBIGDATA IMPACT 50 List for Q4 2018

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 (for Q4, we’ve added a couple of new data sources for increased precision). Now our rankings include an indicator for upward ranking movement 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 (in order of the most impactful)

#1 NVIDIA [NASD: NVDA]

#2 Intel Corp. [NASDAQ: INTC] +1

#3 H2O.ai – Open Source Data Science and Machine Learning Platform

#4 Dell EMC [NYSE: DVMT]

#5 Google [NASDAQ: GOOGL]

#6 SAS – Analytics, BI, and Data Management

#7 Kinetica – GPU Database +1

#8 Microsoft [NASDAQ: MSFT]

#9 Domino Data Lab – Data Science Platform +1

#10 Snowflake – Cloud Enterprise Data Warehouse

#11 Databricks

#12 Teradata [NYSE: TDC] +1

#13 Tableau [NYSE: DATA]

#14 Hortonworks [NASDAQ: HDP] M&A

#15 HPE [NYSE: HPE]

#16 Pure Storage [NYSE: PSTG]

#17 BlueData – Big-Data-as-a-Service +3

#18 AtScale – Connect Anything, Everywhere

#19 Cloudera [NYSE: CLDR] M&A

#20 DataDirect Networks – AI and Deep Learning Storage +1

#21 Anaconda – Python Data Science Platform

#22 StreamSets – Continuous Dataflows

#23 DataRobot – Automated Machine Learning

#24 MapR +3

#25 Brytlyt – GPU Database +4

#26 MongoDB [NASDAQ: MDB] +4

#27 TIBCO +4

#28 Alegion – Human in the Loop AI Training Data Platform +6

#29 Zaloni – Data Lake Solutions

#30 Looker +2

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

#32 TigerGraph – Graph Database and Analytics Platform +9

#33 Cazena – Big Data Platform as a Services +16

#34 Paxata – Self-service Data Prep +16

#35 Trifacta – Data Wrangling Tools +12

#36 Loop AI Labs – Cognitive Computing

#37 deepsense.ai – Big Data Science

#38 Ople – Engineered Intelligence

#39 SparkBeyond – Accelerating Breakthroughs

#40 SkyMind – Enterprise Deep Learning +3

#41 Weights & Biases – Visualize ML Performance at Scale +3

#42 Guavus – Real-time Big Data Analytics NEW

#43 Binah – Automatic Data Science Engine

#44 Attunity – Data Integration and Big Data Management [NASDAQ CM: ATTU]

#45 Sentient – AI Platform +1

#46 OmniSci – GPU Database NEW

#47 BigML – Machine Learning Platform +1

#48 SigOpt – Model Tuning Automation

#49 Noodle.ai – Enterprise AI System

#50 Bottos – Decentralized AI Ecosystem NEW

Honorable Mention:

Imaginea AI Inc – AI Ecosystem

Dremio – Data-as-a-Service Platform

 

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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