Menlo Park, 94025, CA,
United States
Vitria Technology, Inc. Technographics
Vitria Technology, Inc. Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Vitria Technology, Inc. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 Vitria Technology, Inc. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Vitria Technology, Inc. has purchased the following applications: Drift AI Chatbot for Chatbots and Conversational AI in 2019, Apache Spark for Analytics and BI in 2015, Demandbase ABX Cloud for Account Based Marketing in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Vitria Technology, Inc. is running and its propensity to invest more and deepen its relationship with Drift , Apache Software , Demandbase 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 Vitria Technology, Inc. revenues, which have grown to $2.0 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 Vitria Technology, Inc. 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.
Vitria Technology, Inc. Tech Stack and Enterprise Applications
Vitria Technology, Inc. AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Drift | Legacy | Drift AI Chatbot | Chatbots and Conversational AI | AI-Powered Application | n/a | 2019 | 2019 |
In 2019, Vitria Technology, Inc. deployed Drift AI Chatbot on its public website. The deployment introduced Chatbots and Conversational AI capabilities to provide real-time customer engagement and automated conversational lead capture, positioning Drift AI Chatbot as the on-site interface for inbound web sessions.
The implementation focuses on conversational modules such as guided qualification flows, contextual responses tied to page content, and automated handoff to live agents for complex inquiries, aligning with marketing and sales business functions. Operational ownership is centered in marketing and demand generation, with scripted escalation workflows to sales for follow-up, and the chatbot is embedded in web engagement processes to standardize customer interaction handling.
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Vitria Technology, Inc. Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Apache Software | Legacy | Apache Spark | Analytics and BI | Analytics and BI | n/a | 2015 | 2015 |
In 2015, Vitria Technology, Inc. implemented Apache Spark for Analytics and BI to build a real time big data streaming analytics application. Apache Spark served as the core processing engine within an architecture that combined Scala application code, Machine Learning model pipelines, Hive for structured data warehousing, Cassandra for high throughput operational storage, and MapReduce design patterns for batch orchestration.
The implementation organized functional modules into discrete layers, including data ingestion, stream processing, feature engineering, model training and scoring, interactive query support, and long term storage. Apache Spark Streaming and Spark SQL functions were used to unify streaming and batch workloads, while Scala provided the primary application language for pipeline logic and model lifecycle code.
Operationally the solution was deployed on a distributed Spark cluster architecture with master and worker nodes and integrated with a Hive metastore and Cassandra clusters for persistent storage. Integrations with Hive enabled structured query and reporting workflows, while Cassandra supported low latency reads and writes for operational analytics, and Machine Learning pipelines were embedded in the Spark runtime for inline scoring and feature transformation.
Governance changes focused on formalizing data pipeline ownership and operational runbooks for continuous model updates, including staged model promotion and automated job scheduling patterns consistent with MapReduce design practices. The implementation targeted analytics and data engineering teams at Vitria Technology, Inc., and established standardized workflows for pipeline testing, deployment, and metadata management around Apache Spark.
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Vitria Technology, Inc. CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Demandbase | Legacy | Demandbase ABX Cloud | Account Based Marketing | CRM | n/a | 2020 | 2020 |
In 2020, Vitria Technology, Inc. implemented Demandbase ABX Cloud on its public website. The Demandbase ABX Cloud deployment is surfaced through site-level instrumentation to enable account identification, intent detection, and personalized on-site experiences, positioning the solution within Account Based Marketing workflows. The implementation leverages Demandbase ABX Cloud capabilities for account scoring and audience segmentation to support coordinated marketing and sales engagement.
Configuration and operational ownership reside with marketing operations, which manage tag governance, audience segmentation, and campaign orchestration for targeted account outreach. The deployment scope is focused on website-driven engagement and supports marketing and sales activities, with implementation practices aligned to Account Based Marketing workflows. Governance includes ongoing tuning of account lists and consent-aware tag management to maintain site performance and compliance.
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Account Based Marketing | CRM |
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2024 | 2024 |
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CRM | CRM |
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2012 | 2012 |
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Customer Experience | CRM |
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2021 | 2021 |
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Listing Management | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2014 | 2014 |
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Marketing Analytics | CRM |
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2014 | 2014 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Vitria Technology, Inc. IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Vitria Technology, Inc. CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2017 | 2017 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2016 | 2016 |
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IT Decision Makers and Key Stakeholders at Vitria Technology, Inc.
| First Name | Last Name | Title | Function | Department | Phone | |
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Apps Being Evaluated by Vitria Technology, Inc. Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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