2023 Readers’ & Editors’ Choice Awards

Every year, BigDATAwire conducts our annual Readers’ Choice Awards to recognize the companies and products that have made a difference in the big data community and provide insight into the current state of the industry. These awards, now in their eighth year, are nominated and voted on by the global Big Data community.

These annual awards are are gaining recognition as being among the most prestigious recognition given by the big data and AI community to its own each year, and are the only awards that provide open voting to a worldwide audience of end users. They are given in the form of both “Readers’ Choice” and “Editors’ Choice.”

Be sure to follow @BigDATAwire for real-time updates, and congratulate our winners using #BigDATAwireRCA23.

Best AI Product: Machine Learning and Data Science Platform

Readers’ Choice:

Databricks Data Intelligence Platform

Editors’ Choice:

DataRobot AI Platform

 

Best AI Product: GenAI/LLM

Readers’ Choice:

OpenAI ChatGPT

Editors’ Choice:

Databricks MosaicML

 

Best Big Data Product: Stream Processing

Readers’ Choice:

Databricks Spark Streaming

Editors’ Choice:

Confluent Cloud

 

Best Big Data Product: Business Intelligence and Data Visualization

Readers’ Choice:

Tableau Creator

Editors’ Choice:

Google Looker

 

Best Big Data Product: Transactional and Operational Database

Readers’ Choice:

MongoDB Atlas

Editors’ Choice:

Redis Enterprise Cloud

 

Best Big Data Product: Analytics Database, Data Lake, and Lakehouse

Readers’ Choice:

Snowflake Data Cloud

Editors’ Choice:

Apache Druid

 

Best Big Data Product: Data Fabric/Data Mesh

Readers’ Choice:

SnapLogic

Editors’ Choice:

Informatica Intelligent Data Fabric

 

Best Big Data Product: Cloud Data Storage

Readers’ Choice:

MinIO

Editors’ Choice:

NetApp Cloud Volumes ONTAP

 

Best Big Data Product: DataOps

Readers’ Choice:

Acceldata Data Observability Cloud

Editors’ Choice:

Alation Data Intelligence Platform

 

Top 3 Big Data and AI Open Source Projects

Readers’ Choice:

Gitlab

Nvidia RAPIDS

Apache Druid

Editors’ Choice:

Deci YOLO-NAS

Databricks Delta Lake 3.0

Apache Arrow

 

Top 3 Big Data and AI Startups

Readers’ Choice:

Starburst

Deci

Airbyte

Editors’ Choice:

Firebolt

Portal26

Nexdata

 

Top 3 Big Data and AI Vendors to Watch

Readers’ Choice:

Databricks

Neo4j

SnapLogic

Editors’ Choice:

dbt Labs

Titanium Intelligent Solutions

BigID

 

Top Big Data and AI Achievement

Readers’ Choice:

Databricks and the Texas Rangers — The Texas Rangers adopted the Databricks Lakehouse Platform to help it analyze the massive streams of unstructured data coming out of motion-capture systems, enabling the professional baseball club to track the movement of players’ joints frame-by-frame as well as analyzing wind, temperature, and humidity data in real time.

Editors’ Choice:

DDN and Helmholtz Munich – The German biomedical research center employed DDN’s EXAScaler parallel filesystem to consolidate and control massive data sets used for building deep learning models, helping to accelerate the flow of data for the purpose of discovering new therapies and preventions for conditions like diabetes, obesity, allergies, and chronic lung diseases.