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 (in order of the most impactful)
#1 Intel Corp. [NASDAQ: INTC] +1
#2 NVIDIA [NASD: NVDA]
#3 SAS – Analytics, BI, and Data Management +3
#4 Domino Data Lab – Data Science Platform +5
#5 Snowflake – Cloud Enterprise Data Warehouse +5
#6 Kinetica – GPU Database +1
#7 Dell EMC [NYSE: DELL]
#8 Google [NASDAQ: GOOGL]
#9 H2O.ai – Open Source Data Science and Machine Learning Platform
#10 Tableau [NYSE: DATA] +3
#11 Teradata [NYSE: TDC] +1
#12 Microsoft [NASDAQ: MSFT]
#13 Databricks
#14 Pure Storage [NYSE: PSTG] +2
#15 DataDirect Networks – AI and Deep Learning Storage +5
#16 AtScale – Connect Anything, Everywhere +2
#17 Cloudera [NYSE: CLDR] +2
#18 HPE [NYSE: HPE]
#19 Anaconda – Python Data Science Platform +2
#20 StreamSets – Continuous Dataflows +2
#21 TIBCO +6
#22 DataRobot – Automated Machine Learning +1
#23 MapR +1
#24 Looker +6
#25 MongoDB [NASDAQ: MDB] +1
#26 Alegion – Human in the Loop AI Training Data Platform +2
#27 Arcadia Data – BI, Big Data Analytics Software +4
#28 TigerGraph – Graph Database and Analytics Platform +4
#29 Cazena – Big Data Platform as a Services +4
#31 Paxata – Self-service Data Prep +3
#32 Loop AI Labs – Cognitive Computing +4
#33 Ople – Engineered Intelligence +5
#34 Guavus – Real-time Big Data Analytics +8
#35 Binah – Automatic Data Science Engine +8
#36 Dremio – Data-as-a-Service Platform NEW
#37 SkyMind – Enterprise Deep Learning +3
#38 Attunity – Data Integration and Big Data Management [NASDAQ CM: ATTU]+6
#39 deepsense.ai – Big Data Science
#40 Sentient – AI Platform +5
#41 Gigaspaces – In-memory Computing Platform NEW
#42 SigOpt – Model Tuning Automation+6
#43 Imaginea AI Inc – AI Ecosystem NEW
#44 Weights & Biases – Visualize ML Performance at Scale
#45 Bottos – Decentralized AI Ecosystem+5
#46 WhereScape – Data Infrastructure Automation NEW
#48 DarwinAI – “AI Building AI” Technology NEW
#49 Numenta – Neuroscience Meets Machine Intelligence NEW
#50 Rulex – AI Platform: Logic-based Approach to Predictive Analytics NEW
Honorable Mention:
Trifacta – Data Wrangling Tools
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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