Striim

Overview

Striim is a real-time data integration and streaming platform designed for enterprises to collect, process, and deliver data from both on-premises and cloud sources. Founded by leaders from notable companies, it aims to make data immediately useful, facilitating the transition from legacy systems to modern cloud environments. The platform is scalable and reliable, featuring in-memory processing, failover, and security measures.

This end-to-end platform provides real-time data pipelines with capabilities such as change data capture, continuous queries, and data visualization. Supporting a wide variety of data sources and targets, Striim enables organizations to handle large data volumes with minimal latency. It serves industries including financial services, healthcare, retail, logistics, and telecommunications, offering real-time analytics to improve decision-making and operational efficiency.

Basic Information

Contact Details

• Phone: +1 650-241-0680
• Website: striim.com
• LinkedIn: linkedin.com/company/striim

Key Focus Areas & Initiatives

• Streaming data integration
• Streaming operational intelligence
• IoT
• Cloud data unification
• Change data capture
• Streaming analytics
• Realtime data
• Enterprise software
• AI and ML integration
• Enterprise data security
• Streaming SQL queries
• Big data processing
• AI-ready data pipelines
• Data pipeline automation
• Enterprise data modernization
• Real-time event monitoring
• Data transformation and enrichment
• AI and ML data pipelines
• Data security and encryption
• Cloud security
• Low latency data processing
• Data analytics
• Data pipeline monitoring
• CDC technology
• Real-time data streaming
• Cloud-native data solutions
• Predictive analytics streaming
• Enterprise data fabric
• Cloud-native data architecture
• Schema change management
• High performance data streaming
• Data replication and synchronization
• Unified data integration
• Multi-source data ingestion
• Streaming data governance
• Cloud security features
• Machine learning data preparation
• Data integration platform
• Healthcare analytics
• Cloud data resilience
• Data pipeline management
• Multi-cloud data orchestration
• High throughput data flow
• Enterprise data pipeline
• Hybrid cloud data
• AI-powered decision support
• Cloud data replication
• Distributed data processing
• Distributed streaming SQL
• Real-time operational intelligence
• Cloud migration solutions
• Real-time data analytics
• Data pipeline visualization
• Data flow automation
• Schema evolution
• Operational efficiency
• Streaming data security
• Cloud security encryption
• Cloud marketplace deployment
• Multi-cloud synchronization
• Scalable data pipelines
• Data-driven decision making
• Data replication resilience
• Enterprise data architecture
• Enterprise data streaming
• Schema drift detection
• Cloud data security
• Unified data platform
• Real-time data analytics dashboards
• Data synchronization across clouds
• Data ingestion connectors
• Real-time data validation
• Distributed SQL processing
• Cloud data migration tools
• Streaming SQL platform
• Schema evolution capabilities
• Resilience and high availability
• Event-driven architecture
• High availability
• Real-time analytics
• Streaming data analytics
• Automated error handling
• Real-time anomaly detection
• Multi-cloud data flow
• Multi-cloud data management
• Streaming data pipelines
• Cloud infrastructure
• Data management
• Scalable streaming platform
• Event streaming architecture
• Multi-cloud data integration
• Real-time data ingestion
• Streaming platform
• SaaS solution
• On-premise data management
• CDC
• Data pipeline
• AI and ML
• Data synchronization
• Data monitoring
• Low latency
• Data ingestion
• Multi-cloud management
• Data connectors
• Streaming SQL
• Data warehousing
• BigQuery integration
• Databricks integration
• Microsoft Fabric
• Snowflake integration
• Scalable data solutions
• Data lake
• ETL process
• Data transformation
• Data events
• Data privacy
• Data visualization
• Performance optimization
• Data validation
• Data migration
• Real-time insights
• Multi-source integration
• Data freshness
• Analytics acceleration
• Cost-effective data solutions
• Usage-based pricing
• Data ecosystem
• Data-driven decision-making
• Operational data streaming

Technologies Used

• AI
• AWS SDK for JavaScript
• AWS Trusted Advisor
• Act!
• Amazon AWS
• Bluekai
• Databricks
• Datawrapper
• Docker
• Domo
• Drift
• Flashtalking
• Gmail
• Google
• Google Apps
• Google Cloud Platform
• Hi-Media Performance
• Hubspot
• Javascript
• Linkedin Marketing Solutions
• LogIC
• Looker
• Microsoft Azure Monitor
• Microsoft Office 365
• MongoDB
• Oracle Cloud Infrastructure
• Oracle GoldenGate
• Oracle RAC One Node
• REST
• React
• Reddit for business
• Remote
• Route 53
• Sage Intacct
• Salesforce
• Sisense
• Slack
• Snowflake
• Tor
• TypeScript
• YouTube
• Zendesk
• ebs

Affiliated Organizations & Regional Branches