TetraScience Funding, Investors & Competitors

Datadog is a cloud-native company that focuses on analyzing machine data. The firm's product portfolio, delivered via software as a service, enables clients to monitor and analyze their entire information technology infrastructure, from servers to applications and Python scripts. Datadog's platform can ingest and analyze large amounts of machine-generated data in real time, allowing clients to utilize it for a variety of applications throughout their businesses to ensure uptime and latency objectives.

Dynatrace is a software-as-a-service company that enables customers to monitor and analyze their information technology infrastructure, from servers to applications and Python scripts. Dynatrace’s unified platform can ingest and analyze large amounts of machine-generated data in real time, allowing clients to optimize their business for service-level objectives and ensure uptime.

ClickHouse is an open-source columnar database management system optimized for real-time analytical queries on large datasets. Developed initially at Yandex and released in 2016, the Moscow-headquartered project now serves global enterprises including eBay, Lyft, and CERN for data warehousing and observability. It supports SQL syntax with sub-second query performance on petabyte-scale data via vectorized execution and data compression. ClickHouse integrates with Kafka, S3, and Grafana, powering applications in fintech, gaming, and telecommunications.

Dataiku is a New York and Paris-headquartered data science platform enabling analytics at scale and enterprise AI deployment. It unites data scientists, analysts, and business users on a collaborative environment with AutoML, MLOps, and governance for models governed under regulations. Customers including Unilever, GE, and Fox News build production AI on AWS, Azure, and on-premises. Founded in 2013, Dataiku supports over 500 organizations globally.

Starburst is a data analytics platform built on open-source Trino query engine and Apache Iceberg for lakehouse architectures. Headquartered in Boston, it enables organizations to query petabyte-scale data across cloud data lakes, databases like PostgreSQL and MongoDB, and Hadoop without data movement. Starburst Galaxy provides a fully managed SaaS service for data discovery, federated queries, and AI workloads. The company serves enterprises in finance, retail, and healthcare, supporting integrations with tools like Tableau and dbt. Founded in 2017 as a commercial outgrowth of Presto, Starburst powers analytics for Fortune 500 clients.

PingCAP is a Beijing-headquartered developer of open-source distributed databases. Its flagship product, TiDB, supports hybrid transactional and analytical processing with horizontal scalability and high availability. TiDB handles both OLTP and OLAP workloads as a NewSQL solution compatible with MySQL protocols. Adopted by companies like Xiaomi and JD.com, PingCAP contributes to cloud-native database ecosystems through TiKV and PD components.

Teradata Corp focused on helping organizations improve business performance, enrich customer experiences, and integrate data across the enterprise. The company's platform provides companies with Harmonized Data: Trusted AI: Teradata VantageCloud: Teradata VantageCore: ClearScape Analytics: and Query Grid. The company generates majority of revenue from the United States.

Business-intelligence of Oriental Nations Corp Ltd is a China-based big data technology company. It has created a big data core for big data collection, aggregation, processing, storage, analysis, mining, application, and management. The products and services of the company include Big data product, Big data operation, and System integration and operation and maintenance.

Devo is a cloud-native logging and security analytics platform processing petabyte-scale data. Cambridge, Massachusetts-headquartered and founded in 2011, it ingests logs from AWS, Azure, and on-premises sources for real-time querying with SQL-like language. Devo supports SIEM, SOAR, and UEBA workflows, serving enterprises in finance and telecom. Backed by investors including TCV and Bessemer, the platform handles billions of events per day.

Neo4j is a US/Sweden-headquartered graph database leader powering analytics on connected data for fraud detection, customer 360 views, knowledge graphs, supply chain optimization, personalization, IoT, and network management. The platform includes native graph storage, vector search, data science tools, visualization, and enterprise security with ACID compliance. Neo4j serves Fortune 500 firms, government agencies, and NGOs worldwide from offices in Malmö, London, and Berlin.

Alation is a Redwood City-headquartered company delivering enterprise data intelligence platforms that excel in data search, governance, stewardship, and cataloging. Launched in 2012, its core product dominates the data catalog sector with a Behavioral Analysis Engine integrating machine learning and collaborative tools for metadata management. Alation serves Fortune 500 clients including Pfizer, Salesforce, and Citigroup, enabling analytics and digital transformation across cloud and on-premises environments in North America, Europe, and Asia.

Monte Carlo is a San Francisco-headquartered data observability platform that detects, diagnoses, and resolves data quality issues for enterprises using Snowflake, Databricks, and BigQuery. The tool monitors over 10 trillion data rows daily across 2,000 customers including JetBlue and IBM. Founded in 2019, Monte Carlo integrates with dbt and Tableau to prevent pipeline failures and ensure reliable analytics.

Firebolt is a Tel Aviv-headquartered cloud data warehouse optimized for sub-second queries on petabyte-scale datasets. It decouples storage and compute for cost-efficient analytics, supporting SQL queries and BI tools like Tableau and Looker. Designed for data-intensive applications, Firebolt ingests data from sources including Snowflake and Kafka. Founded in 2019, it raised funding from investors like Intel Capital and serves enterprises building real-time dashboards and ML pipelines.

Palantir is an artificial intelligence, analytics, and automated decision-making company that leverages data to drive efficiency across its clients' organizations. The firm serves commercial and government clients via its Foundry and Gotham platforms, respectively. Palantir works only with entities in Western-allied nations and reserves the right not to work with anyone that is antithetical to Western values. The company was founded in 2003 and went public in 2020.

Astromech is an artificial intelligence company spun out of Colossal Biosciences, founded by Ben Lamm. It uses AI to analyze biological data and forecast evolution and disease risk, applying its platform to biotech research.

Chai Discovery is a San Francisco-based applied AI research lab, founded in 2024, that builds foundation models to predict and design interactions between biochemical molecules for drug discovery. Its models, including Chai-1, Chai-2, and Chai-3, are used to design molecules such as antibodies for difficult drug targets, with its most recent model achieving a de novo antibody hit rate far above prior computational methods. The company's technology has been used by pharmaceutical partners including Eli Lilly, Pfizer, and Novartis.

Oracle provides enterprise applications and infrastructure offerings through a variety of flexible IT deployment models, including on-premises, cloud-based, and hybrid. Founded in 1977, Oracle pioneered the first commercial SQL-based relational database management system, which is commonly used by the world’s largest companies for high-volume online transaction processing workloads. Besides databases, Oracle also sells enterprise resource planning platforms and cloud infrastructure that play an increasingly important role in large language model training and inferencing.

Databricks is a San Francisco-headquartered cloud platform unifying data engineering, analytics, and AI on a lakehouse architecture. Founded in 2013, it supports Delta Lake for reliable data lakes, MLflow for machine learning lifecycle management, and Unity Catalog for governance across workspaces. The platform powers ETL pipelines, serverless SQL warehouses, and generative AI model deployment for enterprises worldwide, including integrations with AWS, Azure, and Google Cloud.