CData Software
Data fabric software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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$249 per year
Free TrialFree version
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- Media and communications
- Information technology and software
- Real estate and property management
What is CData Software
CData Software provides data connectivity and integration products that expose operational data sources through standardized interfaces such as JDBC/ODBC, ADO.NET, REST APIs, and SQL-based virtualization. It is used by data engineers, BI teams, and application developers to connect SaaS applications, databases, and cloud services to analytics platforms, ETL/ELT tools, and custom applications. The portfolio includes drivers/connectors, data virtualization (CData Virtuality), and managed data pipelines (CData Sync) to support federated access and movement of data across systems.
Broad connector and driver coverage
CData maintains a large catalog of connectors and drivers for SaaS applications, databases, and cloud services, which reduces custom integration work. It supports common connectivity standards (for example JDBC/ODBC and ADO.NET), which helps teams integrate with many BI and integration tools. This breadth is useful in heterogeneous environments where a data fabric approach depends on consistent access patterns across many sources.
Standards-based SQL access layer
CData products commonly present sources through SQL and familiar database connectivity protocols, which can lower the learning curve for analysts and developers. This approach can simplify tool interoperability because many platforms already speak JDBC/ODBC or REST. It also supports use cases where teams want to query data in place rather than immediately replicate it.
Multiple deployment options
CData offers components that can be deployed on-premises, in customer cloud environments, or consumed as managed services depending on the product. This flexibility helps organizations align connectivity with security, network, and compliance requirements. It also enables incremental adoption, such as starting with drivers and later adding virtualization or scheduled replication.
Not a full fabric suite
CData focuses primarily on connectivity, virtualization, and replication rather than providing an end-to-end data fabric platform. Capabilities such as enterprise data cataloging, governance workflows, lineage, and policy management typically require additional tools. Buyers evaluating a single consolidated platform may need to assemble a broader stack around CData.
Virtualization performance trade-offs
Querying across remote systems can introduce latency and variability based on source system limits, API throttling, and network conditions. Some workloads may still require replication, caching, or pre-aggregation to meet performance expectations. Teams should validate performance for high-concurrency analytics and complex cross-source joins.
Connector behavior varies by source
Feature completeness can differ across connectors because underlying systems expose different APIs, SQL dialects, and metadata. This can affect pushdown, supported data types, and handling of incremental changes. Implementations often require source-by-source testing and tuning to ensure consistent semantics and reliability.
Plan & Pricing
| Product / Plan | Price | Key features & notes |
|---|---|---|
| CData Connect AI (Cloud) — Free | Free | Starter level of Connect AI; limited data sources, 50 queries/mo for spreadsheets; includes Connect Spreadsheets free tier. |
| CData Connect AI (Cloud) — Starter | $59 per month (monthly) | 1 user included, 3 data sources, unlimited queries; add-ons for extra users and sources. |
| CData Connect AI (Cloud) — Pro | $119 per month (monthly) | Unlimited data sources (premium unlocked), unlimited queries; 15‑day free trial of Pro available on signup. |
| CData Sync — Standard | $7,999 per year | ETL / continuous replication; up to 5 standard connections and up to 100M rows/month; other configs available by quote. |
| CData API Server — Community | Free | On‑prem Community edition for non‑commercial use (limited sources / 2 connections). |
| CData API Server — Pro / Enterprise | Quote / Contact sales | Paid tiers (Pro, Enterprise) are available by quote; Enterprise adds SSO, table‑level permissions, management API. |
| Drivers & Connectors (examples) | $249–$999 per year (varies by connector and license type) | Examples from official product pages: WordPress ODBC / Power BI connectors $249/yr (desktop), Azure ODBC / XML ODBC $399/yr (desktop), REST ODBC $499/yr (desktop), many JDBC/Developer licenses $999/yr. Server/embedded licensing often quoted separately. |
| CData Virtuality | Quote (tiered: Standard / Professional / Enterprise) | Tiered feature sets (concurrent queries, connections); published feature tiers but pricing requires contact for customized quotes or core‑based pricing. |
Notes: Many CData products offer per‑desktop (developer) annual subscription prices for desktop licenses and separate server or site licensing available by quote. Official pages commonly show a downloadable trial or "Get Started Free" options for trial/community levels.
Seller details
CData Software, Inc.
Chapel Hill, North Carolina, USA
2006
Private
https://www.cdata.com/
https://x.com/cdata
https://www.linkedin.com/company/cdata-software/
