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Data Integration Platform That Doesn't Charge You Per Row

200+ connectors. CDC, batch, streaming. Reverse ETL. One platform. One bill.

Data integration shouldn't require five vendors. Logiciel's platform handles ingestion, transformation, and reverse-ETL across 200+ sources — without per-row pricing or per-destination fees. For US data teams that have outgrown the per-tool model.

See Logiciel in Action

Your integration spend is invisible until it isn't

Common patterns we see:

  • Fivetran for ingestion, Hightouch for reverse-ETL, Census for activation, plus a homegrown CDC layer. Per-vendor billing for ingestion, reverse-ETL, and activation is procurement complexity disguised as best-of-breed strategy.
  • Each tool with a different price model, none of them predictable. Variable price models per vendor make budget forecasting structurally hard, which finance teams legitimately reject.
  • Custom connectors for the sources nobody supports — built once, abandoned twice. Custom connector maintenance is recurring cost that doesn't appear on any line item but consumes 5-15% of data engineering capacity.

If you're searching for a data integration platform, you've felt the per-tool tax

Teams here typically need:

  • One platform for ingestion + reverse-ETL + transformation, not three. Ingestion + reverse-ETL + transformation in one platform eliminates a class of integration cost that adds up to material vendor management overhead.
  • Per-pipeline pricing, not per-row roulette. Per-pipeline pricing aligns the bill with operational reality, not with data volume — predictable at scale.
  • Custom connector SDK for the long tail of sources. Custom connector SDK matters because the long tail of sources will never have managed connectors; extensibility is structural.

What you get with Logiciel

Integration as one product.

  • Bidirectional — ingest from 200+ sources, push to 100+ destinations. Bidirectional ingest from 200+ sources to 100+ destinations means most integration patterns are covered without custom development.
  • Predictable pricing — per pipeline, not per row or per destination. Predictable per-pipeline pricing eliminates the row-based or destination-based overage surprises that punish business growth.
  • Open SDK — extend the connector library in Python or Go. Open Python or Go SDK means custom connector velocity is bounded by your engineering capacity, not vendor partner programs.
  • Native observability — freshness, volume, schema on every pipeline. Native observability means schema drift, freshness, and anomaly detection apply to every pipeline without additional configuration.

Where this fits — industries we serve in the US

FinTech & Financial Services

Trading data, risk models, regulatory reporting — sub-second SLAs and audit-ready governance.

PropTech & Real Estate

Listing data, transaction pipelines, geospatial analytics — multi-source consolidation.

Healthcare & Life Sciences

EHR integration, claims pipelines, clinical analytics — HIPAA-aware infrastructure.

B2B SaaS

Product analytics, customer 360, usage-based billing — embedded and operational data.

eCommerce & Marketplaces

Inventory, pricing, order, and customer pipelines — real-time and high-throughput.

Construction & Industrial Tech

IoT, project, and supply-chain data — operational analytics on hybrid stacks.

Engagement models that fit your stage

Dedicated Pod

Embedded data engineering pod aligned to your sprint cadence — typically 3–6 engineers + a US lead.

Staff Augmentation

Senior data engineers, architects, and SMEs slotted into your team to unblock specific work.

Project-Based Delivery

Fixed-scope, milestone-driven engagements with clear deliverables and outcomes.

From first call to first production pipeline

Discover

We map your stack, workloads, team, and constraints in a working session — not an RFP response.

Architect

Reference architecture grounded in your reality, with capacity, cost, and migration plans.

Build

Iterative implementation with weekly demos, code reviews, and your team in the loop.

Operate

Managed operations or knowledge transfer — your choice. Both with US-aligned coverage.

Optimize

Continuous tuning of cost, performance, and reliability against measurable SLAs.

Integration capabilities

Source Connectors

Databases, SaaS apps, files, APIs, queues — 200+.

Destination Connectors

Warehouses, lakes, operational DBs, SaaS — 100+.

Reverse ETL

Push warehouse data to Salesforce, HubSpot, Marketo, Iterable.

Custom Connectors

Open Python/Go SDK with CI integration.

CDC

Real-time change capture from databases.

Streaming

Kafka, Kinesis, Pub/Sub native.

Questions buyers ask before they book

One platform, predictable pricing, custom connector support — typically 30-50% lower TCO at scale. Fivetran handles ingestion (per-row pricing); Hightouch handles activation/reverse-ETL (per-destination pricing); together they're two separate vendors with two separate billing models, two separate UIs, two separate SLAs. Logiciel includes both ingestion and reverse-ETL in per-pipeline pricing with shared observability and lineage extending end-to-end (source → warehouse → activation). For US customers running 100-200 connectors with significant reverse-ETL volume, Logiciel typically saves $50-200K annually versus the Fivetran + Hightouch combination. Custom connector support means you're not blocked when a vendor doesn't support your niche source.
Yes — push warehouse data to Salesforce, HubSpot, Marketo, Iterable, Customer.io, Braze, Zendesk, Intercom, NetSuite, and 100+ other destinations as part of standard pricing. No separate Hightouch contract, no per-destination fees, no separate observability. Reverse-ETL pipelines get the same lineage, observability, and SLA management as ingestion pipelines, so the full data journey (source → warehouse → activation tool) is visible end-to-end. For US customers running marketing operations or sales operations workflows, this typically eliminates a separate vendor and unifies the data team's view of all pipeline-related work into one platform.
Per active pipeline, predictable at scale — not per row, not per destination, not per seat. Pipelines are tiered by data volume per day and complexity (single-stage vs multi-stage with stateful transforms or reverse-ETL fan-out). Mid-market customers (50-200 connectors, moderate volume) typically pay $30-90K ARR for the full integration platform including reverse-ETL. Enterprise tiers (500+ connectors, advanced governance, dedicated TAM, US-citizen support) start at $200K ARR. We benchmark TCO at evaluation against your actual Fivetran + Hightouch invoices — the savings claim survives CFO review. Pricing is transparent and contractually capped.

Most teams ship their first source-to-warehouse pipeline in under 30 minutes — connect a database or SaaS source, choose a destination, and Logiciel handles credentials, schema discovery, initial sync, and ongoing CDC automatically. Day-one onboarding typically gets 5-10 sources running. By day 7, most customers have 20-50 sources operational with observability, schema policies, and reverse-ETL configured. Full migration from a homegrown setup or competitor combination (Fivetran + Hightouch + custom CDC) typically takes 6-12 weeks for 100-200 connectors. The longest pole is usually credential management and source-system access requests, not Logiciel configuration.

Yes — open Python or Go SDK with full local testing, CI integration, and standard development cycle. Custom connectors get the same observability, retry logic, schema evolution, and governance contract as platform-managed connectors. Common cases: niche industry SaaS (vertical CRM, EHR, construction software, FinTech tools), internal APIs, partner data exchanges, custom CDC patterns for legacy databases. Most customers ship a working custom connector in 1-2 sprints. Connectors are versioned in your own Git repo, so you maintain ownership of the code regardless of vendor relationship — this is structurally important for enterprise customers concerned about lock-in. We provide reference connector templates for common patterns.
Built-in — freshness, volume, schema, and anomaly detection on every pipeline (source-side and destination-side), with lineage-aware alert routing. Schema drift in a Salesforce custom field triggers alerts to the upstream owner (Salesforce admin) and downstream consumers (analyst, ML team) simultaneously. Data quality at integration boundaries catches the typical failure modes: source-system schema changes, API rate limit failures, partial data due to vendor outages, and reverse-ETL destination-side validation failures. The unified pipeline observability means you don't run a separate quality tool on top of integration; quality is part of the integration product.

Yes — in-VPC and self-hosted deployment available for regulated industries (financial services with SOX/GLBA, healthcare with HIPAA, government-adjacent with FedRAMP). Self-hosted runs in your AWS, Azure, or GCP account; data never leaves your perimeter. Customer-managed encryption keys via your KMS. SCIM, SSO, and audit logging integrate with your existing IAM and SIEM. Self-hosted deployments are priced 30-50% above SaaS to reflect the additional support overhead, but the trade-off is acceptable for regulated buyers. Update channels are isolated for FedRAMP-aligned and air-gapped deployments. We've supported HIPAA-aligned in-VPC deployments at Fortune 500 scale.