CData Software provides data connectivity and integration solutions that enable organizations to connect applications, databases, and cloud services through standardized drivers and APIs. The company's core products—CData Connect Cloud, CData Sync, and individual JDBC/ODBC/ADO.NET drivers—address data access, replication, and integration challenges across hybrid and multi-cloud environments.
CData's pricing varies significantly based on deployment model (cloud-hosted vs. self-hosted), the number of data sources or connectors required, user count, data volume, and contract structure. Published list pricing exists for some products, but negotiated outcomes often differ materially based on scope, term length, and competitive context.
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This guide combines CData Software's published pricing with Vendr's dataset and analysis to break down CData pricing in 2026, including:
Whether you're evaluating CData Software for the first time or preparing for renewal, this guide is designed to help you budget accurately and negotiate with clearer market context.
CData Software's pricing structure depends on which product you're purchasing and how you deploy it. The company offers three primary product lines:
List pricing for CData products ranges from approximately $1,000–$3,000 annually for individual drivers to $15,000–$100,000+ annually for enterprise Connect Cloud or Sync deployments with multiple connectors and high data volumes. Actual contract values vary widely based on:
Based on anonymized CData transactions in Vendr's platform, buyers often achieve below-list pricing through volume commitments, multi-year terms, and competitive positioning. Total contract values for mid-market deployments typically range from $20,000–$75,000 annually, while enterprise implementations can exceed $150,000 annually depending on scope.
Get your custom CData pricing estimate based on your specific connector requirements, data volume, and deployment preferences.
CData Connect Cloud is the company's flagship cloud-hosted connectivity platform, providing API-based access to hundreds of data sources without requiring local driver installation.
Pricing Structure:
CData Connect Cloud pricing is typically based on a combination of:
List pricing for Connect Cloud generally starts around $15,000–$25,000 annually for small deployments (3–5 connectors, moderate API volume) and scales to $60,000–$120,000+ annually for enterprise configurations with 10+ connectors and high throughput requirements.
Observed Outcomes:
Buyers often achieve below-list pricing, particularly when committing to multi-year terms or bundling multiple CData products.
Benchmarking context:
See what similar companies pay for Connect Cloud based on connector count and data volume.
CData Sync is a data replication and ETL solution available in both cloud-hosted and self-hosted deployment models.
Pricing Structure:
CData Sync pricing typically includes:
List pricing for CData Sync generally ranges from $10,000–$20,000 annually for small deployments (2–3 sources, moderate row volumes) to $40,000–$80,000+ annually for enterprise configurations with many sources and high-volume replication.
Observed Outcomes:
Multi-year commitments and competitive evaluations commonly yield discounts. Buyers evaluating both Sync and Connect Cloud together often negotiate bundle pricing that reduces per-product costs.
Benchmarking context:
Compare CData Sync pricing with Vendr to see what similar organizations pay based on source count, data volume, and deployment model.
CData offers individual connectivity drivers (JDBC, ODBC, ADO.NET, etc.) for specific data sources, sold separately from the platform products.
Pricing Structure:
Individual driver pricing is typically based on:
List pricing for individual CData drivers generally ranges from $1,000–$3,000 annually per driver per seat or deployment. Volume discounts apply when purchasing multiple drivers or seats.
Observed Outcomes:
Buyers purchasing multiple drivers or combining driver purchases with platform products often achieve discounts through bundling and volume commitments.
Benchmarking context:
Explore CData driver pricing based on driver count, seat volume, and licensing model.
Understanding the key cost drivers helps you model total expenses accurately and identify negotiation opportunities.
The number of distinct data sources you need to connect is the primary pricing dimension for both Connect Cloud and Sync. Each additional connector typically adds incremental cost, though volume-based pricing tiers often reduce per-connector costs at scale.
Cost impact:
Adding 5–10 connectors can increase annual costs by $15,000–$40,000 depending on product and tier.
For CData Sync, monthly row volumes or data processed directly impact pricing. For Connect Cloud, API call volumes or data throughput may trigger tier changes or overage charges.
Cost impact:
High-volume deployments (millions of rows synced monthly or high API call volumes) can double or triple base pricing compared to low-volume configurations.
Cloud-hosted solutions (Connect Cloud, cloud-hosted Sync) typically carry higher annual costs but eliminate infrastructure management. Self-hosted Sync deployments may have lower licensing costs but require internal infrastructure and maintenance.
Cost impact:
Cloud-hosted deployments often cost 20–40% more annually than equivalent self-hosted licensing, though total cost of ownership may favor cloud depending on internal resource costs.
The number of users, developer seats, or concurrent API keys affects pricing, particularly for Connect Cloud and individual drivers.
Cost impact:
Each additional user tier or developer seat typically adds $500–$2,000 annually depending on product and volume.
CData offers different support tiers, including standard support (typically included), premium support with faster response times, and enterprise SLAs with dedicated resources.
Cost impact:
Premium support typically adds 15–25% to base licensing costs; enterprise SLAs can add 25–40% or more.
Multi-year commitments (2–3 years) typically unlock lower annual pricing compared to annual contracts.
Cost impact:
Two- or three-year commitments often yield 10–20% lower annual pricing compared to one-year terms.
Beyond base licensing, several additional costs commonly appear in CData deployments.
CData's standard licensing typically includes maintenance and support for the first year, but renewal pricing for subsequent years may be quoted separately or auto-renew at list rates.
Cost impact:
Annual maintenance renewal is typically 18–22% of the original license value and may increase annually if not locked in during initial negotiation.
Planning guidance:
Negotiate multi-year maintenance rates upfront to avoid annual increases. Lock in renewal pricing for the full contract term where possible.
Adding new connectors mid-contract often triggers additional fees. CData may quote these at list pricing unless expansion pricing is pre-negotiated.
Cost impact:
Mid-contract connector additions can cost 20–40% more than if included in the original contract.
Planning guidance:
Estimate future connector needs and negotiate pre-approved expansion pricing or connector packs during initial contracting.
Exceeding contracted API call volumes, row limits, or user counts can trigger overage fees, which are often priced at premium rates.
Cost impact:
Overage charges can add 10–30% to annual costs if usage grows beyond contracted limits.
Planning guidance:
Build headroom into initial contracts (e.g., 20–30% above current usage) and negotiate reasonable overage rates or automatic tier upgrades.
Complex deployments, custom connector development, or migration assistance may require professional services, which are typically quoted separately.
Cost impact:
Professional services engagements range from $5,000–$50,000+ depending on scope and complexity.
Planning guidance:
Clarify what implementation support is included in base pricing and request detailed SOWs for any additional services before committing.
Self-hosted CData Sync deployments require server infrastructure, which may involve cloud hosting costs or on-premises hardware.
Cost impact:
Infrastructure costs vary widely but can add $2,000–$10,000+ annually depending on scale and cloud provider.
Planning guidance:
Factor infrastructure costs into total cost of ownership comparisons between cloud-hosted and self-hosted options.
Actual CData contract values vary significantly based on product mix, deployment model, connector count, and data volume. Based on anonymized transactions in Vendr's dataset, here's what buyers commonly pay across different deployment profiles:
Organizations with limited connector needs and moderate data volumes typically deploy individual drivers or small Connect Cloud/Sync configurations.
Typical annual contract value: $8,000–$25,000
Common configurations: 1–5 connectors, fewer than 10 users, moderate API call or row volumes, annual contracts with standard support.
Observed outcomes:
Buyers in this segment often achieve below-list pricing through annual commitments and competitive positioning against alternatives like Airbyte or open-source solutions.
Mid-sized organizations with broader integration needs typically deploy Connect Cloud or Sync with multiple connectors and higher throughput requirements.
Typical annual contract value: $25,000–$75,000
Common configurations: 5–15 connectors, 10–50 users, high API call or row volumes, multi-year contracts with premium support.
Observed outcomes:
Volume-based discounting and multi-year commitments commonly yield below-list pricing in this segment.
See what similar companies pay for CData based on your specific connector count, data volume, and deployment model.
Large enterprises with extensive integration needs, high data volumes, and complex deployment requirements typically negotiate custom enterprise agreements.
Typical annual contract value: $75,000–$200,000+
Common configurations: 15+ connectors, 50+ users, very high API call or row volumes, multi-year contracts with enterprise SLAs and dedicated support.
Observed outcomes:
Enterprise buyers often achieve below-list pricing through competitive evaluations, multi-year commitments, and bundled product purchases.
Benchmarking context:
Vendr's dataset shows that enterprise buyers who evaluate multiple alternatives (Fivetran, Airbyte, MuleSoft) and negotiate multi-year terms typically achieve the strongest pricing outcomes. Explore enterprise CData pricing benchmarks for your specific requirements.
CData pricing is negotiable, and buyers who prepare strategically often achieve materially better outcomes. Based on anonymized CData deals in Vendr's dataset, the following strategies consistently produce stronger results.
CData's sales team responds more favorably to buyers who engage 60–90 days before a required decision date. Early engagement creates space for competitive evaluation, proof-of-concept testing, and multiple negotiation rounds.
Timing leverage:
CData, like most software vendors, faces quarterly and annual sales targets. Buyers with flexibility to sign near quarter-end (March 31, June 30, September 30, December 31) often unlock additional concessions as sales teams work to close pipeline.
Rather than negotiating discounts off CData's list pricing, anchor the conversation to your available budget and internal approval thresholds. This shifts the negotiation dynamic and often produces better outcomes than percentage-based discount requests.
Example framing: "Our approved budget for data connectivity is $40,000 annually. We need to stay within that threshold to move forward without additional approval cycles."
CData competes directly with Fivetran, Airbyte, Stitch, and other data integration platforms. Buyers who conduct parallel evaluations and reference competitive pricing often achieve better outcomes.
Competitive benchmarks: Compare CData pricing to alternatives to understand relative positioning and strengthen your negotiation leverage.
CData typically offers lower annual pricing for two- or three-year commitments compared to annual contracts. Multi-year terms also lock in pricing and reduce future renewal risk.
Trade-off:
Multi-year commitments reduce flexibility if requirements change, so ensure you build adequate headroom for growth and negotiate expansion pricing upfront.
CData contracts often include usage limits (API calls, row volumes, connector counts). Negotiating pre-approved expansion pricing and reasonable overage rates during initial contracting prevents expensive mid-term additions.
Example ask: "We expect to add 3–5 connectors over the next 18 months. Can we lock in expansion pricing at the same per-connector rate as our initial contract?"
Buyers purchasing multiple CData products (e.g., Connect Cloud + Sync, or multiple drivers) often achieve better per-product pricing through bundling.
Bundling leverage:
If evaluating both Connect Cloud and Sync, negotiate a combined package price rather than purchasing separately.
CData's annual maintenance and support renewal pricing can increase over time if not locked in during initial contracting. Negotiate fixed renewal rates for the full contract term.
Example ask: "We'd like to lock in maintenance renewal at 18% of license value for the full three-year term, with no annual increases."
These insights are based on anonymized CData Software deals in Vendr's dataset across a wide range of company sizes and contract structures. Buyers can explore these insights directly using Vendr's free pricing and negotiation tools:
CData competes in the data connectivity and integration market against both modern cloud-native platforms and traditional integration vendors. Pricing structures and total costs vary significantly across alternatives.
Fivetran is a leading cloud-native data integration platform focused on automated ELT (extract, load, transform) for analytics use cases.
| Pricing component | CData Software | Fivetran |
|---|---|---|
| Pricing model | Connector count + data volume/API calls | Monthly Active Rows (MAR) + connector count |
| Entry-level annual cost | $15,000–$25,000 | $18,000–$30,000 |
| Mid-market annual cost | $40,000–$75,000 | $50,000–$100,000 |
| Enterprise annual cost | $100,000–$200,000+ | $150,000–$300,000+ |
| Deployment options | Cloud-hosted and self-hosted | Cloud-hosted only |
| Support/maintenance | Typically 18–22% annually | Included in subscription |
Airbyte is an open-source data integration platform with both self-hosted and cloud-managed options.
| Pricing component | CData Software | Airbyte |
|---|---|---|
| Pricing model | Connector count + data volume/API calls | Credits based on data volume (cloud); free (open-source) |
| Entry-level annual cost | $15,000–$25,000 | $0 (open-source) / $12,000–$20,000 (cloud) |
| Mid-market annual cost | $40,000–$75,000 | $30,000–$60,000 (cloud) |
| Enterprise annual cost | $100,000–$200,000+ | $80,000–$150,000+ (cloud) |
| Deployment options | Cloud-hosted and self-hosted | Open-source self-hosted and cloud-managed |
| Support/maintenance | Typically 18–22% annually | Included in cloud subscription; community support for open-source |
Stitch is a cloud-based ETL platform (now part of Talend) focused on simple, automated data replication for analytics.
| Pricing component | CData Software | Stitch |
|---|---|---|
| Pricing model | Connector count + data volume/API calls | Rows replicated per month |
| Entry-level annual cost | $15,000–$25,000 | $12,000–$18,000 |
| Mid-market annual cost | $40,000–$75,000 | $25,000–$50,000 |
| Enterprise annual cost | $100,000–$200,000+ | $60,000–$120,000 |
| Deployment options | Cloud-hosted and self-hosted | Cloud-hosted only |
| Support/maintenance | Typically 18–22% annually | Included in subscription |
MuleSoft is an enterprise integration platform (iPaaS) offering API management, data integration, and application connectivity at scale.
| Pricing component | CData Software | MuleSoft |
|---|---|---|
| Pricing model | Connector count + data volume/API calls | Core-based licensing + connector count |
| Entry-level annual cost | $15,000–$25,000 | $40,000–$80,000 |
| Mid-market annual cost | $40,000–$75,000 | $100,000–$200,000 |
| Enterprise annual cost | $100,000–$200,000+ | $250,000–$500,000+ |
| Deployment options | Cloud-hosted and self-hosted | Cloud-hosted and hybrid |
| Support/maintenance | Typically 18–22% annually | Typically 20–25% annually |
Based on CData Software transactions in Vendr's database over the past 12 months:
Volume-based discounting applies when purchasing multiple connectors, products, or driver licenses. Buyers who engage near quarter-end (March 31, June 30, September 30, December 31) and reference competitive alternatives often achieve stronger outcomes.
Negotiation guidance: Vendr's CData negotiation playbooks provide supplier-specific tactics, timing strategies, and example framing by deal type.
Budget requirements depend on product mix, connector count, data volume, and deployment model.
Based on anonymized CData transactions in Vendr's platform:
These ranges include base licensing and standard support. Add 10–20% for premium support, professional services, or infrastructure costs (self-hosted deployments).
Benchmarking context: Get a custom CData price estimate based on your specific connector requirements, data volume, and deployment preferences.
CData contracts typically include:
Vendr's dataset shows buyers who negotiate fixed renewal pricing, pre-approved expansion rates, and reasonable overage terms during initial contracting avoid costly mid-term adjustments.
Negotiation guidance: Vendr's contract analysis tools help buyers identify unfavorable terms and benchmark renewal pricing before signing.
Common hidden costs in CData contracts include:
Benchmarking context: Vendr's CData pricing benchmarks include total cost of ownership analysis across deployment models and contract structures.
CData's pricing is generally competitive with other data integration platforms, though positioning varies by use case. Based on Vendr transaction data:
Buyers who evaluate multiple alternatives and reference competitive pricing during CData negotiations often achieve better outcomes.
Competitive benchmarks: Compare CData to alternatives with Vendr to understand relative pricing and strengthen your negotiation position.
CData, like most software vendors, faces quarterly and annual sales targets. The strongest negotiation leverage typically occurs:
Vendr data shows buyers who engage early and maintain flexibility to sign near quarter-end typically achieve better pricing than those negotiating under tight deadlines.
Negotiation guidance: Vendr's CData negotiation playbooks provide quarter-specific tactics and timing strategies.
Multi-year contracts (2–3 years) typically offer lower annual pricing compared to annual terms, but reduce flexibility if requirements change.
Multi-year advantages:
Multi-year risks:
Mitigation strategies:
Based on Vendr transaction data, buyers who commit to multi-year terms with adequate headroom and negotiated expansion pricing typically achieve the best total cost of ownership.
Benchmarking context: Explore CData contract structures with Vendr to model annual vs. multi-year scenarios for your specific requirements.
CData Connect Cloud provides API-based access to data sources without requiring local driver installation. It's designed for real-time data access, API integration, and application connectivity use cases.
CData Sync is a data replication and ETL tool that moves data from sources to destinations (data warehouses, databases, cloud storage) on scheduled or continuous intervals. It's designed for analytics, reporting, and data warehousing use cases.
Key differences:
Yes. CData sells individual JDBC, ODBC, ADO.NET, and other connectivity drivers separately. These drivers can be purchased and deployed independently for application development, BI tool connectivity, or custom integration projects without requiring platform products.
CData supports 200+ data sources including databases (SQL Server, Oracle, MySQL, PostgreSQL), SaaS applications (Salesforce, HubSpot, NetSuite, Dynamics 365), cloud platforms (AWS, Azure, Google Cloud), and file formats (CSV, JSON, XML, Excel). The full connector catalog varies by product (Connect Cloud, Sync, individual drivers).
CData typically offers 30-day free trials for Connect Cloud, Sync, and individual drivers. Trial access allows buyers to test connectivity, performance, and feature fit before committing to a contract.
CData offers standard support (included with most licenses), premium support (faster response times, extended hours), and enterprise support (dedicated resources, custom SLAs). Support is typically delivered via email, phone, and online portal with response times varying by tier.
Based on analysis of anonymized CData Software deals in Vendr's dataset, pricing varies significantly based on product mix, connector count, data volume, and deployment model.
Key takeaways:
Regardless of platform choice, the most important step is clearly defining requirements, understanding total cost drivers, and benchmarking pricing against comparable deals before committing.
Vendr's pricing and negotiation tools analyze anonymized transaction data to surface percentile-based benchmarks, competitive comparisons, and observed negotiation patterns for CData Software.
This guide is updated regularly to reflect recent CData Software pricing and negotiation trends. Consider revisiting it ahead of any new purchase or renewal to account for changing market conditions. Last updated: February 2026.