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    Nile manages storage, compute, lineage, and versioning as one system, so AI agents can safely run data workflows end to end.

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    Nile data lake visualization
    WHAT IS NILE?

    One platform for your entire data stack

    Ask questions about your data, manage your pipelines, and visualize insights in one platform. Nile takes care of all the infrastructure: compute, storage, lineage, versioning, and rollbacks.

    NileNile Studio
    ?
    Inventory Analysis×
    Product Performance×
    Store Trends×
    Customer LTV×
    New Query×
    +
    1
    Results 1
    segment ↕transaction_count ↕total_revenue ↕total_margin ↕avg_transaction_value ↕customer_count ↕
    New17492383293.629999991026698.95999999941362.660737564321862
    Loyal13531856418.0100000002803774.88999999851372.07539541759247
    Basic12271684731.5600000026719433.08000000041373.049356153221453
    VIP14231626635.0800000026491684.45999999851143.10265635980546
    Premium11361370029.4599999967490667.99999999971206.011848591546448
    Standard8801224848.8400000017519819.421391.873681818183742
    Limit:100
    ⊞ 6 rows
    Results 1

    Total Revenue by Customer Segment

    Compares total revenue across customer segments

    2400.0k1800.0k1200.0k600.0k0
    New
    Loyal
    Basic
    VIP
    Premium
    Standard

    Customer Segment Revenue Distribution

    Proportion of revenue by segment

    Basic
    Loyal
    New
    Premium
    Standard
    VIP

    Average Transaction Value by Segment

    Compares average transaction value across segments

    Standard
    Basic
    Loyal
    New
    Premium
    VIP
    03507001.1k1.4k
    Why you need Nile

    AI cannot safely operate on your data today

    Agentic AI works for code because Git provides the safety net—mistakes can be rolled back instantly. Data systems have no such backstop.

    Engineers Buried in Maintenance

    40% of time lost to firefighting. Pipeline changes take days, not hours.

    40%of time on maintenance

    Fragmented Toolchains

    dbt, Airflow, observability—humans manually stitch workflows across 10+ tools.

    10+disconnected tools

    Recovery Takes Weeks

    One bad query corrupts everything. Backfill campaigns cost $50K–200K per incident.

    $50K+cost per incident

    AI Has No Safe Backstop

    No unified lineage. No real versions. No way for AI to experiment safely.

    ZeroAI-ready data platforms
    The Solution

    A unified platform purpose-built for AI-driven workflows

    Nile gives AI the context, control, and safety to manage data workflows end-to-end. Unlike fragmented point tools, everything works together from the ground up.

    Fully managed data lake and compute
    Native storage with built-in ETL
    Full lineage and version history
    Safe recovery and instant rollback
    AI operates the system, plans and executes workflows
    Humans supervise and approve outcomes
    nile-console
    $nile rollback sales --to version-122

    → Analyzing dependency graph...

    → Found 12 downstream tables

    → Cascading rollback in progress...

    ✓ Rollback complete in 2.3s

    12

    Tables Updated

    2.3s

    Recovery Time

    100%

    Data Integrity

    HOW IT WORKS

    Stop managing infrastructure. Start shipping.

    Get started in minutes. Scale to petabytes. Let AI handle the complexity.

    STEP 01

    Connect Your Data

    Point to any S3 location—we auto-detect schema and create queryable tables instantly. Import wizard handles partitions, data types, everything.

    IMPORT FROM 's3://your-bucket/data/'
    STEP 02

    Build Pipelines Naturally

    Write SQL or Python. Click 'Save as Table' and your query becomes a scheduled, versioned, dependency-tracked pipeline. No YAML files.

    SAVE AS TABLE sales_summary
    STEP 03

    Let AI Operate

    Ask questions in natural language. AI understands your schemas, lineage, and can execute queries, generate reports, and manage workflows.

    Ask: 'Are all of tables loaded with the latest data?'
    STEP 04

    Recover Instantly

    Something went wrong? Click rollback and the entire dependency tree cascades automatically. Minutes, not weeks.

    nile rollback sales --to version-122
    AI-POWERED INSIGHTS

    Uncover insights faster with AI agents

    Our AI agents analyze your data, suggest visualizations, and surface hidden patterns. Ask questions in natural language and get instant answers backed by your actual data.

    NileNile Studio
    ?
    Revenue Ta...×
    ETL Job St...×
    Data Quali...×
    Pipeline F...×
    Schema Exp...×
    Data Fresh...×
    New Chat×
    +

    Start a conversation

    Ask your data questions, AI assistant has full knowledge of your datasets!

    Ask your data questions...
    DATA LINEAGE

    Understand your data lineage

    Visualize how your tables connect and trace data flow across your entire pipeline. See dependencies, detect issues, and maintain data quality with automatic lineage tracking.

    NileNile Studio
    ?
    Inventory Analysis×
    Product Performance×
    Store Trends×
    Customer LTV×
    Revenue Report×
    sales×

    finance.sales

    managed
    v1.main @ v1.0.14(current)
    OverviewSchemaLineageJobsVersions & BranchesDefinition
    Direction:
    Layout:
    finance / customersColumns (4)customer_idstringcustomer_namestringemailstringphonestringJobs (1)customer-generator2026-01-192026-01-182026-01-17finance / productsColumns (4)product_idstringproduct_namestringcategorystringsubcategorystringJobs (1)product-generator2026-01-192026-01-182026-01-17finance / storesColumns (4)store_idstringstore_namestringstore_typestringregionstringJobs (1)store-generator2026-01-192026-01-182026-01-17finance / salesColumns (4)transaction_idstringsale_datedatetransaction_timetimestampcustomer_idstringJobs (1)sales-generator2026-01-192026-01-182026-01-17finance / product_performanceColumns (4)report_datedateproduct_idstringproduct_namestringbrandstringJobs (1)product-aggregator2026-01-192026-01-182026-01-17finance / executive_dashboardColumns (4)report_datedateregionstringtotal_revenuedoubletotal_costdoubleJobs (1)executive-report2026-01-192026-01-182026-01-17finance / sales_by_storeColumns (4)report_datedatestore_idstringstore_namestringstore_typestringJobs (1)store-aggregator2026-01-192026-01-182026-01-17finance / sales_trendsColumns (4)report_datedateperiod_typestringtotal_salesdoubleavg_daily_salesdoubleJobs (1)sales-trends-calculator2026-01-192026-01-182026-01-17
    8 tables7 edges
    Declared (7)
    Detected (0)
    External
    ETL Codefinance.sales
    1"""
    2Self-generating sales fact table.
    3Generates 250-1000 sales transactions per job run by sampli
    4Each record is traceable via job_run_ts timestamp.
    5
    6Includes cost/margin columns needed by downstream aggregati
    7"""
    8
    9def transform_data(spark):
    10 from datetime import datetime
    11 from pyspark.sql.functions import (
    12 rand, col, expr, lit, current_timestamp, current_da
    13as floor, when, round spark_round
    14 )
    15
    16 import random
    17
    18 job_run_ts = datetime.now().isoformat()
    19
    20 # Read from upstream dimensions
    21 products = spark.table('finance.products').filter(col(
    22 customers = spark.table('finance.customers')
    23 stores = spark.table('finance.stores')
    24
    25 num_transactions = random.randint(, )2501000
    26
    27 # Sample from dimensions
    28 sampled_products = products.orderBy(rand()).limit(min(
    29 sampled_customers = customers.orderBy(rand()).limit(min
    30 sampled_stores = stores.orderBy(rand()).limit(min(, s20
    31
    32 # Cross join and sample to create transactions
    ...110 lines
    Core Primitives

    Four primitives that make AI reliable

    Built from the ground up—not bolted on. These foundations enable AI to safely operate on your data.

    Real Data Versions

    Data, schema, and transformations versioned together with Git-like branching.

    Zero-ETL Pipelines

    Write a query, save as table—instant production pipeline with scheduling.

    Built-in Lineage

    Automatic dependency tracking at partition level. AI explains impact before acting.

    Safe Recovery

    Point-in-time rollbacks cascade across tables and teams automatically.

    enables

    Agentic Control Layer

    A context-aware, reliable interface for AI to plan, execute, and validate workflows. Powered by real versions, lineage, and recovery—AI can operate safely while humans supervise.

    AI-Native Platform
    Real Data VersionsZero-ETL PipelinesBuilt-in LineageSafe Recovery

    Works seamlessly with your existing stack

    Powerful integrations, zero friction

    dbt
    dbt
    Apache Airflow
    Apache Airflow
    Snowflake
    Snowflake
    Databricks
    Databricks
    AWS
    AWS

    Ready to Dive In?

    Join the data teams who are shipping faster, recovering instantly, and trusting AI with their workflows.

    Or try the live demo
    ✓ Free tier available✓ No credit card required
    Downloads

    Get Started with Nile

    Download the desktop application for your platform and start managing your data with version control.

    macOS

    Version 1.2.9

    Windows

    Version 1.2.9

    Linux

    Version 1.2.9

    View system requirements and more