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Striim
Software Development
Palo Alto, California 18,740 followers
Striim's unified streaming and data integration platform drives data to decisions in real-time
About us
Striim’s unified data integration and streaming platform connects clouds, data and applications with unprecedented speed and simplicity drive data to decisions in real time. Striim specializes in integration from a wide variety of data sources – transaction/change data capture events, log files, application and IoT sensor data – and real-time correlation across multiple streams. With a full blown SQL streaming engine, you can add structure, logic and rules to streaming data. Define time windows for analysis. Detect outliers, visualize events of interest, and trigger alerts and automated workflows – all within milliseconds. Striim is the only non-intrusive, enterprise-strength offering that combines streaming integration and intelligence in a single platform. 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. Respond faster to your customers, make better decisions, and grow your business with Striim.
- Website
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http://www.striim.com
External link for Striim
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Streaming Data Integration, Streaming Operational Intelligence, streaming analytics, change data capture, IoT, and Cloud
Products
Striim
Event Stream Processing (ESP) Software
Real-time data integration built for the cloud. The Striim platform makes it easy to ingest, process, and deliver real-time data across diverse environments in the cloud or on-premise. Striim can ingest real-time data from a variety of sources, including change data from enterprise databases, and rapidly deliver it to on-premise or cloud systems. While the data is moving, it’s easy to process this data, using simple SQL based transformations, to get it into the correct form for the target. Striim provides enterprise grade real-time integration, in a scalable, reliable and secure platform, with real-time monitoring and alerts to provide visibility into your continuous data pipelines. Businesses use Striim’s capabilities to migrate from on-premises databases to cloud environments without downtime, keep cloud-based analytics environments up-to-date, and feed real-time data to their on-premise and cloud data lakes and messaging systems for timely operational decision making.
Locations
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Primary
575 Middlefield Road
Palo Alto, California 94301, US
Employees at Striim
Updates
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How Can Airlines Enhance the Customer Journey with Real-Time Data and AI? ✈️ Using real-time data to empower AI systems can elevate airline customer journeys and boost satisfaction. Customers dislike encountering disruptions when traveling, and leveraging real-time data and AI is an emerging way to ensure customers have the most seamless experience possible. Here’s how airlines can utilize real-time data and AI to enhance the customer journey: 🔧 Predictive Maintenance 📆 Dynamic Scheduling ��� Personalized Customer Services Put real-time data to work to empower the success of your AI systems, and discover what a difference it can make in offering an unforgettable experience for your customers. Check out the blog 👇 https://lnkd.in/ezd_xN6t #airlines #airlinecustomersatisfaction #realtimedata #ai #artificialintelligence #airlinesai
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Striim reposted this
Why is meeting latency requirements critical to successful data integration and streaming? 📊 Without meeting low latency requirements, your organization's data integration and streaming efforts will not succeed. Low latency is crucial for the effectiveness of your initiatives and the ability to make quick, data-driven decisions. Consequences associated with high latency include: 📉 Delays in decision-making 💭 Loss of competitive edge 👀 Operational inefficiencies 👤 Inability to leverage AI/ML to its fullest potential Discover how Striim's CDC technology helps reduces the volume of data to be processed and transmitted, reducing latency. Check out the blog 👇 https://lnkd.in/ejvdGEEY #latencyrequirements #latency #dataintegration #dataintegrationandstreaming #datastreaming #lowlatency
Why Meeting Latency Requirements is Crucial to Successful Data Integration + Streaming
https://www.striim.com
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Why is meeting latency requirements critical to successful data integration and streaming? 📊 Without meeting low latency requirements, your organization's data integration and streaming efforts will not succeed. Low latency is crucial for the effectiveness of your initiatives and the ability to make quick, data-driven decisions. Consequences associated with high latency include: 📉 Delays in decision-making 💭 Loss of competitive edge 👀 Operational inefficiencies 👤 Inability to leverage AI/ML to its fullest potential Discover how Striim's CDC technology helps reduces the volume of data to be processed and transmitted, reducing latency. Check out the blog 👇 https://lnkd.in/ejvdGEEY #latencyrequirements #latency #dataintegration #dataintegrationandstreaming #datastreaming #lowlatency
Why Meeting Latency Requirements is Crucial to Successful Data Integration + Streaming
https://www.striim.com
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Striim reposted this
Monday’s back, and so is our roundup of last week’s can’t-miss content. 🚀 If you haven’t already, check out: 🔍 Real-Time Anomaly Detection in Trading Data Using Striim and One Class SVM Financial markets move fast, and detecting anomalies in real-time is crucial. Here's how to use Striim and One Class SVM to do so. Read the blog: https://lnkd.in/ekkGwr7W 📦 Predictive Analytics in Logistics: Forecasting Demand and Managing Risks Dive into how predictive analytics can assist logistics companies with mitigating risks and forecasting demand. Read the blog: https://lnkd.in/ekxHDsag ❄️ Integrating Striim with Snowflake for Fraud Detection Leveraging Striim and Snowflake enables financial institutions to protect assets and maintain customer trust. Read the blog: https://lnkd.in/e5GXeQqU ⚡️ What's New in Data hosted by John Kutay: Secrets Management Simplified: Insights from Doppler's Brian Vallelunga Discover why a proactive approach to secrets management is critical to fortifying your organization against data breaches. Listen to the new episode: Apple: https://lnkd.in/eadXH9yn Spotify: https://lnkd.in/ekAVn42H Stay tuned this week for blog posts on how airlines can enhance customer journeys with AI and real-time data, fostering innovation with inference applications in real-time analytics, and leveraging inference models for real-time patient monitoring!
5 Reasons Real-Time Data Processing is Crucial for Modern Businesses
https://www.striim.com
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Monday’s back, and so is our roundup of last week’s can’t-miss content. 🚀 If you haven’t already, check out: 🔍 Real-Time Anomaly Detection in Trading Data Using Striim and One Class SVM Financial markets move fast, and detecting anomalies in real-time is crucial. Here's how to use Striim and One Class SVM to do so. Read the blog: https://lnkd.in/ekkGwr7W 📦 Predictive Analytics in Logistics: Forecasting Demand and Managing Risks Dive into how predictive analytics can assist logistics companies with mitigating risks and forecasting demand. Read the blog: https://lnkd.in/ekxHDsag ❄️ Integrating Striim with Snowflake for Fraud Detection Leveraging Striim and Snowflake enables financial institutions to protect assets and maintain customer trust. Read the blog: https://lnkd.in/e5GXeQqU ⚡️ What's New in Data hosted by John Kutay: Secrets Management Simplified: Insights from Doppler's Brian Vallelunga Discover why a proactive approach to secrets management is critical to fortifying your organization against data breaches. Listen to the new episode: Apple: https://lnkd.in/eadXH9yn Spotify: https://lnkd.in/ekAVn42H Stay tuned this week for blog posts on how airlines can enhance customer journeys with AI and real-time data, fostering innovation with inference applications in real-time analytics, and leveraging inference models for real-time patient monitoring!
5 Reasons Real-Time Data Processing is Crucial for Modern Businesses
https://www.striim.com
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Have you considered the importance of secrets management within your organization? 🔐 Join ‘What’s New in Data’ host John Kutay as he discusses all things secrets-management related with Brian Vallelunga, CEO of Doppler. Learn why your business is vulnerable without robust secrets management and how a proactive approach can fortify your organization against data breaches. This episode covers: 🔍 How proper secrets management can reduce the likelihood of breaches 🔍 The consequences of a data breach 🔍 The widespread lack of awareness around efficient secrets management 🔍 How to mitigate the impact of a data breach using solutions like Doppler 🔍 The importance of staying proactive with secrets management 🔗 Tune in now: Spotify: https://lnkd.in/e9ETxGp9 Apple: https://lnkd.in/eadXH9yn
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Register now for an exclusive joint webinar hosted by Striim and SingleStore, designed for organizations in the Middle East eager to harness the power of real-time data. This must-attend event is happening on Tuesday, July 16th at 13:00 UAE / 10:00 UK time. 🌍📊 Discover how businesses in the Middle East are utilizing Striim and SingleStore for seamless real-time data integration and analytics. Learn how sub-second business actions and reactions are achieved as Striim transforms data from source to business value in real-time. 🌟 Key Highlights: 📈 Executive welcome and business context 🚀 Demonstration of end-to-end streaming and transformation ⚡️ Real-world examples of achieving real-time business outcomes in seconds We're excited to see you there! Register now to secure your spot: https://lnkd.in/eFH4pB2z #DataWebinar #RealTimeData #Striim #Singlestore #DataIntegration #Analytics
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What are 5 Can’t-Miss Data Strategies for AI? 🚀 In today's fast-paced marketplace, staying ahead of the competition requires leveraging real-time data to fuel decision-making. The most effective data integration strategies enable your organization to utilize AI in real-time, generating meaningful insights and driving impactful actions. These strategies ensure your AI models receive the most current and accurate data, allowing them to make precise predictions and recommendations. Here’s how real-time data integration is achieved: 💭 Data Ingestion ⚡️ Change Data Capture 📊 Streaming Transformation 💡 Event-Driven Architecture Your team’s ability to maximize the potential of AI hinges on access to real-time, comprehensive data. Learn more by checking out our blog 👇 https://lnkd.in/eAKKP8Dw #dataintegration #realtimedata #striim #dataintegrationandstreaming #artificialintelligence
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How to Integrate Striim with Snowflake for Fraud Detection ❄️ Did you know that the Federal Trade Commission reported $10 billion in losses due to fraud in 2023? Fraud is more widespread than ever before, but Striim and Snowflake can help financial institutions enhance their fraud detection capabilities. Traditionally, financial institutions have faced numerous challenges with fraud detection, including: 📊 Data Volume 💻 Siloed Data Sources 📉 Response Time 👀 Sensitive Data By leveraging Striim and Snowflake, financial institutions can safeguard assets and maintain customer trust. Learn more in our latest blog post 👇 https://lnkd.in/e5GXeQqU #snowflake #striim #frauddetection #finserv #frauddetectionfinserv #finservfraud