The No-Code ETL Tool for
Enterprise Data Pipelines
DataKnits is a no-code ETL tool that empowers data engineering teams to visually compose complex pipeline graphs, orchestrate executions in real-time, and automatically generate highly optimized PySpark and Scala execution files, with SQL push-down where it makes sense. No black box, no runtime vendor lock-in — just a modern ETL tool built for how enterprise teams actually integrate data in 2026.
from pyspark.sql import SparkSession
import hashlib
spark = SparkSession.builder.appName("DataKnits_Enterprise_Pipeline").getOrCreate()
# Step 1: Introspect and ingest Source dataset with Decryption
df_source = spark.read.format("parquet").load("s3a://dataknits-bronze/transactions/")
# Step 2: Transform - Dynamically partition & hash sensitive identifiers (GDPR/HIPAA compliant)
hash_udf = udf(lambda x: hashlib.sha256(x.encode()).hexdigest(), StringType())
df_transformed = df_source.withColumn("masked_ssn", hash_udf(df_source["ssn"]))
# Step 3: Write out to Delta Lake Lakehouse Sink
df_transformed.write.format("delta").mode("overwrite").save("s3a://dataknits-silver/gold_users/")
Why DataKnits ETL?
Traditional ETL forces you to choose between slow visual platforms and massive manual coding efforts. DataKnits delivers the absolute best of both worlds.
100% Visual Builder
Instantly map schemas, inspect files, and align transformations with a streamlined drag-and-drop workspace. Your data teams build 10x faster.
Native Multi-Engine Code
No proprietary runtime. Our compiler outputs native PySpark or Scala scripts which execute directly on your local system or containerized clusters.
Enterprise Security First
Designed with controls supporting HIPAA and GDPR alignments. Includes AES-256 local field decryption, audit logs, MFA, and SSO out of the box.
Visual Architecture Overview
From connection to orchestration, map your entire pipeline structure with a clean visual path.
1. Ingest / Source
RDBMS, Cloud Warehouses, Streaming Brokers, Flat Files.
2. Transform
Join, Filter, Deduplicate, Encrypt, Mask, Python UDFs.
3. Orchestrate
VCS Tracking, Pre-flight validation, Cron triggers.
4. Load / Target
Delta Lake, Lakehouses, S3, PostgreSQL, Kafka stream.
47 Pre-Built Connectors Supported
Integrate your entire data universe natively. No custom driver coding required.
Built for Rigorous Enterprise Controls
We align our software features and local containerized configurations with the highest global compliance frameworks.
HIPAA
Designed ReadyGDPR
Privacy CompliantSOC 2
Roadmap AlignedISO 27001
Built-in AlignmentPCI-DSS
Secure DataExperience DataKnits
Ready to completely eliminate the manual ETL coding bottleneck? Let our systems engineering architects walk you through our visual builder canvas, show you the direct code compiler, and discuss our early adopter support benefits.
What You'll Find on This Site
DataKnits is a no-code ETL tool for enterprise data integration. Here's what you'll find across the site if you're evaluating it as your next ETL tool.
Product Architecture
How the DataKnits ETL tool works under the hood: the drag-and-drop pipeline canvas, the multi-engine compiler that outputs native PySpark, Scala, or SQL push-down code, and supported cloud/on-premise deployment models.
Solutions & Use Cases
Common data-integration use cases this platform is built for — batch and streaming pipelines, change data capture (CDC), lakehouse ingestion, and data warehouse loading.
Industry Fit
How DataKnits is configured for regulated industries with HIPAA/GDPR-aligned data handling and compliance-ready pipeline controls.
Pricing
License-free, scale-friendly pricing for teams evaluating their options, including a complimentary first-year license for proof-of-concept work.
Security & Trust
The security model behind this ETL tool: AES-256 field-level encryption, audit logging, MFA, SSO, and data-residency controls for enterprise deployments.
Resources & Blog
Technical guides and learning content on building ETL pipelines with DataKnits, for teams researching modern data integration approaches.
Cloud ETL Software
How DataKnits fits as a SaaS data integration platform and automated data pipeline software for teams modernizing their data stack in 2026.
Connector Guides
Step-by-step pipelines for specific source-to-destination combinations, like PostgreSQL to Snowflake or Salesforce to BigQuery.
ETL Tool Alternatives
Evaluating alternatives to Fivetran, Hevo Data, Airbyte, or Matillion? See how DataKnits' pricing and execution model compares.