| Postgres CDC into open tables usually takes a CDC tool, a message bus, a streaming job, and masking code. On Onehouse, … |
@Onehousehq |
Company |
Original |
2026-10-23 |
144 |
3 |
0 |
1 |
0 |
0 |
| Expiring old Iceberg snapshots is routine maintenance — until the table is TB-scale with writers committing every 1-5 m… |
@Onehousehq |
Company |
Original |
2026-10-21 |
111 |
3 |
1 |
1 |
0 |
1 |
| In the late 1990s, when the data warehouse model was state-of-the-art, Walmart had 19TB of customer data stored across … |
@Onehousehq |
Company |
Original |
2026-10-19 |
82 |
1 |
1 |
1 |
0 |
0 |
| Flink earns the top grade on both Engine Design and Scalability & Performance in Onehouse's stream-processing engin… |
@Onehousehq |
Company |
Original |
2026-10-15 |
137 |
3 |
1 |
1 |
0 |
0 |
| OneSync writes data once and syncs it to Apache Hudi, Apache Iceberg, or Delta Lake — whichever format(s) an engine req… |
@Onehousehq |
Company |
Original |
2026-10-14 |
84 |
2 |
0 |
2 |
0 |
0 |
| NOW Insurance provides professional insurance for medical practitioners. Its systems process as many as 15,000 data poi… |
@Onehousehq |
Company |
Original |
2026-10-13 |
54 |
1 |
0 |
1 |
0 |
0 |
| The Onehouse vector embeddings pipeline: raw data lands in a Hudi table via managed S3 ingestion. A custom transformer … |
@Onehousehq |
Company |
Original |
2026-10-08 |
157 |
4 |
1 |
1 |
0 |
1 |
| A cloud VM’s network I/O, CPU, and storage IOPS taking turns instead of running concurrently is bad news: the CPU sits … |
@Onehousehq |
Company |
Original |
2026-10-07 |
373 |
1 |
0 |
1 |
1 |
0 |
| Microsoft OneLake’s table format virtualization can serve a Delta Lake table to readers that only support Apache Iceber… |
@Onehousehq |
Company |
Original |
2026-10-06 |
153 |
5 |
0 |
1 |
0 |
2 |
| 🔄 Onehouse's Postgres CDC flow automates the entire stack from write-ahead log to queryable Hudi tables. Here's what ru… |
@Onehousehq |
Company |
Original |
2026-10-01 |
126 |
3 |
1 |
1 |
0 |
0 |
| Yesterday at Insight, NetApp previewed AI Data Engine integrations with Onehouse. Today we’re launching the Onehouse AI… |
@Onehousehq |
Company |
Original |
2026-09-30 |
241 |
8 |
0 |
2 |
0 |
1 |
| A common platform-team question: if you're running in your own VPC and already have an EC2 discount, what's the real Qu… |
@Onehousehq |
Company |
Original |
2026-09-29 |
75 |
1 |
0 |
1 |
0 |
1 |
| Ray's scheduler can pin an individual task to a specific GPU type. Spark's can't. That's why "Spark for ETL, Ray for tr… |
@Onehousehq |
Company |
Original |
2026-09-28 |
65 |
1 |
0 |
1 |
0 |
1 |
| A job with 10 executors and 32 cores each allocates 320 cores. Typical Spark waste is 30-70% of that allocation — 96 to… |
@Onehousehq |
Company |
Original |
2026-09-24 |
59 |
4 |
1 |
1 |
0 |
0 |
| Onehouse's own example for CDC ingestion engineering time: three data engineers, around three-six months, to set up one… |
@Onehousehq |
Company |
Original |
2026-09-23 |
98 |
3 |
0 |
1 |
0 |
0 |
| ⚡ Quanton accelerates Apache Iceberg on Apache Spark with two independently engineered layers that compound. https://t.… |
@Onehousehq |
Company |
Original |
2026-09-22 |
148 |
3 |
1 |
1 |
0 |
0 |
| Snowpark's compatibility table: DataFrame APIs and SparkSQL match real Spark. Three rows diverge: RDD Support, Structur… |
@Onehousehq |
Company |
Original |
2026-09-21 |
79 |
2 |
1 |
1 |
0 |
0 |
| Switching Spark platforms typically means rewriting jobs and re-validating pipelines before savings show up. The drop-i… |
@Onehousehq |
Company |
Original |
2026-09-18 |
136 |
3 |
2 |
1 |
0 |
0 |
| Your lakehouse has a new job: fueling open models.
Today we're launching AI training data pipelines on Onehouse for @ba… |
@Onehousehq |
Company |
Original |
2026-09-17 |
472 |
8 |
4 |
1 |
1 |
0 |
| How Quanton works on Snowpark Container Services:
🐳 It only runs images from the customer's own account registry. Push… |
@Onehousehq |
Company |
Original |
2026-09-16 |
84 |
3 |
1 |
1 |
0 |
0 |
| AI agents don’t run one daily query. They ingest context continuously—low latency, high concurrency—and they create the… |
@Onehousehq |
Company |
Original |
2026-09-15 |
96 |
2 |
1 |
1 |
0 |
0 |
| The entire switch to Quanton Kubernetes Operator (and we have even have a claude skill for this) :
```
spec:
sparkAp… |
@Onehousehq |
Company |
Original |
2026-09-14 |
115 |
2 |
0 |
1 |
0 |
0 |
| Quanton's execution engine doesn't treat every ETL run as a fresh, full workload. It analyzes stable SQL transformation… |
@Onehousehq |
Company |
Original |
2026-09-10 |
95 |
3 |
1 |
1 |
0 |
0 |
| A Cost Analyzer for Apache Spark™ report for a large US airline, scoped to an EMR-based ETL cost reduction use case, fo… |
@Onehousehq |
Company |
Original |
2026-09-09 |
86 |
2 |
1 |
2 |
0 |
0 |
| Onehouse: "We have observed these improvements leading to 2-10x improvements in query performance for customer tables, … |
@Onehousehq |
Company |
Original |
2026-09-08 |
52 |
2 |
0 |
1 |
0 |
0 |
| CDC-to-lakehouse solutions fall into five categories, and most stop before the last one. https://t.co/sBgN4uJYSD |
@Onehousehq |
Company |
Original |
2026-09-07 |
64 |
3 |
0 |
1 |
0 |
0 |
| Compute-hour billing creates a structural disincentive to ship performance work — for the vendor billing by the hour. h… |
@Onehousehq |
Company |
Original |
2026-09-03 |
68 |
1 |
0 |
1 |
0 |
0 |
| AWS EMR 7.12 posts a 32% price/performance improvement over its prior release. Same benchmark suite, rerun against EMR … |
@Onehousehq |
Company |
Original |
2026-09-02 |
63 |
3 |
0 |
1 |
0 |
0 |
| Table Optimizer's clustering strategies span a spectrum: from simple sorting to advanced multi-dimensional Z-Order/Hilb… |
@Onehousehq |
Company |
Original |
2026-09-01 |
65 |
1 |
0 |
1 |
0 |
0 |
| ClickHouse and StarRocks: best-in-class on Engine Design in a comparison of Spark, ClickHouse, Presto, StarRocks, and T… |
@Onehousehq |
Company |
Original |
2026-08-31 |
101 |
3 |
0 |
1 |
0 |
0 |
| 36% of companies leveraging Spark + k8s are also using one of the managed Spark platforms. https://t.co/yu7jqpXIq9 |
@Onehousehq |
Company |
Original |
2026-08-27 |
56 |
1 |
0 |
1 |
0 |
0 |
| S3 Tables offers fully managed Iceberg compaction. In one hands-on test, a writer at a nominal 1GB/min across 100 parti… |
@Onehousehq |
Company |
Original |
2026-08-26 |
56 |
2 |
0 |
1 |
0 |
0 |
| Your Spark dashboard says the job finished. It won't tell you why one stage burned 80% of the runtime, or whether that … |
@Onehousehq |
Company |
Original |
2026-08-25 |
73 |
2 |
0 |
1 |
0 |
0 |
| Open table formats were meant to end lock-in. They helped—but they didn’t finish the job. Lock-in just moved up a layer… |
@Onehousehq |
Company |
Original |
2026-08-24 |
76 |
3 |
0 |
2 |
0 |
0 |
| Quanton optimizes every stage of the pipeline separately: the read, the compute, and the write. Each stage's gain trace… |
@Onehousehq |
Company |
Original |
2026-08-20 |
47 |
1 |
0 |
1 |
0 |
0 |
| Three Cost Analyzer for Apache Spark™ reports, three different workloads, three different numbers. https://t.co/lT01MBA… |
@Onehousehq |
Company |
Original |
2026-08-19 |
65 |
2 |
1 |
1 |
0 |
0 |
| The math behind Iceberg's deleteOrphanFiles at production scale: a Spark job writing 1 GB of data every 5 minutes, assu… |
@Onehousehq |
Company |
Original |
2026-08-18 |
62 |
1 |
0 |
1 |
0 |
0 |
| In Apna's architecture, records that fail the schema validation check stream to a dedicated quarantine table for review… |
@Onehousehq |
Company |
Original |
2026-08-17 |
68 |
1 |
0 |
1 |
0 |
0 |
| One customer ingesting fast-changing blockchain data needed a hard 10‑minute freshness SLA—even as their workload swung… |
@Onehousehq |
Company |
Original |
2026-08-13 |
64 |
1 |
0 |
1 |
0 |
0 |
| Table Optimizer is executed inside a Spark application, deployed through Kubernetes on the customer's AWS EKS or GCP GK… |
@Onehousehq |
Company |
Original |
2026-08-12 |
67 |
4 |
0 |
1 |
0 |
0 |
| SiliconAngle reported nearly 40% of Snowflake customers are also running Databricks, and nearly 50% of Databricks custo… |
@Onehousehq |
Company |
Original |
2026-08-06 |
149 |
4 |
1 |
2 |
0 |
0 |
| Snowflake's OpenFlow, Confluent's TableFlow, and Databricks's LakeFlow each scope ingestion to a single ecosystem. http… |
@Onehousehq |
Company |
Original |
2026-08-04 |
69 |
2 |
0 |
1 |
0 |
0 |
| OneSync's permission translation is bidirectional across four catalogs, not a one-way push from a single canonical sour… |
@Onehousehq |
Company |
Original |
2026-07-29 |
58 |
2 |
0 |
1 |
0 |
0 |
| Postgres data enters the lakehouse through CDC and is served back out through a Postgres-compatible endpoint — open lak… |
@Onehousehq |
Company |
Original |
2026-07-28 |
69 |
3 |
1 |
1 |
0 |
0 |
| Onehouse Notebooks is organized around one workflow: notebooks are for exploration and development; jobs are for produc… |
@Onehousehq |
Company |
Original |
2026-07-24 |
61 |
2 |
0 |
1 |
0 |
0 |
| Quanton-accelerated Iceberg on Spark, measured per benchmark against OSS Spark:
TPC-DS: up to ~3.1x
TPCx-BB: 2x
TPC-DI… |
@Onehousehq |
Company |
Original |
2026-07-22 |
66 |
3 |
0 |
1 |
0 |
0 |
| Conductor's Principal Engineer, Emil Emilov: "With Onehouse, there's a lot of things we don't have to figure out anymor… |
@Onehousehq |
Company |
Original |
2026-07-21 |
65 |
5 |
1 |
1 |
0 |
1 |
| If you need money for Claude tokens, now you know where to look.
A $1M platform spend on Snowflake, Databricks or EMR m… |
@Onehousehq |
Company |
Original |
2026-07-16 |
102 |
5 |
1 |
1 |
0 |
0 |
| Databricks 47.1%. Kubernetes 33.5%. Every cloud-managed Spark platform combined (EMR, Fabric, DataProc) 19.4%. Kubernet… |
@Onehousehq |
Company |
Original |
2026-07-15 |
546 |
6 |
0 |
1 |
0 |
1 |
| What does compaction, cleaning, and clustering look like when you operate at Uber scale?
At OpenXData, Uber engineers … |
@Onehousehq |
Company |
Original |
2026-04-21 |
97 |
2 |
0 |
0 |
0 |
0 |
| @kevinjqliu is on the Apache Iceberg™ PMC and leads Iceberg work for Microsoft OneLake. At #OpenXData, he’ll lay out a … |
@Onehousehq |
Company |
Original |
2026-04-13 |
112 |
2 |
1 |
0 |
0 |
1 |
| @J_ co-created Apache Parquet, Apache Arrow, and OpenLineage. Three projects. Three industry standards.
Parquet at Twi… |
@Onehousehq |
Company |
Original |
2026-04-03 |
367 |
6 |
2 |
0 |
0 |
0 |
| Announcing Quanton Kubernetes Operator for Apache Spark 🚀
33% organizations adopt Spark on Kubernetes, and now you can… |
@Onehousehq |
Company |
Original |
2026-03-24 |
514 |
12 |
7 |
0 |
1 |
1 |
| Onehouse LakeBase™ - The first lakehouse serving layer with database capabilities like indexing and caching. Built for … |
@Onehousehq |
Company |
Original |
2026-02-17 |
236 |
5 |
2 |
1 |
0 |
0 |
| If you've got half-committed writes staring back at you like a crime scene in your data lake we need to talk...
"The A… |
@Onehousehq |
Company |
Original |
2026-01-26 |
175 |
2 |
1 |
0 |
0 |
0 |
| Are you are itching for a fresh start to your Spark ⚡ data platform in 2026? Migrating from a AWS EMR -> Onehouse is… |
@Onehousehq |
Company |
Original |
2026-01-05 |
98 |
2 |
1 |
0 |
0 |
0 |
| How to design your data lakehouse tables for fast queries
Query performance isn't just about your engine – it starts w… |
@Onehousehq |
Company |
Original |
2025-12-10 |
157 |
4 |
1 |
0 |
0 |
1 |
| Cloud object storage performance is deeply influenced by HTTP behavior. In our latest analysis, we show how S3’s depend… |
@Onehousehq |
Company |
Original |
2025-12-04 |
737 |
6 |
1 |
1 |
1 |
0 |
| With the newly minted AWS EMR 7.12 now generally available, we reran all of the benchmarks from our previous blog, to o… |
@Onehousehq |
Company |
Original |
2025-12-02 |
264 |
5 |
3 |
0 |
0 |
0 |
| ⏰ We’re going live in just a few minutes!
The Open Source Data Summit 2025 kicks off shortly. There's still time to gr… |
@Onehousehq |
Company |
Original |
2025-11-13 |
195 |
1 |
0 |
0 |
0 |
0 |
| Quanton accelerated Iceberg workloads now at 3x performance vs OSS Spark and up to 5x price/performance vs other premiu… |
@Onehousehq |
Company |
Quote |
2025-11-12 |
218 |
3 |
0 |
0 |
0 |
0 |
| Honored to share that Onehouse has been named to @CRN's 2025 Stellar Startups list in Big Data 🎉
We’re excited to see … |
@Onehousehq |
Company |
Original |
2025-11-10 |
115 |
1 |
0 |
0 |
0 |
0 |
| 💸 Most teams running Apache Spark™ are burning 30-70% of their compute budget, and they don’t even know it.
Why? Becau… |
@Onehousehq |
Company |
Original |
2025-11-05 |
192 |
4 |
3 |
0 |
0 |
0 |
| 📘 The full “@apachehudi: The Definitive Guide” is out (free).
Why it matters: Lakehouses are mainstream, but reliable,… |
@Onehousehq |
Company |
Original |
2025-11-04 |
226 |
2 |
2 |
0 |
0 |
0 |
