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
"Striim gives us a single source of truth across domains and speeds our time to market delivering a cohesive experience across different systems." - Neel Chinta
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 benefits does Striim offer for Competitive Intelligence?
Why is Striim the best choice for Funnel Analysis?
How can Striim enhance your Collaboration process?
How efficiently Does Striim manage your Lead Analytics?
19+ more Business Use Cases
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 |
|---|---|
|
Striim gives us a single source of truth across domains and speeds our time to market delivering a cohesive experience across different systems. Testimonial By Neel Chinta |
|
The choice to use Snowflake was part of our platform’s evolution. We needed Striim to complete the vision. Testimonial By Rajesh Raju |
|
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 |
| CUSTOMERS | TESTIMONIALS |
|---|---|
|
Neel Chinta IT Manager Macy's |
Striim gives us a single source of truth across domains and speeds our time to market delivering a cohesive experience across different systems. Testimonial By Neel Chinta |
|
Rajesh Raju Designer Ciena |
The choice to use Snowflake was part of our platform’s evolution. We needed Striim to complete the vision. Testimonial By Rajesh Raju |
|
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 |
Case Studies
CASE STUDY MineralTree
CASE STUDY A nonprofit educational healthcare organization
CASE STUDY Global Financial Data Provider
CASE STUDY A leading supply chain technology provider
CASE STUDY American Airlines
CASE STUDY Leading logistics technology provider (a digital venture within a leading global consulting firm)
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 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 Announces Neon Serverless Postgres Support to Broaden Agentic AI Use Cases with Databricks - TradingView
Striim has added support for Neon, a serverless Postgres database, and integrated with Databricks. This upgrade enables real-time data streaming from Neon to Databricks, optimizing agentic AI and Retrieval-Augmented Generation (RAG) use cases. Enterprises using Postgres can now bridge operational data with Databricks AI workloads, reducing latency and complexity in AI-driven applications.
Striim Expands SQL2Fabric-X to Azure Databricks, Enabling Seamless Real-Time Data Modernization for Databricks Customers - TradingView
Striim has expanded its SQL2Fabric-X integration to support Azure Databricks, allowing organizations to stream operational SQL Server data in real time into Databricks' Lakehouse platform. The solution delivers sub-second data movement, supports change data capture (CDC), inline transformations, and schema evolution, enabling Databricks customers to modernize data pipelines for AI, machine learning, and analytics workloads.
Striim Unveils AI-Powered Data Governance on Google Cloud | IDM Magazine
Striim has launched Sentinel AI and Sherlock AI, two governance AI agents built on Google Clouds Vertex AI. These tools help organizations detect, tag, and protect sensitive data in motion, supporting regulatory compliance and reducing risk. The new features strengthen Striims real-time data integration and governance capabilities for enterprises using cloud platforms.
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
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