Striim Overview
Striim facilitates real-time data integration and streaming, crucial for analytics and business intelligence. The platform builds data pipelines capable of streaming trillions of events instantly, which supports businesses in making timely, data-driven decisions. Striim's versatility is evident in its ability to connect with hundreds of data sources, offering deployment flexibility through Striim Cloud and Striim Platform. This adaptability makes it a preferred choice for Fortune 500 companies across diverse industries. By enabling real-time data flow, Striim enhances the immediacy and accuracy of business insights, directly impacting strategic decision-making and market positioning.
Use Cases
Customers recommend Social Media Analytics, Competitive Intelligence, Funnel Analysis, as the business use cases that they have been most satisfied with while using Striim.
Business Priorities
Improve Efficiency and Enter New Markets Internationally Or Locally are the most popular business priorities that customers and associates have achieved using Striim.
Striim Use-Cases and Business Priorities: Customer Satisfaction Data
Striim works with different mediums / channels such as Website. Offline. Events etc.
Striim's features include Capture Information, Alerts: Popups & Notifications, Dashboard, etc. and Striim support capabilities include AI Powered, 24/7 Support, Chat Support, etc. also Striim analytics capabilities include Analytics, and Custom Reports.
Reviews
"Thanks to Striim we are accelerating our customer insights in Snowflake. Our legacy analytics platform used to take an hour per customer data load and weeks for each new deployment. With Striim we are able to transfer operational data to Snowflake i...n near real time for all customers." - Prashant Soral
Striim, CARTO Platform, Hevo, Skyvia Platform, Phocas, etc., all belong to a category of solutions that help Business Intelligence. Each of them excels in different abilities. Therefore, determining the best platform for your business will depend on your specific needs and requirements.
Striim enables real-time data integration and streaming for analytics and business intelligence. It builds data pipelines to stream trillions of events in real-time.
Popular Business Setting
for Striim
Top Industries
- Telecommunications
- Computer Software
- Consumer Services
Popular in
- Enterprise
Striim is popular in Telecommunications, Computer Software, and Consumer Services and is widely used by Enterprise,
Comprehensive Insights on Striim Use Cases
What makes Striim ideal for Competitive Intelligence?
How does Striim facilitate Funnel Analysis?
How efficiently Does Striim manage your Collaboration?
What benefits does Striim offer for Lead Analytics?
11 buyers and buying teams have used Cuspera to assess how well Striim solved their Business Intelligence needs. Cuspera uses 1886 insights from these buyers along with peer reviews, customer case studies, testimonials, expert blogs and vendor provided installation data to help you assess the fit for your specific Business Intelligence needs.
Customer Testimonials
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
Thanks to Striim we are accelerating our customer insights in Snowflake. Our legacy analytics platform used to take an hour per customer data load and weeks for each new deployment. With Striim we are able to transfer operational data to Snowflake in near real time for all customers. Testimonial By Prashant Soral |
|
Offline data has lots of value, but you can’t affect it. What you can actually affect is the data that just happen in the last 5-10 minutes. You can affect both margin and quality. Quality in network business is very important, company may see you not operating well, it will switch to someone else ...and getting them back is very difficult. |
|
We chose Striim as it provides continuous access to the data in our MySQL database without impacting its performance, and without taking the data out of the Google Cloud environment. Testimonial By Paolo Giangiacomo |
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
Prashant Soral CTO Inspyrus |
Thanks to Striim we are accelerating our customer insights in Snowflake. Our legacy analytics platform used to take an hour per customer data load and weeks for each new deployment. With Striim we are able to transfer operational data to Snowflake in near real time for all customers. Testimonial By Prashant Soral |
|
Leon Shaigorodsky Director of Business Solutions iBasis |
Offline data has lots of value, but you can’t affect it. What you can actually affect is the data that just happen in the last 5-10 minutes. You can affect both margin and quality. Quality in network business is very important, company may see you not operating well, it will switch to someone else ...and getting them back is very difficult. |
|
Paolo Giangiacomo Systems Integration Manager HomeServe |
We chose Striim as it provides continuous access to the data in our MySQL database without impacting its performance, and without taking the data out of the Google Cloud environment. Testimonial By Paolo Giangiacomo |
Case Studies
CASE STUDY Leading logistics technology provider (a digital venture within a leading global consulting firm)
CASE STUDY Global Financial Data Provider
CASE STUDY A leading supply chain technology provider
CASE STUDY American Airlines
CASE STUDY MineralTree
CASE STUDY A nonprofit educational healthcare organization
Video
Striim Overview
Frequently Asked Questions(FAQ)
for Striim
What is Striim?
Striim is a streaming data integration and operational intelligence platform designed to move data continuously and in real-time across on-premises and cloud environments. It combines real-time data integration, stream analytics, and visualization in a single platform.
It continuously ingests a wide variety of semi-structured, unstructured, and structured data, including data from enterprise databases via change data capture. It offers built-in validation, SQL-based stream processing such as filtering, transformations, aggregations, and enrichment, multi-source correlation, complex pattern matching, predictive analytics, and real-time dashboards with alerts.
It specializes in integration from a wide variety of data sources such as transaction change data, events, log files, application, and IoT sensor data along with real-time correlation across multiple streams, allowing clients to respond faster to their customers, make better decisions and grow their business. Streaming data can be enriched with reference/historical data for instant context, at-speed and at-scale. And the entire solution can be built using a SQL-like language.
What is Striim used for?
What are the top features of Striim?
Who uses Striim?
What are Striim alternatives?
Where is Striim located?
Peers used Striim for social media analytics and competitive intelligence
Striim Competitors
Striim Features
- Low
- Medium
- High
| FEATURE | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (34) |
| Analytics | Read Reviews (271) |
| Custom Reports | Read Reviews (294) |
| CAPABILITIES | RATINGS AND REVIEWS |
|---|---|
| AI Powered | Read Reviews (34) |
| Analytics | Read Reviews (271) |
| Custom Reports | Read Reviews (294) |
Software Failure Risk Guidance
?for Striim
Overall Risk Meter
Top Failure Risks for Striim
Striim, Inc News
Striim Introduces MCP AgentLink for Agentic Applications
Striim has launched MCP AgentLink, enhancing AI agent applications by providing secure, compliant data replicas via the Model Context Protocol (MCP). This solution allows enterprises to deploy AI agents with real-time, governed data access without impacting production systems. MCP AgentLink supports multiple data sources and ensures compliance, accelerating AI rollouts and innovation. Available now for Striim Cloud customers, it addresses challenges in AI integration and compliance.
Striim Announces 5.2 - Major Release adds new AI Agents for Predictive ...
Striim has launched version 5.2, introducing AI agents Foreseer and Euclid for predictive analytics and real-time vector embedding. This release enhances real-time data integration with new connectors like Neon serverless Postgres and IBM DB2 z/OS. It supports AI-ready databases and formats like Apache Iceberg, facilitating enterprise modernization and digital transformation.
Jake Bengtson Joins Striim as VP of AI Solutions to Lead the Next Phase ...
Striim has appointed Jake Bengtson as VP of AI Solutions to enhance its AI-ready data infrastructure. With extensive experience in AI strategy from Cloudera, Bengtson will focus on integrating AI solutions with Striim's real-time data capabilities, targeting sectors like healthcare and finance. His role will strengthen Striim's market position and customer alignment in AI-driven initiatives.
Striim Announces Neon Serverless Postgres Support to - GlobeNewswire
Striim has added support for Neon serverless Postgres, enabling high-throughput data ingestion from Neon into Databricks for real-time analytics and rapid data delivery from legacy systems into Neon. This update streamlines data integration for AI and Retrieval-Augmented Generation (RAG) use cases, allowing enterprises to modernize platforms and build vector embeddings within data pipelines.
Striim, Inc Profile
Company Name
Striim, Inc
Company Website
https://www.striim.com/HQ Location
575 Middlefield Road Palo Alto, CA 94301 United States
Employees
51-100
Social
Financials
SERIES C
How can Striim enhance your Social Media Analytics process?