Palo Alto, 94306-1449, CA,
United States
Firebolt Analytics Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Firebolt Analytics and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 60 Firebolt Analytics employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Firebolt Analytics has purchased the following applications: Microsoft Azure Cloud Services for Application Hosting and Computing Services in 2019, Sentry for Application Performance Management in 2021, Legit Security Platform for Application Security (AppSec) in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Firebolt Analytics is running and its propensity to invest more and deepen its relationship with Microsoft , Amazon Web Services (AWS) , Functional Software or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Firebolt Analytics revenues, which have grown to $6.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Firebolt Analytics intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Cloud Services | Application Hosting and Computing Services | IaaS | n/a | 2019 | 2019 | ||
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Functional Software | Legacy | Sentry | Application Performance Management | ITSM | n/a | 2021 | 2021 | ||
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IT Service Management | ITSM |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
|---|---|---|---|---|---|---|---|---|---|
| Legit Security | Legacy | Legit Security Platform | Application Security (AppSec) | CyberSecurity | n/a | 2025 | 2025 | In 2025, Firebolt Analytics deployed the Legit Security Platform to establish end-to-end visibility across its software development lifecycle, spanning code-to-cloud. The Legit Security Platform was implemented as an Application Security (AppSec) solution to centralize vulnerability detection and remediation for engineering and security teams operating in the United States. The deployment activated core modules including software composition analysis SCA, static application security testing SAST, pipeline scanning, and cloud scanning, with each module configured to feed prioritized findings into a unified risk view. Module usage explicitly included SCA, SAST, pipeline scanning, cloud scanning, and Jira integration to ensure continuous scanning and staged triage across development pipelines. Integrations routed scan outputs into Jira to create ticketed remediation workflows and to align remediation priority with engineering sprint cycles, while pipeline scanning and cloud scanning extended coverage from CI pipelines to runtime cloud workloads. The implementation provided consolidated code-to-cloud telemetry within the Legit Security Platform, enabling security and DevOps teams to trace vulnerabilities through build and deployment stages. Governance was centered on standardized triage and prioritized remediation processes orchestrated through the platform and Jira, shifting operational ownership to engineering and security functions. According to the case study, the implementation delivered broader coverage, shortened triage times, and faster mean time to remediation while centralizing Application Security (AppSec) workflows in the Legit Security Platform. |
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Chatbots and Conversational AI | AI-Powered Application |
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2020 | 2020 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Collaboration | Collaboration |
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2015 | 2015 |
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Online Meeting Scheduling | Collaboration |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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CRM | CRM |
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2020 | 2020 |
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Customer Data Platform | CRM |
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2024 | 2024 |
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Customer Experience | CRM |
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2020 | 2020 |
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Lead Generation | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2023 | 2023 |
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Marketing Automation, Sales Automation | CRM |
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2021 | 2021 |
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Tag Management | CRM |
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2019 | 2019 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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