{"id":27346,"date":"2021-10-12T06:00:00","date_gmt":"2021-10-12T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=27346"},"modified":"2023-05-11T14:43:41","modified_gmt":"2023-05-11T21:43:41","slug":"the-insidebigdata-impact-50-list-for-q4-2021","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/10\/12\/the-insidebigdata-impact-50-list-for-q4-2021\/","title":{"rendered":"The insideBIGDATA IMPACT 50 List for Q4 2021"},"content":{"rendered":"
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The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We\u2019re 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\u2019s driving the success of our industry so we\u2019re in a unique position to publish our quarterly IMPACT 50 List<\/strong> of the most important movers and shakers in our industry. These companies have proven their relevance by the way they\u2019re impacting the enterprise through leading edge products and services. We\u2019re happy to publish this evolving list of the industry\u2019s most impactful companies!<\/p>\n\n\n\n

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\u2019re using a custom RankBoost algorithm adapted specifically for the big data community along with a plethora of proprietary data sources. The rankings include an indicator for upward movement in the list and also for companies newly added.<\/p>\n\n\n\n

If you\u2019re part of a company that you feel is \u201cimpactful\u201d in some critical way please contact us immediately to be added to our database in order to be 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!<\/p>\n\n\n\n

IMPACT 50 LIST for Q4 2021 <\/strong>(in order of the most impactful)<\/p>\n\n\n\n

#1 Amazon Web Services<\/a><\/strong> \u2013 Cloud based machine learning, database, container, and storage [NASDAQ: AMZN] [+2]<\/strong><\/p>\n\n\n\n

#2 NVIDIA<\/strong><\/a> \u2013 Inventor of the GPU for AI workloads [NASDAQ: NVDA] <\/p>\n\n\n\n

#3 Google AI<\/strong><\/a> [NASDAQ: GOOGL]<\/p>\n\n\n\n

#4 Microsoft AI<\/strong><\/a> [NASDAQ: MSFT] <\/p>\n\n\n\n

#5 HPE<\/strong><\/a> [NYSE: HPE] [+1]<\/strong><\/p>\n\n\n\n

#6 DataRobot<\/strong><\/a> \u2013 Automated Machine Learning [+1]<\/strong><\/p>\n\n\n\n

#7 Dell Technologies<\/strong><\/a> [NYSE: DELL] [+1]<\/strong><\/p>\n\n\n\n

#8 Intel AI<\/strong><\/a> \u2013 Harnessing silicon designed specifically for AI [NASDAQ: INTC]<\/p>\n\n\n\n

#9 Domino Data Lab<\/strong><\/a> \u2013 Data Science Platform<\/p>\n\n\n\n

#10 Databricks<\/strong><\/a> \u2013 Unified analytics platform [+1]<\/strong><\/p>\n\n\n\n

#11 Teradata<\/strong><\/a> [NYSE: TDC] [+1]<\/strong><\/p>\n\n\n\n

#12 H2O.ai<\/strong><\/a> \u2013 Open Source Data Science and Machine Learning Platform<\/p>\n\n\n\n

#13 TigerGraph<\/strong><\/a> \u2013 Graph database and analytics platform [+1]<\/strong><\/p>\n\n\n\n

#14 OpenAI<\/strong><\/a> \u2013 AI research laboratory [+6]<\/strong><\/p>\n\n\n\n

#15 Snowflake<\/strong><\/a> \u2013 Cloud Enterprise Data Warehouse [NYSE: SNOW] <\/p>\n\n\n\n

#16 Kinetica<\/strong><\/a> \u2013 GPU Database<\/p>\n\n\n\n

#17 SAS<\/strong><\/a> \u2013 Analytics, BI, and data management<\/p>\n\n\n\n

#18 Neo4j<\/a><\/strong> \u2013 Graph database [+3]<\/strong><\/p>\n\n\n\n

#19 Qlik<\/a><\/strong> \u2013 Data Analytics and Data Integration <\/p>\n\n\n\n

#20 Anaconda<\/strong><\/a> \u2013 Python Data Science Platform <\/p>\n\n\n\n

#21 Salesforce Einstein AI<\/strong><\/a> \u2013 Smart CRM assistant [NYSE: CRM] <\/p>\n\n\n\n

#22 OmniSci<\/strong><\/a>\u2013 Massively accelerated analytics and data science<\/p>\n\n\n\n

#23 Cloudera<\/strong><\/a>\u2013 Enterprise scale analytics platform [+1]<\/strong><\/p>\n\n\n\n

#24 Dremio<\/strong><\/a> \u2013 Data-as-a-Service platform [+1]<\/strong><\/p>\n\n\n\n

#25 TIBCO<\/strong><\/a> \u2013 Integration, analytics and event-processing software [+1]<\/strong><\/p>\n\n\n\n

#26 MongoDB<\/strong><\/a> \u2013 Cross-platform document-oriented NoSQL database [NASDAQ: MDB] [+1]<\/strong><\/p>\n\n\n\n

#27 Diveplane<\/a><\/strong> \u2013 AI explainable, auditable, editable [+4]<\/strong><\/p>\n\n\n\n

#28 StreamSets<\/strong><\/a> \u2013 Where DevOps meets data integration<\/p>\n\n\n\n

#29 SQream<\/a><\/strong> \u2013 SQL GPU data warehouse [+1]<\/strong><\/p>\n\n\n\n

#30 Neural Magic<\/a><\/strong> \u2013 No hardware AI, GPU speeds without GPUs [+4]<\/strong><\/p>\n\n\n\n

#31 DataDirect Networks<\/strong><\/a> \u2013 AI and Deep Learning Storage [+4]<\/strong><\/p>\n\n\n\n

#32 Kaskada<\/a><\/strong> \u2013 End-to-end platform for feature engineering and feature serving [+4]<\/strong><\/p>\n\n\n\n

#33 explainX.ai<\/a><\/strong> \u2013 Explainable AI for data scientists [+4]<\/strong><\/p>\n\n\n\n

#34 Fiddler Labs<\/a><\/strong> \u2013 Explainable AI <\/p>\n\n\n\n

#35 cnvrg.io<\/a><\/strong> \u2013 Operating system for ML and AI [+4]<\/strong><\/p>\n\n\n\n

#36 Esri<\/a><\/strong> \u2013 GIS mapping software NEW<\/strong><\/p>\n\n\n\n

#37 Truera<\/a><\/strong> \u2013 Model intelligence platform NEW<\/strong><\/p>\n\n\n\n

#38 Verta<\/a><\/strong> \u2013 AL and ML deployment & operations for data science teams [+3]<\/strong><\/p>\n\n\n\n

#39 Couchbase<\/a><\/strong> \u2013 NoSQL cloud database service [+1]<\/strong><\/p>\n\n\n\n

#40 Cazena<\/strong><\/a> \u2013 Instant AWS data lake [+4]<\/strong><\/p>\n\n\n\n

#41 R2.ai<\/strong><\/a> \u2013 AutoML [+1]<\/strong><\/p>\n\n\n\n

#42 Trifacta<\/strong><\/a> \u2013 Data wrangling tools [+3]<\/strong><\/p>\n\n\n\n

#43 Tecton<\/a><\/strong> \u2013 Data platform for machine learning [+3]<\/strong><\/p>\n\n\n\n

#44 Pinecone<\/a><\/strong> \u2013 Vector database for ML applications NEW<\/strong><\/p>\n\n\n\n

#45 ModelOp<\/a><\/strong> \u2013 Scale and govern enterprise AI [+3]<\/strong><\/p>\n\n\n\n

#46 WANdisco<\/a><\/strong> \u2013 Distributed computing specialists [+1]<\/strong><\/p>\n\n\n\n

#47 Matillion<\/a><\/strong> \u2013 ETL software for cloud data warehouses [+3]<\/strong><\/p>\n\n\n\n

#48 Plotly<\/a><\/strong> \u2013 The front-end for ML and data science models NEW<\/strong> <\/p>\n\n\n\n

#49 Comet<\/strong><\/a>\u2013 Self-hosted and cloud-based meta machine learning platform <\/p>\n\n\n\n

#50 MariaDB<\/a><\/strong> \u2013 Enterprise open source database NEW<\/strong><\/p>\n\n\n\n

HONORABLE MENTION \u2013 65 companies (in alphabetical order):<\/strong><\/p>\n\n\n\n

Actable AI<\/a><\/strong> \u2013 No-code data analytics with deep learning<\/p>\n\n\n\n

Ahana<\/a><\/strong> \u2013 Ahana cloud for Presto<\/p>\n\n\n\n

Alegion<\/strong><\/a> \u2013 Data labeling platform<\/p>\n\n\n\n

Allegro AI<\/a><\/strong> \u2013 DL\/ML open source platform<\/p>\n\n\n\n

Alluxio<\/a><\/strong> \u2013 Open source data orchestration for the cloud<\/p>\n\n\n\n

AnotherBrain<\/strong><\/a> \u2013 Pioneers of organic AI<\/p>\n\n\n\n

Arize AI<\/a><\/strong> \u2013 Real-time observability for AI<\/p>\n\n\n\n

AtScale<\/strong><\/a> \u2013 Cloud OLAP for enterprise analytics<\/p>\n\n\n\n

Beyond Limits<\/a><\/strong> \u2013 Explainable AI<\/p>\n\n\n\n

Brytlyt<\/strong><\/a> \u2013 GPU accelerated analytics platform<\/p>\n\n\n\n

causaLens<\/a><\/strong> \u2013 A machine that predicts the global economy in real-time<\/p>\n\n\n\n

Chatterbox Labs<\/a><\/strong> \u2013 AI model insights for trustworthy & fair AI<\/p>\n\n\n\n

Cockroach Labs<\/a><\/strong> \u2013 Builders of CockroachDB <\/p>\n\n\n\n

Confluent<\/a><\/strong> [NASDAQ: CFLT] \u2013 Stream processing with Apache Kafka<\/p>\n\n\n\n

Cortical.io<\/a><\/strong> \u2013 Natural language understanding <\/p>\n\n\n\n

Coursera<\/a><\/strong> \u2013 Massive open online course (MOOC) provider <\/p>\n\n\n\n

Cubonacci<\/a><\/strong> \u2013 Machine learning lifecycle management<\/p>\n\n\n\n

DataKitchen<\/a><\/strong> \u2013 Enterprise DataOps platform<\/p>\n\n\n\n

Dataloop<\/a><\/strong> \u2013 Image and video annotation <\/p>\n\n\n\n

DarwinAI<\/strong><\/a> \u2013 \u201cAI Building AI\u201d technology<\/p>\n\n\n\n

Deci<\/a><\/strong> \u2013 Deep learning platform<\/p>\n\n\n\n

Deepgram<\/a><\/strong> \u2013 Speech recognition<\/p>\n\n\n\n

Deeplite<\/a><\/strong> \u2013 AI-driven DNN optimizer <\/p>\n\n\n\n

deepsense.ai<\/strong><\/a> \u2013 AI solutions for business<\/p>\n\n\n\n

Digitate<\/strong><\/a> \u2013 AIOps<\/p>\n\n\n\n

Exasol<\/strong><\/a>\u2013 In-memory analytic database<\/p>\n\n\n\n

Faktion<\/a><\/strong> \u2013 Operationalize AI<\/p>\n\n\n\n

Fero Labs<\/a><\/strong> \u2013 Using machine learning to optimize factory production NEW<\/strong><\/p>\n\n\n\n

Gigaspaces<\/strong><\/a> \u2013 In-memory computing platform<\/p>\n\n\n\n

Graviti<\/a><\/strong> \u2013 Data platform to accelerate AI and ML NEW<\/strong> <\/p>\n\n\n\n

GridGain<\/a><\/strong> \u2013 In-memory computing platform<\/p>\n\n\n\n

Guavus<\/strong><\/a> \u2013 Real-time big data analytics<\/p>\n\n\n\n

Gurobi Optimization<\/a><\/strong> \u2013 Mathematical optimization solver NEW<\/strong><\/p>\n\n\n\n

Hailo<\/a><\/strong> \u2013 Specialized deep learning processor for edge devices<\/p>\n\n\n\n

Iguazio<\/a><\/strong>\u2013 Data science platform<\/p>\n\n\n\n

InAccel <\/a><\/strong>\u2013 Application acceleration FPGA orchestrator<\/p>\n\n\n\n

Intuition Machines<\/a><\/strong> \u2013 Deep learning and visual domain machine learning at scale<\/p>\n\n\n\n

Kyligence<\/a><\/strong> \u2013 Intelligent data cloud NEW<\/strong> <\/p>\n\n\n\n

Kyndi<\/strong><\/a> \u2013 Explainable AI platform<\/p>\n\n\n\n

Lightmatter<\/a><\/strong> \u2013 Photonic computing<\/p>\n\n\n\n

Logical Clocks AB<\/strong><\/a> \u2013 Hopsworks, an enterprise platform for AI<\/p>\n\n\n\n

Loop AI Labs<\/strong><\/a> \u2013 Cognitive computing<\/p>\n\n\n\n

Mipsology<\/a><\/strong> \u2013 FPGA machine learning<\/p>\n\n\n\n

Molecula<\/a><\/strong> \u2013 Feature store<\/p>\n\n\n\n

Monte Carlo<\/a><\/strong> \u2013 Data reliability<\/p>\n\n\n\n

Natural Intelligence<\/a><\/strong> \u2013 AI toolkit<\/p>\n\n\n\n

NetApp<\/strong><\/a> \u2013 Accelerated AI data pipelines<\/p>\n\n\n\n

Neuton<\/a><\/strong> \u2013 AutoML – no-code AI NEW<\/strong><\/p>\n\n\n\n

Obviously AI<\/a><\/strong> \u2013 Data science without code<\/p>\n\n\n\n

OctoML<\/a><\/strong> \u2013 Deploy machine learning models<\/p>\n\n\n\n

Peltarion<\/a><\/strong> \u2013 Deep learning cloud platform<\/p>\n\n\n\n

Perceive<\/a><\/strong> \u2013 Ergo edge inference processor<\/p>\n\n\n\n

Prophecy<\/a><\/strong> \u2013 Low code data engineering<\/p>\n\n\n\n

Pure Storage<\/strong><\/a> [NYSE: PSTG] Data storage solutions<\/p>\n\n\n\n

Qeexo<\/a><\/strong> \u2013 AutoML at the Edge<\/p>\n\n\n\n

Qumulo<\/a><\/strong> \u2013 Scale-out storage NEW<\/strong><\/p>\n\n\n\n

Rulex<\/strong><\/a> \u2013 Explainable AI platform <\/p>\n\n\n\n

Run:AI<\/a><\/strong> \u2013 Platform for AI virtualization and orchestration<\/p>\n\n\n\n

Sigmoid<\/a><\/strong> \u2013 Real-time data analytics <\/p>\n\n\n\n

Spell<\/a><\/strong> \u2013 ML and DL platform<\/p>\n\n\n\n

Starburst<\/a><\/strong> \u2013 Analytics engine for data mesh <\/p>\n\n\n\n

Striim<\/strong><\/a> \u2013 Real-time data integration <\/p>\n\n\n\n

Toucan Taco<\/a><\/strong> \u2013 Data storytelling platform<\/p>\n\n\n\n

Tredence<\/a><\/strong> \u2013 Big data analytics <\/p>\n\n\n\n

Yellowbrick<\/a><\/strong> \u2013 Data warehouse for hybrid and multi-cloud environments<\/p>\n\n\n

\n
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Contributed by Daniel D. Gutierrez, Editor-in-Chief 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. <\/em><\/p>\n\n\n\n

Sign up for the free insideBIGDATA newsletter<\/a>.<\/em><\/p>\n\n\n\n

Join us on Twitter: @InsideBigData1 \u2013 https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. We\u2019re 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\u2019s driving the success of our industry so we\u2019re 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\u2019re impacting the enterprise through leading edge products and services. We\u2019re happy to publish this evolving list of the industry\u2019s most impactful companies!<\/p>\n","protected":false},"author":37,"featured_media":20381,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[526,65,115,62,63,64,66,182,68,1054,87,180,1300,67,56,84,1],"tags":[437,324,280,133,264,277,95],"acf":[],"yoast_head":"\nThe insideBIGDATA IMPACT 50 List for Q4 2021 - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2021\/10\/12\/the-insidebigdata-impact-50-list-for-q4-2021\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The insideBIGDATA IMPACT 50 List for Q4 2021 - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"The team here at insideBIGDATA is deeply entrenched in following the big data ecosystem of companies from around the globe. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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