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The insideBIGDATA IMPACT 50 List for Q1 2022

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 proprietary data sources. The rankings include an indicator for upward movement in the list and also for companies newly added.

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 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!

IMPACT 50 LIST for Q1 2022 (in order of the most impactful)

#1 Google AI [NASDAQ: GOOGL] [+2]

#2 Amazon Web Services – Cloud based machine learning, database, container, and storage [NASDAQ: AMZN]

#3 Microsoft AI [NASDAQ: MSFT] [+1]

#4 NVIDIA – Inventor of the GPU for AI workloads [NASDAQ: NVDA]

#5 HPE [NYSE: HPE]

#6 DataRobot – Automated Machine Learning

#7 Intel AI – Harnessing silicon designed specifically for AI [NASDAQ: INTC] [+1]

#8 H2O.ai – Open Source Data Science and Machine Learning Platform [+4]

#9 Databricks – Unified analytics platform [+1]

#10 Dell Technologies [NYSE: DELL]

#11 Domino Data Lab – Data Science Platform

#12 Teradata [NYSE: TDC] [+1]

#13 Salesforce Einstein AI – Smart CRM assistant [NYSE: CRM] [+8]

#14 OpenAI – AI research laboratory

#15 Qlik – Data Analytics and Data Integration [+4]

#16 TigerGraph – Graph database and analytics platform

#17 SAS – Analytics, BI, and data management

#18 Snowflake – Cloud Enterprise Data Warehouse [NYSE: SNOW]

#19 Neo4j – Graph database

#20 Anaconda – Python Data Science Platform

#21 Kinetica – The Database for Time & Space

#22 Cloudera– Enterprise scale analytics platform [+1]

#23 Dremio – Data-as-a-Service platform [+1]

#24 Diveplane – AI explainable, auditable, editable [+3]

#25 TIBCO – Integration, analytics and event-processing software

#26 MongoDB – Cross-platform document-oriented NoSQL database [NASDAQ: MDB]

#27 Kaskada – End-to-end platform for feature engineering and feature serving [+5]

#28 OmniSci– Massively accelerated analytics and data science

#29 DataDirect Networks – AI and Deep Learning Storage [+2]

#30 Fiddler Labs – Explainable AI [+4]

#31 StreamSets – Where DevOps meets data integration

#32 Esri – GIS mapping software NEW

#33 SQream – SQL GPU data warehouse

#34 Verta – AL and ML deployment & operations for data science teams [+4]

#35 Couchbase – NoSQL cloud database service [+4]

#36 Tecton – Data platform for machine learning [+7]

#37 Trifacta – Data wrangling tools [+5]

#38 Neural Magic – No hardware AI, GPU speeds without GPUs

#39 Pinecone – Vector database for ML applications [+5]

#40 Deeplite – AI-driven DNN optimizer NEW

#41 ModelOp – Scale and govern enterprise AI [+4]

#42 Cazena – Instant AWS data lake

#43 WANdisco – Distributed computing specialists [+3]

#44 Neuton – AutoML – no-code AI NEW

#45 Plotly – The front-end for ML and data science models [+3]

#46 Matillion – ETL software for cloud data warehouses [+1]

#47 Comet– Self-hosted and cloud-based meta machine learning platform [+2]

#48 Molecula – Feature store NEW

#49 MariaDB – Enterprise open source database [+1]

#50 Starburst – Analytics engine for data mesh NEW

HONORABLE MENTION – 59 companies (in alphabetical order):

Actable AI – No-code data analytics with deep learning

Ahana – Ahana cloud for Presto

Alegion – Data labeling platform

Alluxio – Open source data orchestration for the cloud

Arize AI – ML observability platform

AtScale – BI & Data & Analytics software

Beyond Limits – Enterprise AI software solutions

Brytlyt – GPU accelerated analytics platform

C3.ai – Enterprise AI NEW

causaLens – A machine that predicts the global economy in real-time

Chatterbox Labs – AI model insights for trustworthy & fair AI

Cockroach Labs – Builders of CockroachDB

Cortical.io – Natural language understanding

Coursera – Massive open online course (MOOC) provider

DataKitchen – Enterprise DataOps platform

Dataloop – Image and video annotation

DarwinAI – “AI Building AI” technology

Deci – Deep learning platform

Deepgram – Speech recognition

deepsense.ai – AI solutions for business

Digitate – AIOps

Exasol– In-memory analytic database

Faktion – Operationalize AI

Fero Labs – Using machine learning to optimize factory production

Gigaspaces – In-memory computing platform

Graviti – Data platform to accelerate AI and ML

GridGain – In-memory computing platform

Guavus – Real-time big data analytics

Gurobi Optimization – Mathematical optimization solver

Hailo – Specialized deep learning processor for edge devices

Iguazio– Data science platform

InAccel – Application acceleration FPGA orchestrator

Intuition Machines – Deep learning and visual domain machine learning at scale

Kyligence – Intelligent data cloud

Kyndi – Explainable AI platform

Lightmatter – Photonic computing

Logical Clocks AB – Feature engineering for MLOps

Loop AI Labs – Cognitive computing

Mipsology – FPGA machine learning

Monte Carlo – Data reliability

Natural Intelligence – AI toolkit

NetApp – Accelerated AI data pipelines

Obviously AI – Data science without code

OctoML – Deploy machine learning models

Peltarion – Deep learning cloud platform

Perceive – Ergo edge inference processor

Prophecy – Low code data engineering

Pure Storage [NYSE: PSTG] Data storage solutions

Qeexo – AutoML at the Edge

Qumulo – Scale-out storage

Rulex – Explainable AI platform

Run:AI – Platform for AI virtualization and orchestration

Sigmoid – Real-time data analytics

Spell – ML and DL platform

Striim – Real-time data integration

Toucan Taco – Data storytelling platform

Tredence – Big data analytics

Truera – Model intelligence platform

Yellowbrick – Data warehouse for hybrid and multi-cloud environments

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. 

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