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.