Estuary

Covers: Kafka Connect, Apache Flink, Apache Iceberg, Upsolver, Estuary and much more!

Apache Iceberg is revolutionizing data lakes, but we need to cut through the hype and talk about the real technical challenges of optimal data ingestion: 1. Optimizing File Size & Layout > Small file problem leads to metadata bloat > Suboptimal compaction degrades query performance > Challenge: Balancing write latency vs. read performance 2. Schema Evolution Complexity > Adding/modifying columns while maintaining backward compatibility > Handling nested data structures > Ensuring schema changes don't break downstream consumers 3. Time Travel & Versioning > Managing snapshot state without performance penalties > Implementing ACID transactions at scale > Garbage collection without impacting active queries 4. Performance Bottlenecks > Write amplification during updates/deletes > Partition evolution as data patterns change > Metadata handling at scale (millions of files) 🔍 Real-world Challenge: Ingesting real-time streaming data into Iceberg while maintaining optimal file sizes, ensuring exactly-once semantics, and preserving low latency has been a significant hurdle for many organizations. 💡 Enter Estuary Flow: The Solution Estuary Flow addresses these challenges head-on: - Real-time data integration with sub-second latency - Automated schema evolution handling - Private deployment options for enhanced security - Native integration with Iceberg for seamless data flow - Intelligent auto-compaction for optimal file sizes (soon!) For enterprises requiring ironclad security and control, Estuary Flow's private deployment ensures your data never leaves your infrastructure while still leveraging all the benefits of Iceberg. Apache Iceberg is the future of data lakes, but optimal implementation requires solving complex ingestion challenges. Estuary Flow turns these challenges into opportunities, enabling real-time, secure, and optimized data integration. Check out our end-to-end guide for #ApacheIceberg data integration: https://lnkd.in/d8KGP5yK

What is Bring Your Own Cloud (BYOC)? Bring Your Own Cloud (BYOC) is a deployment method in which organizations host applications and data in their own cloud accounts instead of in vendor's accounts. BYOC allows you to deploy Estuary Flow's data integration platform directly within your existing cloud infrastructure. This deployment mode offers: 1. Tight integration with your current security protocols 2. Customization to align with your specific organizational needs 3. Potential cost optimization using your existing cloud credits Why Choose BYOC? - Data never leaves your secure environment - Compliance with industry-specific regulations - Complete audit trail within your infrastructure BYOC allows you to leverage your existing investments. You can: - Utilize your established cloud infrastructure - Maintain consistent security policies - Benefit from your negotiated cloud pricing Estuary Flow is enterprise-ready ✅ ✅ Enterprise-grade data integration ✅ The security and control of your own cloud ✅ Expert support from our team ✅ Regular updates and improvements We have just launched private deployments and BYOC as deployment options, check out the official announcement here: https://lnkd.in/dg7fRKG2 If you are interested in private deployments, send us a message!

Another week, another feature release. 🚢 We’re excited to launch Private Deployments in Estuary Flow—secure data management for any enterprise! Now, you can deploy Estuary Flow’s powerful real-time data infrastructure in your private cloud, gaining: 1. Full control over data pipelines 🚀 2. Enhanced security and compliance 🛡️ 3. Zero egress fees and reduced latency ⚡ 4. Scalable, isolated resources tailored to your needs 🎯 Private Deployments combine the best of SaaS with the security and governance required for mission-critical environments. No compromises. Explore how Private Deployments can power your organization: https://lnkd.in/dj-iDH4v

Real-time analytics for Oracle with Materialize and Estuary Flow. In our integration with Materialize, we take care of the Change Data Capture (CDC) pipeline so you can ingest data from an Oracle database in any environment and Materialize brings the analytical power allowing you can build real-time analytics using just SQL. Full article: https://lnkd.in/dDNbWdgc

We recently announced Dekaf, our Kafka API-compatibility layer. This unlocks many new integrations, one of which we are especially proud of is our partnership with StarTree. StarTree, built on top of the powerful Apache Pinot, is revolutionizing real-time analytics, allowing businesses to make instant decisions from massive datasets. By integrating Estuary Flow's real-time data integration capabilities with StarTree, we’re bringing users the best of both worlds: seamless real-time data ingestion with lightning-fast, scalable query performance. Real-time analytics is no longer a luxury—it’s a competitive necessity, and together with StarTree, we’re pushing the boundaries of what’s possible. Stay tuned for more updates as we continue to innovate and expand the reach of real-time data streaming and analytics!

You can stream data from Estuary Flow into any system that can ingest data from Kafka. This new feature unlocks new, exciting use cases for Flow and real-time analytics. For example, you can combine our battle-hardened CDC connectors with Tinybird's user-facing analytics engine. Check out the full guide here: https://lnkd.in/d9KAwRwF

🌟 Exciting News! 🌟 We are thrilled to announce that Estuary Flow has launched their new Decaf Platform, designed to enhance Kafka API compatibility! 🎉 As proud partners of Estuary, we're excited to see this platform make it even easier for organizations to harness the power of real-time data streaming with Kafka. This is a game changer for companies looking to leverage the full potential of real-time data infrastructure, seamlessly integrating with their existing tools and workflows. 🚀 Looking forward to seeing how our customers can benefit from the Decaf Platform and continue to innovate with SingleStore and Estuary Flow. 🗞️ Full article: https://bit.ly/3XVLyNJ #SingleStore #Estuary #Decaf #Kafka #RealTimeStreaming

Real-time analytics for Salesforce isn't just nice to have—it's essential, especially if you use it at scale. Here's why: 1. Instant Insights: Make data-driven decisions the moment opportunities arise. 2. Proactive Customer Service: Address issues before they escalate. 3. Sales Performance Optimization: Based on live data, adjust strategies on the fly. 4. Resource Allocation: Efficiently distribute your team's efforts where needed most. But how can businesses achieve this level of agility? Enter the powerful combination of Estuary and ClickHouse. Estuary Flow captures Salesforce data in real time, ensuring no valuable information is left behind. ClickHouse Cloud, with its lightning-fast columnar database, allows for instantaneous querying of massive datasets. This means your team can analyze trends, forecast outcomes, and identify opportunities as they happen. Together, these technologies can empower you to: 1. Visualize sales pipelines in real-time 2. Detect and respond to customer churn signals instantly 3. Optimize marketing campaigns on the go 4. Provide personalized customer experiences based on up-to-the-second data Check out how this new integration works using Dekaf, Estuary Flow's Kafka-API compatibility layer. Article: https://lnkd.in/dGZ9xbUM #dataengineering

Easily capture change data to build real-time analytics applications with StarTree + Estuary ✨ We're excited to share that developers using StarTree can seamlessly ingest data from Amazon DynamoDB and 150+ other data sources using Estuary Flow. This powerful integration enables the creation of real-time analytics applications by capturing change data from databases like DynamoDB, MongoDB, and PostgreSQL. Read more about the integration from Gnanaguru Sattanathan: https://lnkd.in/gNt3qVwf #ApacheKafka #CDC #ChangeDataCapture #RealTimeAnalytics