BigDATAwire Reveals Winners of 2024 Readers’ and Editors’ Choice Awards

SAN DIEGO, Dec. 9, 2024 — BigDATAwire (formerly Datanami), the leading publication covering big data, analytics, and AI news, today announced the winners of its ninth annual Readers’ and Editors’ Choice Awards. The awards recognize the companies and products that made a difference in the big data community in 2024 and provide insight into the current state of the industry.

BigDATAwire has designated two categories of awards: (1) Readers’ Choice, where winners have been elected by a global community of readers, and (2) Editors’ Choice, where winners have been selected by BigDATAwire editors. The process started with an open nomination process, with voting taking place for 30 days.

“I’m thrilled to announce the winners of the 2024 Readers’ Choice Awards,” said BigDATAwire Managing Editor Alex Woodie. “This year has been filled with exciting developments from the big data, advanced analytics, and AI communities, and it’s my honor to give these vendors the recognition they deserve.”

These awards, now in their ninth year, 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.

More information on these awards can be found at the BigDATAwire website at www.bigdatawire.com/2024-readers-choice-awards.

The 2024 BigDATAwire Readers’ And Editors’ Choice Award Winners Are:

Best AI Product: Generative AI

• Readers’ Choice: Vectara Platform
• Editors’ Choice: Scale AI’s Scale Data Engine

Best AI Product: Machine Learning and Data Science Platform

• Readers’ Choice: Databricks Data Intelligence Platform
• Editors’ Choice: Dataiku

Best Big Data Product: Data Catalog / Security / Governance

• Readers’ Choice: Pentaho Data Catalog
• Editors’ Choice: Collibra Data Intelligence Platform

Best Big Data Product: Data Fabric / Data Mesh

• Readers’ Choice: TIBCO Platform
• Editors’ Choice: Coalesce

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

• Readers’ Choice: Dremio Unified Lakehouse Platform
• Editors’ Choice: Starburst Galaxy

Best Big Data Product: Business Intelligence and Data Visualization

• Readers’ Choice: Tableau
• Editors’ Choice: Microsoft PowerBI

Best Big Data Product: Storage

• Readers’ Choice: MinIO
• Editors’ Choice: Hammerspace Global Data Platform

Best Big Data Product: DataOps and Observability

• Readers’ Choice: Honeycomb Observability Platform
• Editors’ Choice: Cribl Cloud

Best Big Data Product: Stream Processing

• Readers’ Choice: Databricks Data Intelligence Platform
• Editors’ Choice: Confluent Cloud

Best Big Data Product: Transactional and Operational Database

• Readers’ Choice: MongoDB
• Editors’ Choice: YugabyteDB

Top 3 Big Data and AI Open Source Projects to Watch

• Readers’ Choice: Apache Iceberg, Apache Flink, and Apache Polaris
• Editors’ Choice: DuckDB, Apache Pinot, and National Data Platform

Top 3 Big Data and AI Vendors to Watch

• Readers’ Choice: NVIDIA, Databricks, and AWS
• Editors’ Choice: Confluent Cloud, Huggingface, and Snorkel AI

Top Big Data and AI Achievement

• Readers’ Choice: Apache Iceberg emerges as defacto standard for open table formats – In June 2024, Databricks announced the acquisition of Tabular, the commercial venture behind Apache Iceberg, which signaled to the market that Iceberg had won the battle of the open table formats. This was a big win for open data and for customers’ ability to query data using whatever engines they wanted.
• Editors’ Choice: NIMs unveiled by Nvidia – In March 2024, Nvidia announced the launch of Nvidia Inference Microservices (NIM), which it touted as a standardized way to bundle everything a user needs to deploy a generative AI application, including AI models, integration code, into preconfigured Kubernetes Helm charts. The industry responded by building hundreds of pre-built NIM offerings.

About BigDATAwire

BigDATAwire (formerly “Datanami,”) is a news site and weekly newsletter covering the tools, technologies, and techniques that unlock value from big data, as well as the people and communities that develop and use them. Today’s data science, advanced analytics, and AI offerings have evolved quickly, but effective data management remains a bottleneck for many organizations, especially when it comes to ensuring privacy, security, and governance in line with emerging regulations. Now in its thirteenth year, BigDATAwire covers both the enterprise and sci-tech segments, which have many overlapping challenges and use cases.

Source: TCI Media