Y Combinator is a startup accelerator that provides funding and mentorship to early-stage companies. It offers a program where startups receive guidance from experienced entrepreneurs and investors. The organization helps founders in their business models and develop their products. Y Combinator serves industries such as technology, healthcare, and finance.

Y Combinator

Silicon Badia is a venture capital firm investing in technology companies globally.

Silicon Badia

Bloomberg Beta is an early-stage venture capital firm with $375M under management, capitalized solely by Bloomberg. The fund exists to expand Bloomberg’s horizons by investing in companies built by extraordinary founders that make business work better, with a focus on machine intelligence.

Bloomberg Beta

Trinity Ventures is an early stage venture capital firm dedicated to partnering with passionate entrepreneurs to transform revolutionary ideas into reality. With over $1 billion under management, Trinity Ventures believes in personal engagement, mutual respect and goal alignment with the entrepreneurs. Trinity focuses on early stage and seed technology investments with particular emphasis on social commerce and entertainment, digital media, Saas, and cloud and infrastructure.    Trinity Ventures has invested in such leading companies as Aruba Networks, 21Vianet, Blue Nile, LoopNet, Photobucket, SciQuest, Starbucks, BeachMint, Infoblox, Trion Worlds and Zulily.

Trinity Ventures

Mayfield is a global venture capital firm with a people-first philosophy and a 50+ year track record of inception and investing, partnering with founders to build iconic enterprise, consumer, and engineering biology companies. Since its founding, the firm has invested in more than 500 companies, resulting in 119 IPOs and more than 200 acquisitions, and currently has $2.5B under management.

Mayfield Fund

Battery Ventures is a investment firm that focuses on technology. It invests in potentially, category-defining businesses in markets including application software, IT infrastructure technologies, consumer-internet and mobile services, and industrial technologies.

Battery Ventures

Sapphire is a global software venture capital firm with more than $11 billion in AUM and team members across Austin, London, Menlo Park and San Francisco. For over a decade, Sapphire has partnered with visionary management teams and venture funds to back companies of consequence. Since its founding, Sapphire has invested in more than 170 companies globally resulting in more than 30 Public Listings and 45 acquisitions. The firm’s investment strategies — Sapphire Ventures, Sapphire Partners and Sapphire Sport — are focused on scaling companies and venture funds, elevating them to become category leaders. Sapphire’s Portfolio Growth team of experienced operators delivers a strategic blend of value-add services, tools and resources designed to support portfolio company leaders as they scale.

Sapphire Ventures

Harmony Partners is a highly differentiated venture capital firm that makes expansion stage investments in high growth software, internet and tech-enabled companies. By eliminating the typical deal constraints of traditional growth equity firms around minimum check sizes and ownership percentages, Harmony fills a gap in the market. Founded in New York City in 2010 and investing globally, our team has deployed more than $1 billion in over 100 technology companies over the past 25 years, including Anaplan, AppDynamics, Alation, Arctic Wolf, E*Trade, Iterable, Klaviyo, Maven Clinic, Natera, Postmates, Priceline, SS&C, Swiggy and UiPath. To learn more, please visit www.harmonyvp.com.

Harmony Partners

Mango Capital is a venture capital company. The company prefers to invest in seed/early-stage companies in the enterprise software sector. Mango Capital is headquartered in San Francisco Bay Area, West Coast and was founded in 2018.

Mango Capital

Norwest is a venture capital and growth equity investment firm that specializes in venture and growth equity companies. Since its inception, it has invested in more than 600 companies and partnered with over 140 active companies across our venture and growth equity portfolio. The firm invests in early to late-stage companies across a wide range of sectors with a focus on consumer, enterprise, and healthcare. It offers a deep network of connections, operating experience, and a wide range of impactful services to help CEOs and founders scale their businesses.

Norwest Venture Partners

Sorenson Capital is a leading venture capital firm that invests in product-oriented early and growth-stage B2B software companies in the cybersecurity, application, developer tools & computing infrastructure, and analytics, ML, & AI sectors. Sorenson has over $1.6 billion of assets under management across its early and growth-stage funds. The firm supports entrepreneurs through every stage of their journey to accelerate revenue growth and further their product leadership position. Sorenson’s investments in product leaders include Amplitude, BambooHR, Bridgecrew, Couchbase, Fastly, Harness, and Socure. With offices in Lehi, Utah, and Palo Alto, California, Sorenson is proud to partner with entrepreneurs from coast to canyon. To learn more about Sorenson, please visit: https://www.sorensoncapital.com/.

Sorenson Capital

Citi Ventures utilizes Citi's resources to support individuals, businesses, and communities amid technological changes. Based in San Francisco with offices in New York, London, Palo Alto, Tel Aviv, and Singapore, Citi Ventures focuses on discovering new value by exploring, developing, and investing in innovative ideas, and collaborating with Citi employees, clients, and the broader innovation community.

Citi Ventures

Princeville Capital invests in breakout-stage technology companies and helps them fulfill their global aspirations. Princeville Capital is an investment firm focused on backing rapidly-growing technology-related companies around the world.  We believe that technological innovation is accelerating, and that disruptive business models are propagating faster than ever before, impacting every sector of the global economy. We differentiate ourselves by the value we provide a truly global perspective, and the ability to help our companies successfully implement their international expansion plans. We currently invest out of our two funds, Princeville Global, which focuses on investing in software and internet companies emerging as leaders in their target markets and Princeville Climate, which invests in technology companies with a positive impact on climate change which we call Climate Positive®. Princeville Climate targets both impact and financial returns. We align ourselves with entrepreneurs seeking not only growth capital, but a value-added partner who can help them fulfill their aspirations to create companies of global scale. We have a worldwide network of relationships built over decades of experience in technology, climate change, and capital markets. Collectively we have experience in 65 technology IPOs, 200+ strategic M&A transactions, and climate policy leadership at the U.S. State Department. We have been involved in some of the largest tech success stories globally for the past two decades as well as many of the most consequential international developments in climate, including the Paris Agreement.   With offices in San Francisco, Hong Kong, and Amsterdam, our global focus positions us well to attract unique opportunities and help our companies expand their businesses in the Americas, Asia, Europe and around the world.

Princeville Capital

InfluxData

InfluxData is the creator of InfluxDB, an open-source time series database and platform. The technology is purpose-built to handle the massive volumes of time-stamped data produced by IoT devices, applications, networks, containers, and computers. InfluxData is on a mission to help developers and organizations, such as Cisco, IBM, PayPal, and Tesla, in storing and analyzing real-time data, empowering them to build transformative monitoring, analytics, and IoT applications quickly and to scale.

InfluxData is the creator of InfluxDB, a leading time series platform for storing and analyzing time-stamped data. InfluxDB is designed to handle high write and query loads, making it suitable for various use cases including IoT sensor data, DevOps monitoring, and real-time analytics. The platform offers features like high-speed data ingestion, real-time querying, and flexible data retention policies. In April 2023, InfluxData announced InfluxDB 3.0, a major update rebuilt as a columnar database leveraging Apache Arrow. This version promises significant performance improvements, including 100x faster queries against high cardinality data and 10x higher ingest performance. InfluxDB 3.0 also introduced SQL language support alongside its existing InfluxQL time-based functions.

InfluxData Unveils Future of Time Series Analytics with InfluxDB 3.0 Product Suite

Introducing Amazon Timestream for InfluxDB: A managed service for the popular open source time-series database

What database to use instead of InfluxDB?

InfluxDB Times Series Data Platform

InfluxDB Time Series Data Platform

What InfluxDB Got Wrong

Tools that streamline software development

DevOps Toolchain

InfluxData specializes in time series database technology. Its primary product, InfluxDB, is a purpose-built database designed for handling time-stamped data. The company offers various deployment options for InfluxDB, including cloud-based services (InfluxDB Cloud Serverless and InfluxDB Cloud Dedicated) and self-managed solutions (InfluxDB Clustered and InfluxDB Edge). These products cater to various use cases in observability, real-time analytics, and IoT/IIoT applications.

Data Infrastructure & Analytics

InfluxData avoids ’AI magic bean’s in InfluxDB time series database update for enterprises

Amazon Web Services

The partnership between InfluxDB and AWS, via Amazon Timestream, aims to simplify time-series data analysis on the AWS platform, making real-time insights more accessible to developers and a wider audience.

InfluxData is the creator of InfluxDB, a leading time series platform for storing and analyzing time-stamped data. InfluxDB is designed to handle high write and query loads, making it suitable for various use cases including IoT sensor data, DevOps monitoring, and real-time analytics. The platform offers features like high-speed data ingestion, real-time querying, and flexible data retention policies. In April 2023, InfluxData announced InfluxDB 3.0, a major update rebuilt as a columnar database leveraging Apache Arrow. This version promises significant performance improvements, including 100x faster queries against high cardinality data and 10x higher ingest performance. InfluxDB 3.0 also introduced SQL language support alongside its existing InfluxQL time-based functions.
InfluxData offers multiple product options to cater to different deployment needs. These include InfluxDB Cloud Serverless, a fully-managed elastic service, and InfluxDB Cloud Dedicated, which provides dedicated cloud infrastructure for large-scale workloads. For self-managed deployments, InfluxData offers InfluxDB Clustered for on-premises or private cloud use, and InfluxDB Edge for local or edge deployments.

Sonar is a suite of software quality assurance tools designed to help developers produce clean, secure, and reliable code. The company's flagship product, SonarQube, is an open-source platform for continuous code quality inspection. It performs automated code reviews using static analysis to detect bugs, code smells, and security vulnerabilities across more than 30 programming languages. SonarQube integrates into the development workflow, providing real-time feedback during code reviews and enforcing quality gates to ensure only code meeting predefined standards moves forward in the pipeline.
In addition to SonarQube, Sonar offers SonarCloud, a cloud-based version of the platform, and SonarLint, an IDE extension that provides immediate feedback to developers as they write code. These tools work together to support Sonar's "Clean as You Code" methodology, which aims to maintain high code quality standards throughout the development process. Sonar's solutions go beyond simple error detection, addressing deeper issues that may be overlooked by both human reviewers and AI coding assistants. The platform offers features such as code coverage analysis, duplication detection, and maintainability metrics to provide a comprehensive view of code health.

Sonar Source

<div>
 
 Asana is a cloud-based work management platform that helps teams organize, track, and manage their work. Founded in 2009, Asana provides tools for project and task management, collaboration, and workflow optimization. The platform allows users to create projects, assign tasks, set deadlines, share files, and communicate with team members in real-time. Asana's interface offers multiple views including lists, boards, calendars, and timelines to visualize work in different formats.
 
 
 
 
 Key features of Asana include customizable workflows, automation capabilities, reporting dashboards, and goal tracking. The platform aims to reduce &quot;work about work&quot; - time spent on work coordination rather than core job functions. As of March 2023, Asana reported that knowledge workers were spending 58% of their day on work coordination tasks. To address this, Asana provides tools to streamline processes, automate routine tasks, and improve cross-functional collaboration.
 
 
 
 
 Asana offers both free and paid subscription plans. The free Basic plan includes unlimited tasks, projects, messages and file storage for up to 15 team members. Paid plans start at USD 10.99 per user per month (billed annually) and offer additional features like advanced reporting, custom fields, forms, and admin controls. Asana can be accessed via web browser or mobile apps for iOS and Android.
 
 
 
 
 Key customers and partnerships
 
 
 
 
 
 Asana serves over 135,000 paying customers and millions of free users across more than 200 countries and territories. Notable enterprise customers include Amazon, Affirm, Japan Airlines, and Sky.
 
</div>

Asana

<div>
 
 GitLab is an open-source DevOps platform that provides tools for managing the entire software development lifecycle. Founded in 2011, GitLab offers a Git-based repository management system along with integrated features for continuous integration/continuous delivery (CI/CD), project management, security scanning, and more. The platform allows developers to collaborate on code, track issues, and deploy applications from a single interface. GitLab's core product is a web-based Git repository manager that includes features like issue tracking, analytics, and a wiki. With each commit or push, GitLab enables developers to trigger builds, run automated tests, and deploy code.
 
 
 
 
 GitLab differentiates itself by offering a complete DevOps solution out-of-the-box, with built-in CI/CD capabilities, whereas competitors often require third-party integrations for similar functionality. The platform supports multiple stable branches beyond the master branch, advocating for a workflow that emphasizes reliability over speed. GitLab provides tools for the entire DevOps lifecycle, from planning to monitoring, allowing teams to manage all stages of software development within a single application. As of October 2022, GitLab reported quarterly revenue of USD 113 million with 69% year-over-year growth.
 
 
 
 
 Key customers and partnerships
 
 
 
 
 
 GitLab has gained traction among enterprise customers, with notable users including Goldman Sachs, T-Mobile, and Lockheed Martin. The platform is particularly popular in China, where a 2021 JetBrains survey found that 57% of respondents used GitLab for artifact/repository management, compared to 35% for GitHub. In March 2021, GitLab created a local Chinese company called JiHu to expand its presence in the country. GitLab has also formed partnerships to enhance its offerings, including integrations with platforms like Asana, Jira, Microsoft Teams, Slack, and Gmail. The company's focus on open-source has led to partnerships within that community, offering free enterprise plan features and up to 50,000 CI minutes for organizations or smaller teams working on open-source software.
 
</div>

GitLab

CloudBees provides a software delivery platform for enterprises, enabling them to continuously innovate and deliver software at scale. Founded in 2010, CloudBees offers a suite of products that automate and streamline the entire software development lifecycle, from continuous integration and continuous delivery (CI/CD) to release orchestration and feature management. At the core of CloudBees' offerings is CloudBees CI, built on Jenkins, the widely-used open-source automation server. CloudBees CI provides flexible, governed CI/CD capabilities for enterprises.
The company's product portfolio also includes CloudBees CD for release orchestration and automation, CloudBees Feature Management for progressive delivery and feature flagging, and CloudBees Software Delivery Automation (SDA) which combines CI, CD, release orchestration and feature management into an integrated platform. CloudBees SDA aims to connect tools and functions across development, operations and shared services teams to optimize the software delivery process. In September 2022, CloudBees acquired ReleaseIQ to expand its DevSecOps capabilities with a low-code release orchestration and visibility solution.
CloudBees' platform is designed to address the needs of modern software development organizations adopting CI/CD and DevOps practices. It provides capabilities for unified governance, visibility, security compliance, and risk mitigation in software delivery. The platform can be deployed on-premise or in major public cloud environments, offering flexibility to support diverse software portfolios including classic, client-server, containerized, web, mobile, IoT and embedded applications.

CloudBees

BigPanda is a company specializing in Artificial Intelligence for IT Operations (AIOps). Founded in 2012 by Assaf Resnick and Elik Eizenberg, BigPanda offers an AI-powered platform that helps IT Operations, Network Operations Center (NOC), and DevOps teams detect, investigate, and resolve IT incidents more efficiently. The company's core product is an Incident Intelligence and Automation Platform that leverages machine learning to correlate alert data streams from various infrastructure, applications, and services into actionable incidents.
BigPanda's platform aims to reduce the noise in IT alerts, improve the signal-to-noise ratio, and automate incident management processes. It integrates with various IT tools and systems, including ticketing systems, ITSM tools, incident response tools, and collaboration platforms. The company's Open Box Machine Learning technology enables customers to achieve high correlation rates on alert volumes, typically reducing millions of IT events to a manageable number. The company claims that its median customer realizes an 80% event noise reduction within the first eight weeks of implementation.
The platform offers features such as alert aggregation, event correlation, root cause analysis, and automated incident triage. It also provides unified analytics dashboards for end-to-end visibility of IT environments. BigPanda's solution is designed to help organizations reduce mean-time-to-resolution (MTTR) of IT incidents, improve service availability, and support digital transformation initiatives. The company operates on a Software-as-a-Service (SaaS) model, eliminating the need for on-premises installations.

BigPanda

Platforms that help companies with software development workflows such as analyzing requirements, planning development schedules, and building roadmaps.

Desktop and web applications for writing code, which also offer features for intelligent auto-complete and code generation capabilities using AI. This segment also include platforms that provide tools for version control and hosting code.

Platforms to automate software deployment into production environments that are hosted either on-premise or on the cloud, along with feature management capabilities that help developers control the availability of features in an application.

Platforms for developers to monitor running software and track processes; helping identify crashes and errors and resolve them.

Platforms to test and debug software, which also feature AI-based tools to automate testing workflows.

Companies that use GenAI as a core part of their product offering for DevOps

Platforms offer AI-based code completion and other tools to help automate testing workflows

Uses generative AI for code completion and generation features offered by certain code editors

Its platforms are available under a B2B SaaS model

InfluxData specializes in time series database technology. Its primary product, InfluxDB, is a purpose-built database designed for handling time-stamped data. The company offers various deployment options for InfluxDB, including cloud-based services (InfluxDB Cloud Serverless and InfluxDB Cloud Dedicated) and self-managed solutions (InfluxDB Clustered and InfluxDB Edge). These products cater to various use cases in observability, real-time analytics, and IoT/IIoT applications.As a storage platform, InfluxDB provides a scalable solution for storing and analyzing time series data. The release of&nbsp;<a href="https://sp-edge.com/updates/33367">InfluxDB 3.0</a> supports unlimited cardinality and can handle metrics, events, and traces in a single data store. It uses the Apache Parquet file format for efficient data compression and storage. InfluxDB offers different pricing tiers based on deployment type. The cloud-based InfluxDB Cloud Serverless operates on a pay-as-you-go model with a free tier, while InfluxDB Cloud Dedicated provides a capacity-based pricing model for larger workloads requiring dedicated infrastructure. The self-managed InfluxDB Clustered option is priced-based on the total CPU/RAM in the configuration, offering enhanced control and security for on-premises or private cloud deployments.Key customers and partnershipsIn June 2024, InfluxData partnered with Amazon Web Services (AWS) to launch Amazon Timestream for InfluxDB. This collaboration aimed to provide a managed service for the open-source InfluxDB time series database on AWS, allowing AWS customers to run InfluxDB natively within the AWS Management Console and offering AWS infrastructure scalability, reliability, and security without the need for self-management.&nbsp;

Fivetran is a cloud-based automated data integration platform that enables businesses to move data from various sources, including SaaS applications, databases, and files, into data warehouses, data lakes, and other destinations. The company's platform offers multiple deployment models to meet diverse business needs, ranging from stringent security requirements to maintaining on-premises databases even after partial cloud migration.The company's data movement platform is designed to automate and streamline the process of extracting, loading, and transforming (ELT) data, empowering organizations to focus on data-driven insights and decision-making. With real-time analytics, database replication, AI workflows, and cloud migrations facilitated by Fivetran, thousands of customers worldwide can leverage the platform to drive business growth.Fivetran's core offering revolves around its connector library, which supports over 500 data sources, including SaaS applications, databases, ERPs, and files. These connectors enable automatic, reliable, and secure data movement, regardless of whether the data resides on-premises, in the cloud, or in a hybrid environment. The platform's scalable architecture allows businesses to seamlessly add or remove data sources as their needs evolve.To enhance the usability and accessibility of the ingested data, Fivetran employs a normalized schema approach. By delivering data in a normalized format, the platform enables customers to remix and reshape the data according to their specific requirements, facilitating efficient data analysis and reporting. Additionally, Fivetran offers pre-built data models and dbt Core integration, empowering customers to create analytics-ready tables tailored to their business use cases, such as analyzing deal opportunities from Salesforce, generating general ledger reports from QuickBooks data, or evaluating return on ad spend across advertising platforms.In <a href="https://sp-edge.com/updates/30203">June 2024</a>, the company launched Managed Data Lake Service to simplify the process of managing data lakes for businesses of any size. Key benefits include the ability to centralize data for insights and convenience. Furthermore, it reduces costs by discontinuing support for legacy data warehouses.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33748">Fivetran introduced "Hybrid Deployment",</a> allowing customers to run data pipelines within their environment while managing them through Fivetran's platform. This solution enables enterprises to securely centralize data from various sources, including cloud-based SaaS apps and legacy databases. Fivetran claims Hybrid Deployment offers full visibility of all pipelines from a single interface, enhanced data security, and simplified setup and maintenance.Key customers and partnershipsOver the years, Fivetran has attracted a diverse range of customers across various industries, including ecommerce, finance, technology, and media. Notable clients include Autodesk, Conagra Brands, JetBlue, Lionsgate, Morgan Stanley, and Ziff Davis, among others. These companies leverage Fivetran's platform to streamline their data integration workflows, optimize their analytics capabilities, and gain a competitive edge through data-driven decision-making.To further enhance its offerings and enable seamless integrations, Fivetran has established strategic partnerships with various technology providers, including data warehousing solutions, cloud platforms, and business intelligence tools. For instance, Fivetran collaborates with Databricks, enabling customers to build an open lakehouse with Delta Lake powered by the Databricks Data Intelligence Platform. Additionally, Fivetran's integration with Unity Catalog provides out-of-the-box governance and security for Fivetran-generated tables.

Fivetran

<div>
 
 Domo is a cloud-based analytics platform that enables businesses to connect, transform, and visualize data from various sources. It provides a comprehensive solution for data management, analysis, and visualization, empowering organizations to make data-driven decisions. Domo's platform is designed to foster collaboration, efficient decision-making, and improved business outcomes through its user-friendly interface and powerful data manipulation capabilities.
 
 
 Domo's key offerings include data integration, data warehousing, business intelligence (BI), and intelligent applications. The platform leverages its Adrenaline engine and offers over 1,000 pre-built connectors to extract data from cloud applications, databases, spreadsheets, and other sources. This data is then stored in Domo's internal data warehouse or accessed through federated queries, enabling users to analyze and visualize it using Domo's extensive collection of visualization tools and dashboards.
 
 
 Domo&rsquo;s user experience is designed to be intuitive and accessible, fostering high adoption rates across organizations. Its user-friendly interface, seamless collaboration features, and mobile-first approach contribute to its widespread adoption and ease of use. Domo's platform is built for speed and scalability, allowing organizations to quickly access and analyze even large datasets without experiencing performance issues.
 
 
 Key customers and partnerships
 
 
 Domo serves over 2,300 customers across various industries, including major enterprises such as eBay, Walmart, Cisco, Citibank, HP, The National Geographic Society, Verizon, US Army, Vanguard, Microsoft, IBM, Thomson Reuters, Airbus, Orange, AT&amp;T, Caterpillar, Volvo Cars, and Comcast.
 
 
 The platform has been widely adopted by organizations seeking to leverage data for better decision-making, improved customer insights, and enhanced marketing analytics. Domo has formed strategic partnerships with companies like Regional One Health and Torchy's Tacos, enabling them to leverage Domo's capabilities for healthcare metrics and finance applications, respectively.
 
</div>

Domo

Founded in 2014, Confluent, Inc. is a technology company headquartered in Mountain View, California. The company specializes in data streaming platforms, primarily based on Apache Kafka, an open-source project created by Confluent's founders while working at LinkedIn. Confluent offers two main products: Confluent Platform, an on-premise solution, and Confluent Cloud, a fully managed SaaS. These products help organizations harness real-time data streams for various applications, including microservices, Internet of Things (IoT), financial services, fraud detection, and customer analytics.Confluent's primary offering in data infrastructure services is its integration solution, which enables organizations to unify data from disparate sources. The Confluent Platform and Confluent Cloud act as clients' central nervous systems, allowing them to connect various IT systems and applications to capture and process real-time data streams. This capability enables businesses to make decisions based on continuously flowing data.In September 2024,&nbsp;<a href="https://sp-edge.com/updates/33818">Confluent announced upgrades to its Confluent Cloud</a> product, enhancing support for Apache Flink. The updates include support for the Table API, simplifying development for Java and Python users, and private networking support to improve data security. These upgrades aimed to simplify Flink deployments, enhance security, and make it easier for organizations in regulated industries to stream data and integrate it into applications.Key customers and partnershipIn December 2023, Confluent expanded partnerships with MongoDB, Pinecone, Rockset, Weaviate, and Zilliz as part of its "Data Streaming for AI" initiative. These partnerships aimed to provide real-time contextual data from Confluent's platform to partners' vector databases, facilitating the development of AI-powered applications.

Confluent

<div>
 
 dbt Labs provides an open source data transformation tool that uses analytics engineering. It is aimed at programmers with knowledge of SQL to develop models with SELECT statements, test and document each model, and install safely with Git-enabled version control. The software enables the user to develop faster, work from the same assumptions, deploy with confidence, and&nbsp; ensure low risk with governance and safety. The company also offers dbt Core, which is an open source software for analytics engineers, and dbt Cloud Enterprise for secure, reliable access to data. JetBlue and Domain are some of its clients.
 
 
 
</div>

dbt Labs

Starburst provides an analytics engine that enables organizations to access and analyze distributed data without moving it from its source location. The company's platform is built on Trino (formerly known as Presto), a distributed SQL query engine designed for running interactive analytics queries across various data sources. The platform allows users to query data across multiple databases, data lakes, and data warehouses simultaneously, eliminating the need for costly and time-consuming data centralization. In February 2023, Starburst introduced Warp Speed, a smart indexing and caching solution that accelerates queries up to 7x faster by autonomously identifying and caching frequently used data. The company's software includes two main offerings: Starburst Enterprise for self-managed deployments and Starburst Galaxy, a Software-as-a-Service (SaaS) solution launched in 2021 that enables data lake and cross-cloud analytics. In February 2022, Starburst reported tripling its customer base and annual recurring revenue in the previous 12 months.
Key customers and partnerships
Starburst's platform is used by organizations including Zillow, Standard Chartered, Carrefour Brazil, Comcast, DoorDash, VMware, and Condé Nast. The platform helped Priceline reduce data storage costs by 5-10x while AssuranceIQ achieved a 10% increase in conversion rates. Starburst had established partnerships with major cloud platforms including AWS, Azure, Google Cloud Platform, Alibaba Cloud, Red Hat, and HPE. The company also partnered with Red Hat as one of the inaugural members of the Red Hat OpenShift Data Science ecosystem.

Starburst

Solutions to unify data from disparate sources by extracting, transforming, loading, and storing data in a usable form (such as in data warehouses) for further analysis.

Tools to monitor data for quality issues in real-time, as it moves throughout the data pipeline.

Providers of storage solutions that help accelerate data analytics. These include primary storage solutions, such as data warehouses and data lakes, and secondary storage solutions for non-mission-critical data.

Solutions that enable businesses to carry out data processing and create ML models on the underlying data for predictive analysis.

Tools for enterprises to visualize data in a graphical form and obtain insights on the same using AI and natural language processing.

Companies that use GenAI as a core part of their product offering for data infrastructure & analytics.

Leverages GenAI to help organizations extract insights and supports GenAI application development through data preparation

Offers data analytics and storage platforms for business under a B2B SaaS model

These are tools that help prepare data for AI/ML applications

PROMINENT_CATEGORY

<div>

 InfluxData, creator of InfluxDB, announced updates to its InfluxDB 3.0 product suite, introducing more deployment options and observability features. The updated version enhances performance, including support for unlimited cardinality, faster data ingestion, and better data compression through native object storage. InfluxDB 3.0 is designed for high-cardinality use cases like real-time analytics, observability, and IoT/IIoT. It further supports the processing of columnar data with unlimited values, enhancing query scalability and reducing latency.

The company also launched InfluxDB Clustered, a self-managed version of its time series database, along with InfluxDB Cloud Dedicated, which is a fully managed database-as-a-service. Both options have fixed-rate pricing based on the number of virtual machines and data storage, designed for applications that require high-performance data processing at consistent pricing. Established in 2013, InfluxData specializes in collecting, storing and analyzing time-stamped data at scale.

</div>

InfluxData

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