Tiger Analytics tech stack
Tiger Analytics builds mostly with Python, SQL, Java, JavaScript. Its stack also includes Azure, AWS, LangChain, Snowflake. Python is named in 150 of the 254 job postings Tiger Analytics published in the last 12 months (59%). Counted by Alion from the job postings of Tiger Analytics, updated Nov 10, 2026.
What programming languages does Tiger Analytics use?
Python is named in 59% of job postings at Tiger Analytics, followed by SQL (46%), Java (4%), JavaScript (4%).
Python
150 59%
SQL
116 46%
Java
11 4%
JavaScript
11 4%
Scala
7 3%
Node JS
6 2%
PowerShell
5 2%
TypeScript
5 2%
Show all (17)
What frameworks and libraries does Tiger Analytics use?
LangChain is named in 13% of job postings at Tiger Analytics, followed by LangGraph (9%), TensorFlow (6%), Hadoop (6%).
LangChain
34 13%
LangGraph
23 9%
TensorFlow
15 6%
Hadoop
15 6%
PyTorch
15 6%
LlamaIndex
13 5%
Scikit-learn
10 4%
FastAPI
10 4%
Show all (47)
And 7 more, each named in fewer postings.
What databases does Tiger Analytics use?
Snowflake is named in 13% of job postings at Tiger Analytics, followed by Google BigQuery (7%), PostgreSQL (4%), Pinecone (4%).
Snowflake
33 13%
Google BigQuery
17 7%
PostgreSQL
10 4%
Pinecone
9 4%
Delta Lake
8 3%
Amazon Redshift
6 2%
Milvus
6 2%
Azure Cosmos DB
5 2%
Show all (22)
What cloud and platforms does Tiger Analytics use?
Azure is named in 37% of job postings at Tiger Analytics, followed by AWS (35%), GCP (31%), Databricks (22%).
Azure
94 37%
AWS
88 35%
GCP
79 31%
Databricks
55 22%
Spark
42 17%
Power BI
33 13%
Kubernetes
33 13%
Show all (61)
And 21 more, each named in fewer postings.
What developer tools does Tiger Analytics use?
pySpark is named in 11% of job postings at Tiger Analytics, followed by Docker (11%), Terraform (8%), Git (6%).
pySpark
28 11%
Docker
27 11%
Terraform
20 8%
Git
16 6%
Rest API
10 4%
Semantic Kernel
9 4%
Google ADK
8 3%
Show all (38)
What AI and ML technologies does Tiger Analytics use?
LLM is named in 18% of job postings at Tiger Analytics, followed by Claude (4%), Gemini (4%), LoRA (2%).
Show all (12)
Which engineering practices does Tiger Analytics ask for?
Machine Learning is named in 65% of job postings at Tiger Analytics, followed by AI Agents (27%), CI/CD (23%), RAG (19%).
AI Agents
68 27%
CI/CD
58 23%
RAG
47 19%
Prompt Engineering
26 10%
Embeddings
15 6%
NLP
13 5%
Show all (66)
And 26 more, each named in fewer postings.
What does each Tiger Analytics team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
52 postingsData Science
51 postingsAnalytics
43 postingsSolutions
21 postingsProduct
15 postingsDevOps
14 postingsHow does your stack fit Tiger Analytics?
How is the Tiger Analytics stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Tiger Analytics stack?
Tiger Analytics scores 80 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 12; legacy ones: 0.
How common is the Tiger Analytics stack in its industry?
Share of the 1,462 companies in the same industries, whose stack Alion knows, that use each technology.
What sets Tiger Analytics apart
Companies with a stack like Tiger Analytics
Questions about the Tiger Analytics tech stack
What programming languages does Tiger Analytics use?
The languages named in Tiger Analytics job postings are Python (59%), SQL (46%), Java (4%), JavaScript (4%), Scala (3%), as a share of the 254 postings of the last 12 months.
Does Tiger Analytics use LangChain?
Yes. LangChain is named in 34 of 254 job postings (13%) and required in 19 of them.
What cloud and platforms does Tiger Analytics use?
The cloud and platforms named in Tiger Analytics job postings are Azure (94), AWS (88), GCP (79) (postings in brackets).
What skills do you need for a AI/ML job at Tiger Analytics?
AI/ML postings at Tiger Analytics most often require Python (36), Azure (26), LLM (25), AWS (22), out of 52 postings in the last 12 months.
Is the Tiger Analytics tech stack changing?
Yes. GraphRAG, Triton, Mistral, Asyncio first appeared in Tiger Analytics job postings in the last six months.
How modern is the Tiger Analytics tech stack?
Tiger Analytics scores 80 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 12; legacy ones: 0.
How does Alion know the Tiger Analytics tech stack?
Alion reads every job posting Tiger Analytics publishes and tags the technologies each one names. The figures on this page count the 254 postings of the last 12 months and were updated on Nov 10, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Tiger Analytics tech stack: 263 technologies from 254 job postings", as of Nov 10, 2026. https://alion.io/company/tigeranalytics/technologies