Best Debezium Alternatives to Consider in 2025

Does Debezium feel too complex for what you need?

It’s a reliable open-source CDC tool, but as your data infrastructure scales, you might start facing performance lags, complex configurations, and limited flexibility.

Modern data teams need tools that are easy to deploy, monitor, and scale on demand. The right alternative can simplify your CDC workflows while offering broad integration coverage.

If that sounds familiar, we’ve got you covered.

This blog is a comprehensive guide to the best Debezium alternatives to consider in 2025. We’ll help you compare the top Debezium alternatives based on their key features, ideal use cases, pros, and cons, so you can choose a tool that aligns with your growth plans.

What is Debezium?

Debezium is an open-source platform designed for change data capture (CDC), tracking real-time changes in databases and streaming them to other systems. 

It enables you to move data continuously and reliably between sources and destinations for analytics, integration, or backup purposes.

It’s widely used by small to mid-sized businesses (SMBs) and data teams that need to sync data from traditional databases to SaaS tools, data warehouses, or cloud storage systems without running full ETL jobs every time for the above features and more.

Why Are People Moving Away from Debezium?

We have listed below the real-world limitations of Debezium, each supported by user testimonials:

High operational and infrastructure overhead

Debezium is typically deployed via Apache Kafka Connect, which means organizations have to maintain Kafka clusters, manage topic retention, partitions, and replication to ensure consistent performance.

User review:

Scalability and throughput issues with large data volumes

Users report that the Debezium engine struggles as data volume grows, especially in high-transaction or large-table environments. Snapshots, backlog handling, and lag become real issues.

User review:

Complexity in schema evolution

Many users point out the real complexity in handling schema changes (DDL), mapping to targets, maintaining correctness, dealing with snapshots, etc.

User review:

User-managed maintenance and recovery

Since Debezium is open-source and self-managed, teams must build their own monitoring, alerting, scaling, upgrades, failure recovery, etc.

User review:

Complex setup and maintenance

Debezium’s setup and maintenance process is often complex and time-consuming. Even minor configuration errors or database changes can cause silent ingestion failures, making it risky for teams to install Debezium without dedicated data engineers.

User review:

Top 10 Debezium Alternatives to Consider

Here’s a detailed comparison table of the top 10 Debezium alternatives:

Tool	Best for
Hevo Data	No-code CDC with automated schema handling and real-time sync
Fivetran	Fully managed CDC pipelines with extensive connector support
Stitch Data	Lightweight ETL for teams needing simple CDC setups
Dataddo	Unified data replication for cloud apps and databases
Keboola	All-in-one data workspace with orchestration and monitoring
Integrate.io	Low-code CDC and ETL automation for growing data teams
Airbyte	Open-source CDC platform with flexible connector customization
Informatica PowerExchange	Enterprise-grade CDC with governance and compliance focus
Qlik Replicate	High-speed, large-scale data replication across diverse systems
Striim	Real-time streaming CDC with in-flight data transformation

1. Hevo Data

Hevo Data is a no-code, cloud-native data pipeline platform designed to help organizations move data from a wide variety of sources into analytical destinations with minimal engineering overhead.

Hevo automatically manages schema changes, handles data type conversions, and ensures data integrity throughout the process. Teams can trust the data arriving in their warehouse and eliminate the hassle of managing pipelines or maintaining open-source CDC tools.

Hevo supports a wide range of data sources beyond databases, including SaaS apps and APIs, with automatic schema mapping and real-time sync. For teams seeking a simpler, faster, and more scalable alternative, Hevo delivers end-to-end automation, zero maintenance, and transparent pricing.

Key features:

• Real-time sync: Hevo supports near-real-time data replication from the source to the destination using streaming architecture and log-based change data capture.
• Built-in transformations: Hevo supports both drag-and-drop and Python-based transformations for data preparation before loading. It detects source schema changes and evolves destination schemas accordingly.
• Transparent observability: Hevo provides pipeline visibility, monitoring dashboards, alerts (via email, Slack, etc.), and built-in retry logic for failures.
• Version control: With Hevo, data teams can save partially configured pipelines as “Draft” and resume later, as well as get job-level visibility into each pipeline run (including ingestion duration, event volumes, errors).

Pros:

• Supports over 150 battle-tested connectors.
• Has a responsive customer support team.
• Features a detailed documentation for easy setup.
• Offers a transparent pricing model, suitable for SMBs.
• Intuitive UI usable by non-data-engineers and small teams.

Pricing:

• Starts as a free tier with limited connectors up to 1 million events
• Starter: $239/month up to 5 million events
• Professional: $679/month up to 20 million events
• Business: Custom pricing

2. Fivetran

Fivetran is a fully managed ELT platform designed to automate data integration across cloud and on-premises systems. It centralizes data from multiple SaaS applications, databases, and event streams into a cloud data warehouse.

Fivetran continuously monitors source changes and replicates them in near real time using pre-built connectors. The platform is widely used by data engineering and analytics teams that want reliable, hands-free data ingestion without maintenance overhead.

Fivetran offers a fully managed, plug-and-play CDC solution that scales automatically. It handles schema drift, automates connector updates, and provides built-in monitoring and transformations.

Key features:

• Incremental data sync: Fivetran supports incremental data replication across many connectors, tracking changes via logs or snapshots so new or updated records move quickly to your destination.
• Schema change handling: Fivetran supports schema migration detection, table/column changes, and allows re-sync or full overwrite to repair mismatches. This means when your source evolves, your destination remains consistent with less manual effort.
• Private networking: Fivetran offers private-network syncs and column-level hashing for PII. For companies with strict compliance/security needs, this is a major plus.

Pros:

• The “set and forget” design needs minimal infrastructure management.
• Wide variety of pre-built connectors across SaaS & databases.
• Reliable data syncing and robust alerting features.

Cons:

• MAR-based pricing can become unpredictable with large datasets.
• Some users report sync delays or limited control over scheduling.
• Limited flexibility for niche sources.

Pricing:

Pricing is determined by MAR, based on the number of unique rows inserted, updated, or deleted each month. You can try the platform with a 14-day free trial.

3. Stitch Data

Stitch Data is a cloud-based ETL platform designed to streamline the movement of data from a variety of sources into a single destination, such as a data warehouse or lake.

Stitch enables users to define a destination and then connect one or more integrations (such as MySQL, MongoDB, or Salesforce) to extract data. The workflow helps BI teams and data engineers to centralize disparate data without spending excessive effort on pipeline infrastructure or custom coding.

Stitch stands out as a fully managed service, eliminating the need to set up or maintain Kafka clusters and connector infrastructure themselves. It also offers an Import API to ingest arbitrary data when native connectors don’t exist.

Key features:

• Advanced orchestration: Stitch provides advanced orchestration features, including granular scheduling, error handling, and detailed logging. Users can monitor replication progress and receive notifications for any issues.
• Managed cloud service: Stitch is a fully managed cloud service that handles infrastructure, scaling, and maintenance. You can set up data pipelines quickly without worrying about underlying infrastructure.
• Built-in data quality: Offers built-in data quality checks, including data validation and schema evolution handling. It also provides features to support compliance requirements, such as data masking and auditing capabilities.

Pros:

• Quick onboarding with minimal infrastructure overhead.
• Large library of built-in source & destination connectors.
• Reliable data replication for standard workloads.

Cons:

• Data transformation capabilities are limited.
• Some users report inconsistent data quality.
• Some connectors dependent on open-source Singer taps are less stable.

Pricing:

• Standard: $100 monthly
• Advanced: $1,250 monthly
• Premium: $2,500 monthly

4. Dataddo

Dataddo is a cloud-based, no-code data integration platform designed to connect disparate sources, transform datasets, and load them to target destinations such as warehouses, dashboards, or operational applications.

Dataddo handles data flows by letting users select a source, designate a destination, and configure the synchronization frequency. It helps BI teams to unify data from multiple services or dashboards without building a full CDC infrastructure themselves.

What sets Dataddo apart is its broad connector library, transparent pricing, and a focus on relieving engineering burden. It is ideal for teams that need more than CDC in relational databases and want an “all-in” integration platform.

Key features:

• Real-time data synchronization: Dataddo supports real-time data synchronization, ensuring that data is continuously updated across systems. Crucial for businesses that require up-to-date information for decision-making and analytics.
• Transformation capabilities: Dataddo offers robust pre-processing capabilities, including sensitive data detection and hashing, flattening, type harmonization, unions, and joins.
• Headless data integration: With Dataddo’s Headless Data Integration, users can build their data products on top of the unified Dataddo API.

Pros:

• Seamless integration with BI tools like Tableau.
• Automated handling of API changes for many connectors.
• Free tier available to test core features.

Cons:

• Customer service response times are occasionally slower.
• Limited control over advanced transformations.
• Custom connector development can be slower than expected.

Pricing:

• Free up to 3 data flows.
• Data to Dashboards: $99.00 per month for hourly sync to any visualization tool.
• Data Anywhere: $99.00 per month for data sync from any source to any destination.
• Enterprise: Customizable for flexible deployment in hybrid environments.

5. Keboola

Keboola is a cloud-based data operations platform designed to streamline data integration, transformation, and orchestration. It caters to data engineers seeking a unified solution to manage and automate their data workflows.

The platform supports data transformation using SQL, Python, and dbt, allowing for comprehensive data manipulation within a single environment. Its intuitive visual interface and automation capabilities make it accessible to both technical and non-technical users.

Keboola’s support for AI-powered data pipelines and its modular architecture provide flexibility and scalability, making it a compelling alternative for organizations seeking a more user-friendly and integrated solution.

Key features:

• Visual orchestration: Keboola’s Orchestrator component allows users to design and automate complex data workflows with visual dependencies.
• Real-Time data streams: Keboola’s Data Streams feature enables the ingestion of real-time event data directly into the platform without the need for additional middleware. Supports scenarios like IoT data collection or real-time analytics.
• AI-powered data operations: Keboola integrates artificial intelligence to enhance data operations, offering features like AI component suggestions, automated flow creation, and intelligent error explanations.

Pros:

• Supports multiple transformation languages (SQL/Python/R).
• Strong customer support and responsive service.
• Cloud-based platform eliminates infrastructure overhead.

Cons:

• UI and UX have some usability issues.
• Limited version control or branching capabilities in pipelines.
• Documentation sometimes lags behind platform changes.

Pricing:

Keboola provides a free plan with basic functionality, while access to advanced features and enterprise capabilities requires contacting their sales team for a custom plan.

6. Integrate.io

Integrate.io is a cloud-based, low-code data integration platform designed to streamline ETL, ELT, CDC, and Reverse ETL workflows. The platform’s user-friendly interface and pre-built connectors help businesses aiming to accelerate data-driven decision-making.

Users can design data workflows using a drag-and-drop interface, enabling both technical and non-technical teams to manage data pipelines efficiently. The platform supports real-time data replication with sub-60-second latency, catering to multiple use cases.

Integrate.io’s ability to handle both batch and real-time data workflows, along with its support for bidirectional data synchronization, makes it a versatile choice for organizations looking to modernize their data integration processes without any complexity.

Key features:

• On-premise data access: Integrate.io offers on-premise agents that enable secure access to local data sources, facilitating hybrid deployments.
• API ingestion capabilities: With its REST API connector, Integrate.io allows users to connect to virtually any RESTful endpoint without custom code.
• Error handling: The platform offers advanced error-handling mechanisms, including the capability to capture and route failed records for detailed analysis.

Pros:

• Visual, low-code drag-and-drop pipeline builder.
• Built-in scheduling and orchestration for workflows.
• Ability to transform nested JSON and other complex data types.

Cons:

• The learning curve increases with complex pipelines.
• Limited debug and retry capabilities for complicated workflows.
• Fewer specialized connectors for niche sources.

Pricing:

Priced at $1,999 per month, this plan provides full platform access, 60-second pipeline updates, and unlimited connectors, with options to customize and add extra features.

7. Airbyte

Airbyte is an open-source ELT platform designed to simplify data integration. The tool allows users to create custom integrations, making it ideal for teams with diverse data sources and integration needs.

Its modular architecture enables users to configure and manage data pipelines through a user-friendly interface, API, or Terraform. This flexibility caters to data engineers, analysts, and teams requiring a customizable and scalable data integration solution.

Airbyte provides a comprehensive ELT framework that encompasses CDC capabilities, reverse ETL, and data activation features. Its AI-powered connector builder and low-code SDK facilitate rapid development of custom connectors, reducing the time and complexity associated with data integration.

Key features:

• Modular connector architecture: Airbyte’s open-source platform offers a modular connector architecture, enabling users to build and customize connectors easily.
• User-Friendly UI: Airbyte provides a browser-based UI that simplifies the setup and monitoring of data pipelines. The UI streamlines the process of configuring and managing data integrations, making it accessible for users with varying technical expertise.
• Open-source community: Airbyte benefits from an active community that contributes to its advancements. A collaborative environment fosters innovation and ensures that the platform meets growing user needs.

Pros:

• Flexible deployment: self-hosted or cloud-based options.
• Rapid updates and a growing ecosystem of integrations.
• Custom connector builder allows niche source support.

Cons:

• Requires technical expertise for setup and troubleshooting.
• Performance issues with very large data sets are reported.
• Requires external tools like dbt for complex transformations.

Pricing:

Airbyte offers a free self-hosted version, a 14-day free trial for its Cloud offering, and flexible Team and Enterprise plans tailored to different business needs.

8. Informatica PowerExchange

Informatica PowerExchange is an enterprise-grade data integration and CDC platform that enables both bulk data movement and near-real-time change replication. Well-suited for organizations requiring comprehensive support across heterogeneous environments.

PowerExchange allows enterprises to define data sources, map those sources to targets, and then replicate either full data loads or incremental changes. It is ideal for enterprises that need to integrate data from legacy systems, mainframes, relational databases, and file systems.

PowerExchange stands out for its broad source compatibility and native support for mainframes and legacy systems. It offers enterprise-grade reliability, vendor support, and built-in integrations within the Informatica ecosystem.

Key features:

• Built-in metadata: PowerExchange automatically captures relevant metadata and allows users to define data maps and extraction maps via GUI tools.
• Data processing: PowerExchange allows for both initial bulk loads (batch) and continuous CDC (real-time) within the same framework, offering flexibility in how ingestion is handled. 
• Enterprise-grade performance: Designed to handle high-volume data movement at scale into both on-premises and cloud platforms, including UOW-based and grid-based job execution.

Pros:

• Broad connectivity to legacy systems and mainframes.
• Strong real-time data capture and replication engine.
• Strong metadata and transformation capabilities.

Cons:

• Performance issues at large data volumes or heavy workloads.
• High total cost of ownership and expensive licensing.
• Support and responsiveness are reported as inconsistent.

Pricing:

Informatica runs on a consumption-based pricing model, billing you for what you use.

9. Qlik Replicate

Qlik Replicate is a high-performance data replication and CDC solution designed to move, stream, and synchronize data across heterogeneous and homogeneous endpoints.

Qlik Replicate enables users to define a replication task by establishing source and target endpoints, selecting tables, and then configuring either a full load or CDC mode. The tool helps database administrators migrate legacy databases, integrate multiple data sources, or maintain up-to-date data in analytics platforms.

Qlik Replicate offers a turnkey, enterprise-ready platform with a web-based console, multi-server and multi-threaded architecture, and broad endpoint support. Qlik Replicate is a compelling alternative for teams looking to maintain CDC pipelines.

Key features:

• Target endpoint support: Qlik Replicate supports a vast range of source and target systems, including relational databases, big data platforms, cloud warehouses, mainframes, streaming brokers like Kafka, and file stores.
• GUI-driven monitoring: Qlik Replicate offers a browser-based interface to define endpoints, tasks, schemas, and transformations, and monitor performance via a central console.
• Advanced transformation: Users can filter, transform, and enrich data in-flight, and deliver change events into streaming brokers (Kafka) or analytics platforms with transactional order.

Pros:

• Broad support for heterogeneous source and target systems.
• Real-time or near-real-time replication enables timely analytics.
• Automated schema change handling keeps targets in sync.

Cons:

• UI issues and error messages are reported as unclear. 
• Community support and documentation gaps for niche use-cases.
• Setting up and advanced configuration involve a steep learning curve.

Pricing:

Qlik offers customizable plans divided into four levels: Starter, Standard, Premium, and Enterprise. The pricing depends on the features you require.

10. Striim

Striim is a real-time data integration and streaming platform designed to handle both initial loads and continuous CDC from various sources. The platform is best suited for organizations that need to replicate and move data with minimal latency.

Striim ingests data from a wide range of sources using its Database Reader and CDC readers and delivers this data to target systems via built-in writers, all while allowing transformations, filtering, and enrichment along the way.

Striim stands out with a unified platform that combines initial load, CDC, streaming analytics, and delivery in a single system. Striim offers wizards, auto schema conversion, and broad connector coverage (databases, cloud targets, log sources) out of the box.

Key features:

• No-code pipeline construction: Striim’s Flow Designer allows creation of streaming pipelines and inclusion of AI agents without requiring heavy custom code.
• Pre-built AI agents: Striim includes AI agent components such as Sentinel, Euclid, and Foreseer that can be embedded into streaming flows.
• Sensitive data detection: With features like Sentinel for PII detection and governance built into streaming pipelines, Striim offers governance controls natively.

Pros:

• Low-latency streaming ingestion across sources.
• Unified monitoring and visual pipeline designer.
• Support for real-time transformation and enrichment.

Cons:

• Vendor lock-in risk due to proprietary platform.
• Requires advanced skills for configuration and tuning.
• The pricing model is complex and difficult to estimate.

Pricing:

Striim’s pricing has three levels:

• Striim Developer: Free
• Striim Cloud: Contact sales
• Striim Platform: Contact sales

Factors to Consider When Choosing a Debezium Alternative

It’s important to look beyond CDC functionality while evaluating tools. The right alternative should fit your team’s technical expertise, data stack, and long-term scalability goals.

1. Ease of setup and maintenance

A good CDC solution should minimize manual configurations and complex connectors. Look for tools that offer no-code or low-code setup, automated schema mapping, and built-in monitoring to reduce operational load.

2. Real-time data sync

Ensure the tool supports near real-time data replication with minimal latency. Some tools batch updates, while others stream data continuously, making a big difference for analytics and decision-making.

3. Scalability and performance

Evaluate how well the tool handles concurrent connections, high-throughput ingestion, and schema evolution without performance drops.

4. Compatibility and integrations

Check whether the platform integrates seamlessly with your existing databases, data warehouses, and BI tools. A wide range of native connectors ensures smoother data flow and fewer workarounds.

5. Error handling

Reliable CDC tools offer built-in mechanisms for retries, deduplication, and failure recovery. Look for strong data validation and error-handling capabilities to ensure accuracy across syncs.

6. Security and compliance

Since CDC tools handle sensitive data, prioritize platforms with robust encryption, access control, and compliance with standards like GDPR or SOC 2.

7. Transparent pricing model

Choose a platform that offers a clear and predictable pricing structure. Hidden infrastructure or maintenance costs can quickly add up, so opt for tools with transparent, usage-based pricing that scales fairly with your business needs.

Learn More

• How to Implement Debezium SMT

Upgrade Your CDC Workflow with Hevo

Hevo offers a fully managed, no-code platform that eliminates the need for manual configuration, simplifies schema mapping, and ensures real-time data replication across your entire stack.

With automatic schema mapping, pre-built connectors, and 24/7 monitoring, Hevo eliminates the operational overhead that often slows down teams relying on self-managed CDC tools. 

Its cloud-native architecture allows multiple pipelines to run concurrently, enabling analysts and engineers to query data without impacting ingestion performance.

If your goal is efficient, scalable, and low-maintenance CDC, Hevo stands out as the most reliable alternative to Debezium, transforming how teams ingest, process, and utilize data across their business.

Ready to simplify your data pipelines? Start your 14-day free trial with Hevo today and experience effortless real-time data integration.

FAQs on Alternative to Debezium