SnapLogic alternative — SnapLogic vs Skippr

SnapLogic is iPaaS. You draw a pipeline of Snaps. A Snaplex runs it: CloudPlex in their cloud, or GroundPlex in yours. The price is the same either way. Packages are Essential, Professional, and Enterprise One. Official copy says unlimited pipelines, unlimited data movement, and unlimited integrations on that package. Core Snap Packs (databases, transforms, binary) sit in the base. Premium Snap Packs are a-la-carte. Ultra Pipelines, Resumable Pipelines, larger nodes, extra Orgs, and the ELT Snap Pack are configuration add-ons. An older SnapLogic pricing post listed premium packs at 45,000 USD (tier one) and 15,000 USD (tier two); current cards are quote. The Open Table Iceberg Snap Pack talks to an Iceberg REST catalog (Polaris and peers) on S3-compatible storage through Spark SQL (Iceberg 1.6.1, Spark 3.5.7): Select with time travel, Insert with inferred schema, Execute for DDL/DML. Snowflake CDC reads Snowflake Streams. Ultra can poll those. This is not a Streamhouse. There is no Iceberg ∪ WAL in SnapLogic.

Skippr is an open Streamhouse you run as one Rust binary. Write skippr.yml (or the same thing in Python), discover, sync. You query live state over Iceberg ∪ WAL, and the history is ordinary Iceberg in your bucket. No Snaplex. ELT into a warehouse is one path, not the product.

Feature	Skippr	SnapLogic
Deploy	Single Rust binary, your VPC or on-prem	Control plane plus CloudPlex or GroundPlex
Schema	In-stream evolution, sibling columns	Snap mapping. Iceberg Insert can infer
Storage	Open Iceberg on Parquet you own	Target you wired. Iceberg via the Open Table pack
CDC	Log-based; fails closed if the dest cannot honour	Snowflake Streams snap. Ultra for low-latency polls. Not a log tail
Query	`skipprd query` on Iceberg ∪ WAL; history in any Iceberg engine	Spark SQL in the Iceberg pack, or the destination after the pipeline
Pricing	Free self-hosted engine	Quote package. Unlimited data. Premium Snaps and Ultra extra.

What SnapLogic is good at

A Snap that already wraps Workday or a warehouse load without a second tool. That is the product. Unlimited volume on a fixed package is why finance teams compare it to MAR billing. GroundPlex keeps the row in your VPC. If the job is "SaaS to warehouse on a Snaplex," that is a real product.

Where the job is wider

SnapLogic is a pipeline canvas. It is not a Streamhouse. There is no Iceberg ∪ WAL. There is no skipprd query on in-flight rows. Iceberg writes go through Spark SQL in a Snap Pack. You still query Athena or Trino after.

Package math is the ops. The base is unlimited bytes. The quote grows when you add a premium Snap, Ultra, or another Org. Snowflake CDC is Streams on Snowflake, not Postgres WAL. Ultra Scheduling becomes the default for Ultra subscribers in August 2026.

Skippr will not run a Snap pipeline. Skippr also will not match the SaaS Snap catalog. If the job is "iPaaS we already staff," SnapLogic is the narrower tool. If the job is live SQL on Iceberg you run, SnapLogic was never that.

Getting started

Install skipprd from the install guide, or pip install skippr. The three tabs write the same skippr.yml. Then discover, sync, and query.

YAMLCLIPython

yaml

skippr:
  workspace: analytics
  skipprd_el_storage_mode: local

pipelines:
  orders:
    data_source: data_sources.app_db
    data_sink: data_sinks.lake

data_sources:
  app_db:
    Postgres:
      host: db.internal
      user: skippr_reader
      password: ${APP_DB_PASSWORD}
      database: app
      tables: [orders, customers]
      cdc_mode: snapshot_then_cdc

data_sinks:
  lake:
    AthenaIceberg:
      warehouse: s3://my-iceberg-warehouse/
      glue_database_name: analytics
      athena_workgroup_name: primary
      athena_results_s3_bucket: my-athena-results
      region: us-east-1
    schema_sink: schema_sinks.lake_schema

schema_sinks:
  lake_schema:
    AthenaIceberg:
      warehouse: s3://my-iceberg-warehouse/
      glue_database_name: analytics
      athena_workgroup_name: primary
      athena_results_s3_bucket: my-athena-results
      region: us-east-1

bash

skipprd --workspace analytics --storage-mode local connect data-source postgres \
  --pipeline orders \
  --name app_db \
  --host db.internal \
  --user skippr_reader \
  --password '${APP_DB_PASSWORD}' \
  --database app \
  --tables orders \
  --tables customers \
  --cdc-mode snapshot_then_cdc

skipprd connect data-sink athenaiceberg \
  --pipeline orders \
  --name lake \
  --warehouse s3://my-iceberg-warehouse/ \
  --glue-database-name analytics \
  --athena-workgroup-name primary \
  --athena-results-s3-bucket my-athena-results \
  --region us-east-1

skipprd connect schema-sink athenaiceberg \
  --pipeline orders \
  --name lake_schema

python

from skippr import (
    Config,
    DataSinkAthenaIceberg,
    DataSourcePostgres,
    DataSourcePostgresSourceCdcMode,
    EnvRef,
    LocalStorage,
    Pipeline,
)

cfg = Config().workspace("analytics").storage(LocalStorage())

app_db = cfg.data_source(
    "app_db",
    DataSourcePostgres(
        host="db.internal",
        user="skippr_reader",
        password=EnvRef("APP_DB_PASSWORD"),
        database="app",
        tables=["orders", "customers"],
        cdc_mode=DataSourcePostgresSourceCdcMode.SNAPSHOTTHENCDC,
    ),
)

lake = cfg.data_sink(
    "lake",
    DataSinkAthenaIceberg(
        warehouse="s3://my-iceberg-warehouse/",
        glue_database_name="analytics",
        athena_workgroup_name="primary",
        athena_results_s3_bucket="my-athena-results",
        region="us-east-1",
    ),
    schema_sink="lake_schema",
)

cfg.pipeline("orders", Pipeline(data_source=app_db, data_sink=lake))
cfg.save("skippr.yml")

bash

export APP_DB_PASSWORD='your-postgres-password'
skipprd discover --pipeline orders
skipprd sync --pipeline orders --once
skipprd query "SELECT count(*) FROM analytics.orders"

Which to choose

Choose SnapLogic if you want Snaps into SaaS and warehouses, and a pipeline after the Snaplex is enough.

Choose Skippr if you want one binary, live SQL, and Iceberg files that stay yours. Skippr will not run a Snap.

Install from Install. Connector and query reference live in Developer Docs. For optional onboarding in your VPC, Enterprise Jumpstart or Contact.

SnapLogic alternative — SnapLogic vs Skippr ​

What SnapLogic is good at ​

Where the job is wider ​

Getting started ​

Which to choose ​

SnapLogic alternative — SnapLogic vs Skippr

What SnapLogic is good at

Where the job is wider

Getting started

Which to choose