Why we chose 20 connectors over 200
Quality over quantity matters. We focused on the top 20 connectors that cover 90% of use cases. By maintaining fewer connectors, we ensure they are 100% reliable, battle-tested, and performant.
Now with AI-powered transformations
Data pipelines that actually work
Visual pipeline builder. 20+ battle-tested connectors. Predictable scheduling. Built on Postgres, powered by AI. No endless configurations—just data that flows.
20+
Connectors
99.9%
Uptime SLA
<5min
Setup Time
Sensyze
Status: RUNNINGRun ID: #8f92a1
Trusted by fast-growing teams across India
Code when you want.
Visual when you need.
Sensyze gives you the best of both worlds. Build complex logic in Python or SQL, wrap it in a reusable node, and let your analysts connect the dots.
- Git-backed version control
- SQL is 1st world citizen
- Full Python support
- dbt Core integration built-in
Python
transform.py
def transform(df):
# Full DataFrame Power
if df.empty: return df
# Group By and Aggregate
result = df.groupby('currency').agg({
'latest_close': 'sum',
'ticker': 'count'
}).reset_index()
return resultEverything you need to ship
From extraction to loading, with orchestration and monitoring built in.
Visual Pipeline Builder
Drag-and-drop interface to design complex data workflows. No code required, but fully extensible.
Smart Scheduling
Cron expressions, event triggers, or dependency-based scheduling. Run exactly when needed.
Full Observability
Track every record, monitor latency, and debug issues with detailed execution logs.
Intelligent Alerts
Get notified on Slack, email, or PagerDuty when something needs attention.
Enterprise Security
SOC2 Type II ready. Role-based access control. Data never leaves your VPC.
policy_check: passed
AI Transformations
Let Gemini help you clean and enrich data. Describe what you need in plain English.
Instant integration with the whole stack
Out-of-the-box connections and flexible APIs make setup a breeze.
Snowflake
BigQuery
Redshift
Databricks
Built for the warehouse
Native connections to the most popular cloud data warehouses. Secure, fast, and reliable data loading.
dbt
dbt metadata, docs, & metrics
Deep integration with dbt. Automatically enrich schemas with docs and track model lineage.
GitHub
GitLab
Git it together
Export projects to GitHub or GitLab. Code-first workflows that developers love.
Airflow
Dagster
Prefect
Orchestration
Trigger pipelines from your favorite orchestrator using our robust API or native operators.
Enterprise Security
Connect securely with OAuth. Role-based access control. Secrets encryption at rest.
API
Sensyze API
Everything is programmable. Use our public API to write your own integrations or triggers.
Users love Sensyze
Rated as an industry leader based on customer reviews for flexibility, speed, and reliability.
"Our vision for Notion's data team is that anyone, regardless of technical proficiency, is comfortable using data to answer their own questions — and Sensyze enables that."
AM
Saurabh Sirasao
Software Engineer at Techstreet
Start in 5 minutes.
$ pip install dataflow-core
$ dataflow init my-project
$ dataflow up # Launches on localhost:3000
Why teams choose Sensyze
We don't try to be everything to everyone. We focus on doing data pipelines exceptionally well.
Quality over quantity
20+ connectors that actually work. Maintained, tested, and supported.
Predictable by design
Know exactly when your data will arrive. No mysterious delays.
Partners, not pretenders
We partner with domain experts (dbt, Snowflake) rather than offering half-baked solutions.
Built on solid foundations
Powered by PostgreSQL and Google Gemini. Enterprise-grade infrastructure.
Our Partnership Model
P
dbt
We Scale With You
From the blog
Thoughts on data engineering and building better pipelines.
Predictable pipelines with PostgreSQL
Leveraging transactional guarantees. PostgreSQL offers transactional guarantees that file-based lakes often miss. Sensyze leverages this to ensure your data pipelines are atomic.
AI in data pipelines: Hype vs. reality
Where AI genuinely helps move data better. AI isn't just for generating text. In data pipelines, it's for schema inference, anomaly detection, and semantic mapping.
DuckDB: The Engine That Could
Why DuckDB? It's fast, in-process, and handles analytical queries efficiently without the overhead of a distributed cluster.
The Case for Code-First ETL
Visual tools are great for overview, but code is essential for complexity. Sensyze treats your pipeline as code—committed to Git, reviewable, and testable.
Self-Hosted vs. SaaS
Data sovereignty is critical. With Sensyze, you can deploy in your own VPC. Your data never leaves your infrastructure.