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News
Technologies
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People
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Overview
A managed real-time analytics platform designed for OLAP at massive speed and scale, built on top of Apache Pinot.
News
Materialized Views vs Indexes vs Star-tree Index
Materialized views are one of the oldest tricks in database engineering. Oracle shipped them in the 1990s. Postgres has had them for over a decade. Every data warehouse worth its salt supports some flavor of pre-computed, persisted query results. There is
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Designing Apache Pinot for High Availability in the Cloud
In May 2026, AWS reported a thermal event affecting infrastructure in a single Availability Zone. EC2 instances and EBS volumes on impacted hardware were impaired, and AWS shifted traffic away from the affected zone for many services. That is exactly the
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Full-Text Search on Iceberg: One Engine for Analytics and Search
Apache Iceberg has become the default table format for the lakehouse. Analytics, reporting, ML feature pipelines, streaming, and batch all read and write the same Iceberg tables - one copy of the data, in open Parquet, in your bucket, queried by many engi
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The Old-Gen Cliff: Lessons from a High-QPS Pinot MSQE Join POC
Joins are not new. Analytical databases have supported them for decades. What is still hard is running complex joins at high concurrency with tight latency goals - especially in real-time analytics systems where fresh data is continuously arriving. That i
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Engineering the Log Lakehouse
Log analytics has become one of the most expensive and operationally painful parts of the modern data stack. The ELK stack and Splunk were built from a search-first design center. That design made sense for the original problem: index machine data aggress
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Technologies
Tech DNA
Java
Python
SQL
Hadoop
ClickHouse
Druid
Presto
AWS
Azure
GCP
LLM
AI/ML
Python
SQL
AWS
Azure
GCP
Kubernetes
ClickHouse
Druid
Presto
Trino
CI/CD
Docker
Splunk
Hadoop
Spark
LLM
Together AI
Other
Java
Bash
Maven
Apache Kafka
Crowdstrike
Slack
Stack modernity
75/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Required
Java
2 jobs
Required
SQL
2 jobs
Required
GCP
2 jobs
Required
Azure
2 jobs
Required
AWS
2 jobs
Required
Kubernetes
2 jobs
Required
Maven
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
24%
SQL
21%
CI/CD
19%
AWS
19%
Kubernetes
18%
Azure
16%
Share of companies in the same industry that use each technology.
Stack changes
Together AI
Aug 2026
Splunk
Aug 2026
LLM
Aug 2026
Crowdstrike
Aug 2026
Docker
Aug 2026
CI/CD
Aug 2026
Bash
Aug 2026
Trino
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
83/100
Scaling fast
Open positions
4
2 opened / 0 closed in 30 days
ATS activity
Every ~1 days
08/30/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
50% ▲
DevOps
25% ▲
Support
25% ▲
Activity Timeline
Added Together AI to stack
Aug 2026
Added Splunk to stack
Aug 2026
Added LLM to stack
Aug 2026
Added Crowdstrike to stack
Aug 2026
Added Docker to stack
Aug 2026
Added CI/CD to stack
Aug 2026
Added Bash to stack
Aug 2026
Added Trino to stack
Aug 2026
Added Spark to stack
Aug 2026
Added Slack to stack
Aug 2026
Added Presto to stack
Aug 2026
Added Kubernetes to stack
Aug 2026
Jobs
≈ $10k – $39k per year (Estimated) • In office • 1+ year exp
Bash
Python
AWS
Azure
CI/CD
Docker
GCP
Kubernetes
Apply
≈ $28k – $68k per year (Estimated) • Remote
Java
LLM
Together AI
DevOps
Splunk
Cybersecurity
Crowdstrike
Apply
Senior Software Engineer, Data Platform
20 days ago≈ $26k – $65k per year (Estimated) • Remote • Full-Time • India
Java
Python
SQL
Maven
Apply
≈ $74k – $141k per year (Estimated) • Remote • 4+ years exp • Bachelor's Degree
SQL
Apache Kafka
ClickHouse
Druid
Presto
Trino
AI/ML
Hadoop
Spark
DevOps
AWS
Azure
GCP
Kubernetes
Management
Slack
Apply

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