Striim
striim.com
Actively hiring
Data Integration & ETL Tools
Stream Processing & Real-Time Data
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People
Growth
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Overview
Striim provides real-time data integration that streams changes from operational databases into analytics and machine learning systems. Founded in 2012 in California by former GoldenGate engineers, it processes and enriches data in flight. Enterprises use it to keep artificial intelligence applications working on fresh data.
News
Striim and Infomedia Partner to Bring Real-Time Data Modernization to Enterprises Across LATAM
PALO ALTO, Calif., Aug. 27, 2026 (GLOBE NEWSWIRE) -- Striim, a global leader in real-time data intelligence for enterprise AI, today announced a...
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Report
ClickHouse Is Fast. Your Data Pipeline Should Be Too.
You've done the hard work of getting ClickHouse into production. The dashboards that used to make people wait are fast. Adoption is growing. More teams want access to the data. Then someone sends you a message: Why doesn't the inventory dashboard match th
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What Your Legacy Replication Actually Costs
Legacy replication platforms tend to get renewed on autopilot. The pipelines run, the tickets are rare, and nobody volunteers to replace plumbing that hasn't leaked recently. Renewal is usually the only moment anyone looks at the whole picture, though, an
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Where Legacy Data Replication Architecture Shows Its Age
Legacy replication engines were built around a narrow contract: read the transaction log, apply the rows to a target, and restart as cleanly as possible when something breaks. For years, that contract was enough. But enterprise data demands have fundament
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Modern Data Integration Patterns for Faster, AI-Ready Workflows
There's a hidden data problem lurking in almost every enterprise. Not a lack of data, but the fact that data is trapped, siloed off from where it needs to be. Enterprises collect massive volumes of data across disparate applications, cloud environments, a
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Delivering real-time context for retail AI with Striim and Microsoft Azure.
How real-time data is the difference between AI that delights shoppers and AI that quietly erodes their trust, and how Striim and Microsoft Azure close the gap. The Smartest Associate on Your Floor Picture the best store associate you have ever hired. Per
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The Hyper-Responsive Payments Organization
Download this executive white paper to learn how real-time data architecture helps payments organizations reduce churn, strengthen AI, improve compliance, and drive growth.
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Beyond the Pipe: Why the Next Generation of Streaming Architecture is "Source-Intelligent"
Many organizations have a streaming data architecture today. Yet, 80% of that data still arrives at its destination stale, dirty, or completely devoid of context. Picture a major retailer. They capture millions of transactions from their digital storefron
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Retail's AI Problem Isn't the Model. It's the Clock.
Retail enterprises are investing heavily in AI. Most are running agents on data that is hours old and never verified. And at machine speed, stale data doesn't just disappoint customers. It makes thousands of wrong decisions before anyone notices. If you l
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Report
Validata in Action: One Comparison Logic, Many Execution Strategies
This is the third post in our Foundations series on Validata. Click here to read the first post, which is an introduction to Validata, and here to read the second, which discusses why row matching is an exact identity problem. When you sit down to validat
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Tech stack
Technologies named in job postings at Striim over the last 12 months, by layer, with the share of postings for each.
Technologies in use
49
Postings analysed
11
Stack modernity
93/100AI adopter
Languages
Java27%
Python27%
SQL27%
Frameworks & libraries
Flink9%
Databases
BigQuery45%
Google BigQuery45%
Snowflake45%
Google Cloud Spanner18%
Cloud & platforms
Azure55%
AWS55%
GCP55%
Apache Kafka45%
AI & ML
Claude55%
ChatGPT27%
Gemini9%
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Full Striim tech stack
49 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$218k
Typical range
$170k – $265k
Open positions
2
2
Jobs
Architect
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Architect | 2 | $218k | $170k – $265k |
Highest paying role
Head of Customer Delivery & Professional Services
$265k
Normalized to USD per year
People
Ali Kutay
Executive Officer, Director
Sami Akbay
Executive Officer
Alok Pareek
Executive Officer
Regis Mckenna
Director
Peter Chung
Director
Frank Caufield
Director
Names and roles come from public filings, company registers and the company's own site. Is this you? Correct or remove · How we handle this data
Growth
Hiring Momentum
64/100
Growing
Open positions
2
0 opened / 2 closed in 30 days
Median time-to-fill
56 days
faster than 25% of the market
ATS activity
Every ~4 hours
Today
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.
Sales
29% ▲
Solutions
29% ▼
Backend
14% ▲
Design
14% ▼
HR
14% ▼
Activity Timeline
New location: United States
Oct 2026
Added Windows to stack
Sep 2026
Added Unix to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Microsoft Excel to stack
Sep 2026
Added Fivetran to stack
Sep 2026
New location: Chennai
Sep 2026
Added Microsoft Fabric to stack
Aug 2026
Added Amazon SageMaker to stack
Aug 2026
Added OpenAI Codex to stack
Aug 2026
Added GitHub to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
5
Hiring now
0
Countries
4
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Headquarters
Builds here
Office with open vacancies
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Palo Alto
United States
HQ
Palo Alto, US
2 posted in 90 days 50-200 est. staff
Chennai
India
Regional office
Chennai, India
1 posted in 90 days 10-50 est. staff
Bengaluru
India
Regional office
Bengaluru, India
London
United Kingdom
Regional office
United Kingdom - Hybrid
Istanbul
Turkey
Regional office
Istanbul, Turkey
Jobs
$140k – $170k per year • Equity • Remote (United States) • 4+ years exp • Bachelor's Degree • United States
Python
Java
SQL
PostgreSQL
Snowflake
Databricks
Oracle
Apache Kafka
Google BigQuery
BigQuery
AI/ML
Copilot
Claude
Model Context Protocol
AI Agents
Gemini
RAG
OpenAI Codex
Machine Learning
DevOps
GCP
Azure
AWS
Docker
Kubernetes
Linux
Unix
Analytics
ETL/ELT
Apply
Financials
Total raised
$30.4M
Latest round
Venture - Series Unknown
Funding rounds
1
Funding rounds
| Round | Announced | Amount | |
|---|---|---|---|
| Venture - Series Unknown | 2015 | $30.4M | Details |