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👀MCD for CDC.... ATTN: Snowflake customers (and AEs and SEs). You can now apply MCD (marketplace capacity drawdown) to Streamkap purchases for fast, reliable, simple to use, and cost-effective CDC for replication from your databases ---> INSIDE Snowflake❄️ We've had a ton of requests from customers and Snowflake folks alike and Streamkap is now available via marketplace as a native app. Private offers initially but look out for a public listing soon👀. Drop a comment below if you're interested in giving it a try! #cdc #mcd #snowflake #snowflakemarketplace #streamkap

Multi-tenant CDC at sub-second latency? Yes (and without rebuilding your stack) As SaaS scales, multi-tenancy turns neat schemas into 5k+ Postgres schemas / 100k+ tables with suffix shards (customers_001…250k) across Postgres/MySQL/SQL Server/Oracle/Mongo. Great isolation, brutal CDC. Where legacy CDC breaks: fragmented sources, DDL drift, failovers, slow/expensive aggregation, fuzzy security. How we run it (field-tested): * Auto-aggregation across shared DB / per-schema / per-DB layouts * <1s latency via Kafka (log) + Flink (parallel merge/enrich) * No-code/IaC, schema evolution, HA baked in * Tenant/DB/shard tags for safe cross-tenant analytics * Destinations: Snowflake, Databricks, ClickHouse, Motherduck, and more Two patterns that scale: 1. Regex grouping → unify tenant_[0-9]+_table into topics; merge downstream with tenant tags 2. Logical sharding + SMTs → namespaced topics (tenantX_shardY_table) with clean isolation What teams get: real-time ops/analytics (<1s), lower TCO than DIY, pipelines that survive drift + failovers, and security controls (masking, audit) that keep compliance calm. #multitenant #cdc #streamkap #singletenant

SQL Server might not be the most exciting database in the world, but it's still everywhere. Not new. But deeply embedded in financial systems, healthcare, logistics—you name it. The problem? Streaming that data into modern analytics platforms like Snowflake is still way more painful than it should be. I’ve seen folks burn weeks trying to enable CDC, fiddle with schema permissions, or wrangle brittle connectors that start falling apart as soon as you scale. So we built something better. The goal was simple: Stream data from SQL Server to Snowflake—no code, no agents, real-time. Sub-second latency No polling, no agents Schema evolution handled Encrypted RSA auth, dynamic tables, and zero babysitting This is in production for customers streaming millions of rows per hour—powering fraud detection, ops dashboards, real-time personalization and more. We just published the full guide for anyone still wrestling with traditional CDC tools. And for folks who prefer watching over reading—we’re working on full video walkthroughs too. Coming soon Check the comments for the full guide #cdc #sqlserver #snowflake #etl #changedatacapture

A lot of folks worry that switching from batch to streaming will be complicated. The team at SpotOn made the switch from batch ETL and wrote up a super helpful guide on the process and steps. The result: low effort, high reward - simpler overall architecture, easy to setup and maintain, lower costs. Check out the comments for Daniel Corley's guide on the process. #etl #elt #streaming #batch #snowflake #clickhouse

I decided to challenge our team recently. Can we meet the goal we set out when we started Streamkap? To deliver streaming data in minutes. We decided to test with data ingestion from Postgres to Databricks. Sub-second latency, highly scalable, fault-tolerant, without the headache. We recorded the whole thing. The result is our latest tutorial: a full end-to-end build showing how to: Set up an Amazon Web Services (AWS) RDS PostgreSQL instance with logical replication Enable CDC without opening a million support tickets Push streaming data to Databricks SQL Warehouse in minutes This is the foundation customers are using for customer-facing workloads, operational infrastructure, real-time personalization, and more. Are you spending too much time managing brittle CDC setups, getting burned by “modern” tools that fall apart under load (and charge an arm and a leg)? Maybe this is the way for you: Video’s live here 👇 Curious to hear what you think or what’s broken in your current setup. #databricks #postgres #cdc #changedatacapture #etl

❄️Is that snow, in August? Weird… Oh, wait, no, Streamkap was just accepted into the Snowflake Startup Accelerator! Since we started Streamkap we’ve worked closely with Snowflake and our many shared customers helping deliver low-latency streaming data solutions. In the accelerator, we’ll be building something even better and specialized for Snowflake customers watch this space👀 We’re thankful for the support we’ll get on technology, marketing, and funding that the Accelerator provides. Thanks to Cameron Wasilewsky, Hobi Lew for the support in the program and longtime SNOW collaborators Chase Thomas, Xin Huang, Niels ter Keurs, Angus Bent, John Bird, Ryan Lieber. Excited to bring more streaming to Snowflake #snowflake #kafka #flink #streamingdata #realtimedata