Top 10 Best Striim Alternatives to Consider in 2025

Looking for the right real-time data streaming solution? The market is packed with powerful CDC tools and data integration platforms that cater to different needs. Whether you’re evaluating Striim for the first time or already using it but exploring Striim alternatives for a better fit, you’ve got plenty of solid options to choose from.

The data streaming landscape has evolved rapidly, with each platform taking its own approach to real-time processing and change data capture. Some teams love Striim’s enterprise capabilities, while others prefer alternatives that offer simpler setup, specific integrations, or more flexible pricing. From detailed Hevo vs Striim comparisons to specialized CDC tools, this guide breaks down what actually matters for your decision.

Let’s dive into the top 10 Striim alternatives that are making waves in 2025.

What is Striim?

Striim is a cloud-based platform that helps you move, combine, and back up your data in real time. Whether your data sits in databases, cloud apps, or storage, Striim automatically keeps everything connected and up-to-date. It also helps with backing up data and making sure everything runs smoothly without delays.

It’s especially handy for small businesses and data teams using SaaS apps and cloud storage. It’s easy to set up and doesn’t need a lot of tech work, so teams can focus on using their data instead of managing it. Basically, it makes handling data simple and fast for growing companies.

Why Are People Moving Away from Striim?

1. Limited and Outdated Dashboard Experience

Many users feel Striim’s built-in dashboard doesn’t keep up with modern expectations. It’s not as interactive or visually appealing as other tools, and customization options are limited.

2. Lack of Open Community and Accessible Documentation

Finding help outside of official support can be tough. There’s no large user community, and technical docs or code samples aren’t easily available online, which slows down troubleshooting and learning.

3. High Licensing Costs

Striim’s pricing is often seen as steep, especially for smaller teams or companies just starting out with data streaming. This makes it less accessible compared to other platforms with more flexible pricing.

Top 10 Striim Alternatives to Consider

	Try Hevo for Free
Best For	SMBs & Enterprise	Enterprise	Small Teams	Mid-market	Data Teams
Key Advantage	Zero-code setup	Automated maintenance	Budget-friendly	Advanced ETL	Complete platform
Pre-built Connectors	150+	300+	130+	200+	250+
Real-time Sync
Auto-schema Mapping
Custom Transformations
Reverse ETL
Enterprise Security
Visual Data Mapping
Collaboration Tools
Free Trial
Starting Price	$239/month	$120/month	$100/month	$15,000/year	$300/month

1. Hevo

Hevo is a no-code data integration platform that stands out as a superior Striim alternative through its zero-code approach and automated data pipeline management. Unlike Striim’s complex setup requiring technical expertise, Hevo enables business users and small to mid-sized teams to sync data from 150+ sources to cloud warehouses in minutes, not months.

Why Hevo beats Striim:

• No-code setup: Deploy pipelines without engineering resources, compared to Striim’s technical complexity
• Automated maintenance: Self-healing pipelines with automatic schema evolution vs. Striim’s manual monitoring
• Transparent pricing: Simple per-row pricing model instead of Striim’s complex enterprise licensing
• Faster time-to-value: Get analytics-ready data in hours, not weeks

Hevo’s plug-and-play architecture, automatic schema mapping, and built-in reverse ETL capabilities eliminate the technical barriers that make Striim challenging for growing businesses. The platform’s focus on simplicity without sacrificing functionality makes it ideal for teams who need robust data integration without the operational overhead.

Real-world success: Deliverr, a California-based eCommerce fulfillment startup, switched from FlyData to Hevo and achieved remarkable results: doubled their data volume while improving query latency by 25-40%, increased data warehouse reliability from 97% to 99.98%, and saved 2 man-weeks per month through automated pipelines. Their Staff Software Engineer praised Hevo’s “lowest price-performance ratio” and ease of use that allowed product teams to create pipelines independently without data engineering support.

Key Features

• Real-time and batch sync: Move data continuously or on schedule, with less setup than Striim.
• Custom transformations: Built-in Python and SQL for flexible data shaping.
• Reverse ETL: Easily send data from your warehouse back to SaaS apps—built-in, no extra tools needed.
• No-code interface: Designed for non-technical users, so anyone can build and manage pipelines.
• Automatic schema mapping & self-healing: Handles changes and errors automatically, reducing manual fixes.

Customer Review

What I like best about Hevo Data is its intuitive user interface, clear documentation, and responsive technical support. The platform is straightforward to navigate, even for users who are new to data migration tools. I found it easy to set up pipelines and manage data flows without needing extensive technical support. Additionally, Hevo provides well-organized documentation that clearly explains different migration approaches, which makes the entire process smooth and efficient.

Henry E.

Software Engineer

Pros

• Super easy setup, no coding
• Reliable real-time sync
• Responsive customer support

Cons

• Can be pricey at scale
• Limited advanced customization
• Occasional issues with complex schemas

Why choose Hevo over Striim?

Faster, no-code setup with reverse ETL and less maintenance, perfect for teams wanting simple, reliable data flows without heavy engineering.

2. Fivetran

Fivetran is a cloud-based, no-code data integration tool best for teams needing fast, automated data pipelines from a wide range of sources to cloud data warehouses, with minimal setup and ongoing maintenance. They automate data extraction, loading, and transformation (ELT) from SaaS apps, databases, and files, helping analytics, BI, and data teams keep their warehouses synced without engineering overhead. 

Fivetran stands out for its plug-and-play connectors, fully managed pipelines, and ease of use. It’s especially suited for teams that want to avoid manual pipeline management and don’t need ultra-low-latency streaming.

Key Features

• 400+ pre-built connectors for SaaS, databases, and files
• Fully automated schema management and pipeline maintenance
• Integrated, scheduled SQL transformations (dbt compatible)
• Consumption-based pricing (pay only for what you use)
• Self-healing pipelines that adapt to schema changes

Customer Review

Fivetran makes syncing data from multiple SaaS tools to data warehouses like BigQuery fast and effortless. With plug-and-play connectors, automatic schema management, and strong alerts, it saves our small team hours of manual work.

Dennis C.

Head of Business Operations

Pros:

• Extremely easy, no-code setup
• Huge connector library
• Almost zero maintenance

Cons:

• Not real-time (default sync every 6 hours)
• Less flexible for advanced transformations
• Can become costly at high data volumes

Why choose Fivetran vs Striim?

Fivetran is best for teams who want the fastest, most hands-off way to sync data from many sources: no coding, no manual fixes, just reliable data pipelines.

3. Stitch

Stitch is a cloud-based ETL tool best for teams needing simple, fast data consolidation from 130+ sources into a single warehouse, with minimal manual effort. They automate data extraction, transformation, and loading for analytics, BI, and ops teams, making data accessible and up-to-date for better decision-making.

Stitch stands out for its open-source Singer framework, broad connector support, and focus on easy, automated data ingestion, ideal for teams wanting quick setup and reliable syncs without deep engineering.

Key Features

• 130+ connectors for databases, SaaS, and cloud apps
• Automated data pipelines and real-time sync
• Open-source extensibility (Singer) for custom connectors
• Transparent error handling, scheduling, and monitoring
• Scalable for startups and enterprises

Customer Review

Stitch integrates with most large companies such as Google Ads, Microsoft Ads, etc. One of the best things is that it sets up cost allocation in a very easy straightforward manner.

Megan S.

Digital Marketing Director

Pros 

• Fast, no-code setup
• Wide source coverage
• Open-source flexibility

Cons:

• Limited advanced transformation options
• Not true real-time (syncs are frequent but not streaming)
• Fewer orchestration features than some competitors

Why choose Stitch over Striim?

Stitch is perfect for teams wanting a quick, low-maintenance way to centralize data, especially if you value open-source connectors and don’t need ultra-low-latency streaming.

4. Integrate.io

Integrate.io is a cloud-based ETL platform best for teams who want a drag-and-drop interface to build, schedule, and monitor data pipelines across cloud and on-prem sources. They help data and business teams sync, transform, and blend data from SaaS, databases, and files, making it analytics-ready with minimal coding.

Integrate.io stands out for its visual workflow builder, built-in data transformations, and flexible scheduling, which is great for teams that want to design pipelines visually and manage complex data flows easily.

Key Features

• Visual, drag-and-drop pipeline builder
• 100+ pre-built connectors
• Built-in data transformations and cleansing
• Flexible scheduling and monitoring
• Data masking and compliance tools
• Works with both cloud and on-prem sources

Customer Review

The ease of use and flexibility of the platform, allowing for any source, any transformation, and any destination. The team at Integrate.io is extremely knowledgeable about the product and very responsive in customer support.

Alejandro F.

Information Technology Business Analyst

Pros

• Easy visual workflow design
• Strong transformation capabilities
• Good compliance and security features

Cons:

• Can be pricey for small teams
• Some connectors require extra configuration
• Not focused on real-time streaming

Why choose Integrate.io over Striim?

Choose Integrate.io if you want a visual, code-free way to build and manage complex data workflows, which is perfect for teams with mixed technical backgrounds.

5. Keboola

Keboola is a cloud data platform suited best for teams that need end-to-end data operations. It can integrate, transform, and orchestrate data in one place. They help data engineers and analysts automate data flows, manage transformations, and collaborate on data projects, all within a single platform.

Keboola stands out for its all-in-one approach, with built-in versioning, collaboration, and advanced orchestration, which is ideal for teams that want more than just data movement.

Key Features

• 200+ connectors
• Built-in transformations (SQL, Python, R)
• Data lineage, versioning, and collaboration tools
• Orchestration and automation
• Strong compliance and security

Customer Review

It is there easy to setup from the beginning giving you fresh start when you need POC or smaller data project. It has many connectors , APIs to most common services, great support, wide user base providing you with many custom components. You can chain those components to flows and schedule the to run at particular times or being triggered by events. It is easy to learn and give access to even newbies to play with. There is visible progress in time with new features added.

Michal P.

Data Architect

Pros

• ​​End-to-end data ops in one tool
• Flexible transformation options
• Strong collaboration features

Cons:

• Learning curve for new users
• More features than some teams need
• Pricing can be complex

Why choose Keboola over Striim?

Keboola is best for teams that want to manage the full data lifecycle, including integrations, transformations, and automation, all in one collaborative platform.

6. Talend

Talend is an open-source data integration platform for teams wanting robust, enterprise-grade ETL with strong data quality and governance features. They help IT, data, and compliance teams integrate, cleanse, and govern data from any source, ensuring high-quality, trusted data for analytics and operations.

Talend stands out for its open-source roots, advanced data quality tools, and enterprise governance. It’s ideal for organizations needing strict compliance and custom ETL.

Key Features

• 1000+ connectors and components
• Data quality, profiling, and cleansing
• Enterprise governance and compliance
• Open-source and commercial options
• Advanced orchestration and scheduling

Customer Review

I have experienced both on-premise and Cloud operating models with TDI (Talend Data Integration), and it is true that the Cloud model slightly changes the way objects and environments are handled but greatly simplifies access to the TAC. Above all, it removes all obstacles for the administration and maintainability of the administration console. The additional features integrated into the CAC (Cloud Administration Console), which are Data Preparation and Data Steward, are welcome. On the TDI side, it perfectly meets all our integration needs concerning all our different data sources, as well as for the production of our Datamarts. Its use in \"noCode\" mode and its documentation base simplifies and reduces the effort required for the integration of new developers on projects.

Benoît L.

CIO, Financial Services

Pros

• Powerful data quality features
• Highly customizable
• Strong governance and compliance

Cons:

• Steeper learning curve
• Can require more setup and maintenance
• Some features are only in the paid version

Why choose Talend over Striim?

Talend is ideal if you need enterprise-level data quality, governance, and customization, especially for regulated industries or complex ETL needs.

7. Matillion

Matillion is a cloud-native ETL/ELT tool is best for teams needing scalable, visual data transformation and orchestration directly in cloud data warehouses like Snowflake, Redshift, and BigQuery. They help data engineers and analysts design, schedule, and manage complex data workflows, making large-scale data integration accessible to technical and non-technical users.

Matillion offers a drag-and-drop browser interface, pushdown ELT, and strong cloud integration, making it easier for teams to build and manage sophisticated pipelines without deep coding. It’s perfect for organizations focused on cloud data warehousing and batch processing.

Key Features

• Drag-and-drop visual job builder
• Pushdown ELT leverages warehouse power for fast transformations
• 80+ pre-built connectors
• Built-in version control and collaboration
• Advanced orchestration and workflow design
• Reverse ETL capabilities

Customer Review

What I like best about Matillion is its seamless integration with major cloud platforms like AWS, GCP and Azure. This is very user friendly platform for ETL. It\'s visual interface makes complex workflows look easier. It offers great scalability, making it suitable for big and small scale users. It helps to reduce the complexity of ETL Process with its no code working ability.

Nikhil L.

Data Engineer

Pros

• Intuitive visual interface
• Strong cloud integration
• Scalable for large data volumes

Cons:

• Not focused on real-time streaming
• Learning curve for advanced features
• Can be expensive for small teams

Why Choose Matillion Over Striim?

Choose Matillion if you want visual, cloud-native ETL/ELT, fast setup, and easy management of complex data workflows. This is profound for batch jobs and cloud data warehouses.

8. Airbyte

Airbyte is an open-source data integration platform best for teams wanting flexible, customizable connectors and community-driven growth. They help data engineers and developers sync data from hundreds of sources to warehouses and lakes, with the ability to build or modify connectors as needed.

Airbyte’s open-source model means rapid connector expansion, community support, and full code transparency. It’s ideal for teams needing custom sources or budget-friendly options.

Key Features

• 300+ connectors, with a fast-growing library
• Open-source and self-hosted options
• Connector builder for custom sources
• Incremental syncs and schema evolution
• Transparent roadmap and community support

Customer Review

- Easy to understand interface - Easy to get started - Good documentation - Competitive pricing - Open source - Possibility to switch to local

Axel L.

Data analyst and engineer

Pros 

• Free open-source core
• Highly customizable
• Rapidly expanding connector library

Cons:

• UI and monitoring are less mature than some commercial tools
• Requires more setup for production use
• Support is mainly community-driven (unless on a paid plan)

Why Choose Airbyte Over Striim?

Pick Airbyte if you want open-source flexibility, fast connector development, and cost-effective data integration, specifically with unique or custom sources.

9. Apache NiFi

Apache NiFi is an open-source dataflow automation tool best for teams that need powerful, visual control over data movement, routing, and transformation across diverse systems. With granular control and automation, they help data engineers and IT teams design, monitor, and manage complex data flows between on-prem, cloud, and IoT sources.

NiFi’s drag-and-drop interface, fine-grained flow management, and open-source model make it ideal for custom, multi-step data routing and transformation.

Key Features

• Visual flow builder with 300+ processors
• Real-time monitoring and control
• Fine-grained data routing, filtering, and transformation
• Built-in security and provenance tracking
• Open-source and extensible

Customer Review

NiFi\'s UI-centric input for designing data flows is a masterpiece. It allowed our team to compose complex data workflows in a simplified and easy-to-manage interface. I\'ve used NiFi for both large and small projects. NiFi scaled well in a data processing environment where we needed to download and run deep-learning image detection models across TBs of satellite image data. Our software platform was rooted in elaborate yet organized NiFi flows. NiFi was essential in simplifying complex data pipelines involving dozens of image products with several data processing steps for each image source. NiFi scaled exceptionally well with high throughput and large data volumes, although its latency is not suited for real-time processing. I continue to use NiFi not only for data-intensive projects but for day-to-day software use cases. Its plethora of connectors makes it easy to extract, transfer, and load data to and from any set of data sources. It has largely replaced bash and python scripting as a quick and dirty way to connect data platforms and run simple data processing steps. This is because scripting in NiFi and connecting to various data sources is much faster than scripting in Python.

Alex E.

Software engineer

Pros

• Highly flexible and customizable
• Visual, drag-and-drop flow design
• Strong security and data lineage features

Cons:

• Steeper learning curve
• Can be resource-intensive
• Lacks out-of-the-box SaaS connectors

Why Choose NiFi Over Striim?

Choose NiFi for visual, open-source dataflow automation and precise control over complex, multi-system data pipeline tool.

10. Informatica Cloud Data Integration

Informatica Cloud Data Integration is an enterprise-grade, cloud-native integration platform best for large organizations needing robust, scalable, and secure data pipelines. They help IT and data teams integrate, cleanse, and govern data across cloud and on-prem systems, with strong compliance and security.

Informatica stands out for its advanced data quality, governance, and AI-powered automation, making it a top choice for regulated industries and complex data landscapes.

Key Features

• 1000+ pre-built connectors
• Advanced data quality and cleansing
• AI-driven mapping and automation
• Enterprise-grade security and compliance
• Scalable cloud-native architecture

Customer Review

Informatica CDI allows us to use different source data to output data sets that we want. We use this product every day and when any issues occur the GCS team replies promptly.

Brad J.

Pros

• Extremely robust and scalable
• Advanced data quality and governance
• Huge connector library

Cons:

• Higher cost for smaller teams
• Steeper learning curve
• Can be overkill for simple use cases

Why Choose Informatica Over Striim?

Choose Informatica for enterprise-scale, secure, and governed cloud data integration tool for advanced data quality and compliance.

Factors to Consider When Choosing a Striim Alternative

When you work with data integration and streaming platforms, it’s important to ask yourself the right questions before picking a Striim alternative. Here are five key factors to consider—each one a question you should ask, along with why it matters:

1. Is it easy for your team to use?

Ensure the platform has a user-friendly interface, clear guides, and doesn’t require heavy coding skills. This way, your team can get started quickly and won’t waste time struggling with setup or daily tasks.

2. Does it connect with all your data sources?

Check if the tool offers built-in connectors for your current databases, SaaS apps, and cloud storage. If you plan to add new tools in the future, see if the platform can support those too, so you don’t face integration roadblocks.

3. Can it handle your growth?

Think about your data needs now and in the future. Choose a solution that can scale up as your data volume increases and your business expands, so you won’t need to switch platforms as you grow.

4. Is the pricing clear and fair?

Look for a tool with transparent pricing—no hidden fees or confusing tiers. Make sure you understand what’s included in each plan, so you can budget confidently and avoid unexpected costs as your usage grows.

5. Will you get good support?

Reliable customer support is a must, especially if you hit a snag. Check for 24/7 help, live chat, or a strong online community, so you always have a way to get answers and keep your data flowing smoothly.

Why Choose Hevo Data over any other Striim Alternatives?

When considering Striim alternatives, Hevo Data emerges as a clear frontrunner for modern data teams who want a smooth, fast, and cost-effective way to manage their data. Hevo is designed for businesses that want to move fast, without getting bogged down by complex setups, steep learning curves, or unpredictable costs. It’s especially appealing to teams that need real-time, automated data pipelines but may not have a large technical staff or enterprise-sized budgets.

What makes Hevo Data a winner:

• Real-time data movement: Hevo delivers your data as it happens, so your dashboards and reports are always current.
• No-code setup: Anyone on your team can easily build and manage data flows using Hevo. No coding or technical expertise is needed.
• Built-in data transformations: Clean, organize, and prepare your data right inside Hevo, so you don’t need extra tools.
• Simple, transparent pricing: Hevo’s pricing is straightforward and often more affordable than Striim or other alternatives.
• 24/7 customer support: Get help whenever needed, no matter your plan or company size.
• Flexible for all kinds of businesses: Whether you’re a startup or a growing company, Hevo adapts to your needs and scales with you.

If you want a modern, reliable, and easy-to-use data platform, Hevo Data is a clear winner over other Striim alternatives. Sign up for a 14-day free trial. 

FAQs on Striim Alternatives

Sarthak Bhardwaj Customer Experience Engineer, Hevo

Sarthak is a skilled professional with over 2 years of hands-on experience in JDBC, MongoDB, REST API, and AWS. His expertise has been instrumental in driving Hevo's success, where he excels in adept problem-solving and superior issue management. Sarthak's technical proficiency and strategic approach have consistently contributed to optimizing operations and ensuring seamless performance, making him a vital asset to the team.