Emerging Big Data Vendors To Know In 2021
As part of CRN’s Emerging Vendors for 2021, here are 17 hot big data startups, founded in 2015 or later, that solution providers should be aware of.
The New Generation Of Big Data Companies
It’s become a bit of a cliché that data is the fuel oil of the digital economy. But there’s no denying that data is a critical component of many business and IT initiatives today, including business analytics, cloud migration and digital transformation.
Businesses and organizations, however, are still struggling to manage, analyze and derive value from the growing volumes of data they collect from their operational systems, their sales and marketing applications, and from outside sources. Some have trouble just identifying what data they have and tracking where it is.
As data volumes grow, collecting, preparing, integrating, managing, analyzing and protecting data is an increasingly complex task. Established companies like Microsoft, Oracle and Amazon Web Services, along with younger companies like Snowflake and Confluent, offer big data products and services to help meet these big data challenges.
As is often the case in the IT industry, however, some of the most innovative big data technologies are being developed by a new generation of startups. As part of CRN’s Emerging Vendors for 2021, here are 17 hot big data startups, founded in 2015 or later, that solution providers should be aware of.
Top Executive: Steven Mih, Co-Founder, CEO
Ahana’s cloud-native managed service for the Presto distributed SQL query engine for Amazon Web Services simplifies the deployment, management and integration of Presto for self-service, SQL analytics for data analysts and scientists.
Top Executive: Adrian Knapp, Founder, CEO
Aparavi’s cloud-based data intelligence and automation platform finds, governs and consolidates distributed data needed for data analytics, machine learning and collaboration tasks, helping transform data into a competitive asset.
Top Executive: Spencer Kimball, CEO
Cockroach Labs develops CockroachDB, a high-performance, cloud-native, distributed SQL database that’s used by companies of all sizes—and the apps they develop—to scale fast, survive anything and thrive everywhere.
Top Executive: Billy Bosworth, CEO
Dremio’s data lake engine delivers data warehouse functionality to cloud data lakes through direct queries for high-performing interactive dashboards and analytics, eliminating the need to copy data into data warehouses.
Top Executive: Nir Livneh, CEO
Equalum is a cloud-agnostic, change data capture-powered data integration platform offering end-to-end data replication, ETL ingestion and batch ingestion within a no-code UI. Equalum orchestrates Apache Spark, Kafka and others within the platform engine.
Top Executive: Brian Platz, Co-Founder, CEO
Fluree’s graph database uses blockchain technology to build every transaction into an immutable, cryptographically secured chain of graph-structured data. Target applications include master data management transformation for supply chain, financial and health-care records management.
Top Executive: Luke Han, Co-Founder, CEO
Kyligence provides an intelligent analytics performance layer between data sources and BI tools, ensuring peak performance, vastly simplified data modeling and sub-second query response time for BI, SQL, OLAP and Excel users.
Top Executive: Barr Moses, Co-Founder, CEO
Mission-critical data used for decision-making and powering digital products must be accurate and reliable. Monte Carlo solves the costly problem of broken data through its fully automated, SOC-2 certified data observability platform.
Top Executive: Sam Naficy, CEO
Prodoscore’s software provides visibility into employee productivity and engagement in the form of a simple score. The system captures and measures thousands of daily activities across cloud-based business apps to provide productivity intelligence.
Top Executive: Kaycee Lai, Founder, CEO
Promethium’s augmented data management system automates the data analytics process by connecting on-premises and cloud data without moving or copying it and automating data preparation, assembly and visualization tasks.
Top Executive: Itamar Ben Hemo, Co-Founder, CEO
Rivery’s cloud DataOps and data management platform gives companies control over their organizational data. Rivery’s approach to DataOps is a generational technology leap that incorporates automation and actionable logic into ETL/ELT processes.
Top Executive: Venkat Venkataramani, CEO
Rockset enables interactive real-time analytics for logistics tracking, security analytics, gaming leaderboards and more. Rockset’s approach makes real-time analytics fast, flexible and easy by indexing every field in structured, semi-structured, geo or time series data.
Top Executive: Serkan Piantino, Co-Founder, CEO
Spell.ML’s machine learning platform for deep learning operations goes beyond traditional machine learning with its capabilities for preparing, training, deploying and managing the full life cycle of machine learning and deep learning models.
Top Executive: Justin Borgman, Co-Founder, CEO
Starburst’s SQL query engine, based on open-source Trino, provides data access and analytics for organizations of all sizes. Starburst queries data across any source, making it instantly actionable for data-driven organizations.
Top Executive: Mike Del Balso, Co-Founder, CEO
Tecton’s data platform for machine learning enables data scientists to turn raw data into the predictive signals that power machine learning models, helping remove the biggest impediment to deploying machine learning in the enterprise.
Top Executive: Ajay Khanna, Founder, CEO
The Tellius decision intelligence platform provides faster insight from data, combining AI- and ML-driven automation with a search interface for ad hoc exploration, allowing users to ask questions of business data across billions of records.
Top Executive: Bill Cook, CEO
Yugabyte offers YugabyteDB, an open-source, high-performance distributed SQL database for building global, internet-scale applications. YugabyteDB serves business-critical applications with SQL query flexibility, high performance and cloud-native agility.