Riding the Data Wave: The 27 Best Data Replication Software Of 2023

12 Best Data Replication Software Shortlist

Here's my shortlist of the 12 best data replication software of 2023, and the use cases that each software is best for:

1. Rubrik - Best for cloud data management and protection
2. Integrate.io - Best for simplifying complex data integration processes
3. Dataddo - Best for centralized data management across various platforms
4. IBM Informix - Best for advanced data warehousing capabilities
5. Amazon ElastiCache - Best for improving application performance with in-memory caching
6. AWS Glue - Best for automating time-consuming data preparation tasks
7. Hevo Data - Best for real-time data pipelines from multiple sources
8. Keboola - Best for offering an all-in-one data operations platform
9. Veeam Data Platform Foundation - Best for robust backup and disaster recovery solutions
10. Fivetran - Best for automated data connectors into a centralized repository
11. Twilio Segment - Best for collecting, cleaning, and controlling customer data
12. Syniti - Best for managing master data and ensuring data quality

Navigating big data is complex, but I'm confident in the correct data replication software. It brings simplicity, performance, and database replication. My enterprise data, a vast dataset from various sources, can be replicated with low latency and made accessible to all. The software excels regardless of your database environment - on-prem, Linux, or multi-cloud. It reduces bandwidth usage and ensures smooth deployments.

Being open-source, it doesn't lock me into proprietary systems and guarantees data availability and performance for all replication needs. It provides a comprehensive solution such as database replication, offering unmatched data availability, efficient bandwidth usage, and holistic data management. This tool also solves high latency and complex data management across diverse environments. It's a valuable tool for any data-driven organization like mine. Consider giving it a shot.

What is Data Replication Software?

Data replication software is a tool businesses and IT professionals utilize to create and maintain copies of data across different locations or systems. This helps ensure data consistency and accessibility, making it a critical component of any robust data management strategy.

These high-performance software solutions find extensive use in various high-performance fields such as e-commerce, finance, healthcare, and more, where data integrity, availability, and real-time updates are paramount. Users leverage data replication software for a variety of purposes such as data backup, disaster recovery, Log-Based Change data capture (CDC), data warehousing, end-to-end replication, data center functions, enterprise-grade security, reporting, and improving application performance, to name a few.

Overviews of the 12 Best Data Replication Software

1. Rubrik - Best for cloud data management and protection

Rubrik brings an innovative approach to data protection and leadership in the cloud era. Providing simplicity and time efficiency, it takes care of backup, recovery, and archival of data. Justifying its position as the best for cloud data management and protection, Rubrik helps businesses safeguard their data assets while ensuring availability.

Why I Picked Rubrik:

In my experience and assessment, Rubrik stands out because it emphasizes data protection and simplified cloud management. Its comprehensive cloud-native protection aligns with modern IT requirements, making it a compelling choice for organizations embracing cloud technologies. I picked Rubrik as it excels in providing robust data protection of source databases while mitigating the complexities typically associated with managing data in the cloud.

Standout Features & Integrations:

Rubrik offers features like policy-driven automation and recovery instantly, cutting down on manual intervention and time spent on recovery processes. It also boasts a universal search feature for quick access to data across all workloads. For integrations, it supports a wide range of platforms, including but not limited to AWS, Azure, Google Cloud, and applications like SAP, Oracle, and Microsoft SQL Server.

Pricing:

Rubrik offers pricing upon request, providing tailored solutions to meet unique organizational needs.

Pros:

• Robust cloud-native data protection
• Instant recovery and universal search features
• A broad range of integrations with major platforms and applications

Cons:

• Pricing is not readily available on their website.
• It might be overwhelming for businesses new to cloud data management.
• Some users report a learning curve with initial setup and configuration.

2. Integrate.io - Best for simplifying complex data integration processes

Integrate.io is a full-featured ETL (Extract, Transform, Load) solution that makes data integration less complicated. Also, it bridges the gap between various data sources and cloud data warehouses, reaffirming its position as the best tool for simplifying complex data integration processes.

Why I Picked Integrate.io:

I chose Integrate.io for its robust and user-friendly approach to ETL processes. The tool also distinguishes itself by simplifying complex data integrations without requiring extensive coding knowledge. This is why I deem it "best for" organizations looking to streamline their data integration tasks without overwhelming their teams with technical complexities.

Standout Features & Integrations:

Critical features of Integrate.io include a visualized data pipeline, built-in data transformations, and a data flow debugger. It also supports real-time data transformations, which can be a game-changer for data-driven decision-making. Regarding integrations, Integrate.io supports many databases such as data lakes, and data warehouses like Amazon Redshift, Google BigQuery, and Snowflake.

Pricing:

Integrate.io's pricing starts from $1500/month, making it an investment well-suited for organizations with substantial data integration needs. The pricing may also vary based on data volume and specific requirements.

Pros:

• Simplified data integration process
• User-friendly, no extensive coding knowledge required
• A wide array of integrations with databases and data warehouses

Cons:

• Pricing might be high for small businesses.
• Limited support for on-premises databases
• Some users reported a need for more prebuilt transformations.

3. Dataddo - Best for centralized data management across various platforms

Dataddo streamlines the process of extracting and consolidating data from multiple online sources into one centralized dashboard. It shines when managing data across diverse platforms, simplifying your data strategy.

Why I Picked Dataddo:

I selected Dataddo because of its ability to bring order to the often chaotic realm of multi-platform data management. It also stands out with its unified interface, reducing the usual hassle of switching between platforms. Therefore, Dataddo lands as "best for" those who deal with multiple platforms and need a central data management system.

Standout Features & Integrations:

Dataddo offers a unified data layer that enables centralized data management, making it easier to control and analyze your data. It also allows for custom data transformations, providing more flexibility. In terms of integrations, Dataddo is impressive with its compatibility with a wide range of data services, from Google Analytics to Salesforce, and data warehouses such as Amazon Redshift and Google BigQuery.

Pricing:

Dataddo's pricing starts from $20/user/month, with the flexibility to accommodate different business sizes and data volumes.

Pros:

• Centralized data management across diverse platforms
• Allows for custom data transformations
• A wide array of integrations with data services and warehouses

Cons:

• It might require some time to get acquainted with the platform.
• Custom data transformations could be overwhelming for non-tech users.
• The user interface might seem complex initially.

4. IBM Informix - Best for advanced data warehousing capabilities

IBM Informix, an established name in the field, offers a comprehensive data warehouse solution that handles complex, high-volume data environments. Its proficiency in advanced data warehousing is genuinely admirable.

Why I Picked IBM Informix:

IBM Informix cuts due to its sterling reputation and its robust, advanced data warehousing capabilities. Also, the tool stands out with its ability to efficiently manage large volumes of data, even in complex environments, justifying its position as "best for" advanced data warehousing needs.

Standout Features & Integrations:

IBM Informix brings real-time analytics as well as high availability data replication, and a scalable architecture that ensures your data warehouse can grow with your needs. It's compatible with various data types and programming languages, increasing its versatility. IBM Informix also integrates seamlessly with other IBM solutions alongside popular data analysis and visualization tools.

Pricing:

IBM Informix's pricing begins at $30/user/month. This package provides a solid foundation for businesses requiring advanced data warehousing.

Pros:

• Comprehensive solution for complex data warehousing needs
• Offers real-time analytics
• Integrates well with other IBM solutions and data analysis tools

Cons:

• It might require a steeper learning curve for new users
• It could be overkill for smaller businesses with more straightforward data needs.
• The user interface may seem outdated compared to newer tools.

5. Amazon ElastiCache - Best for improving application performance with in-memory caching

Amazon ElastiCache provides a compelling solution that boosts application performance through in-memory caching as well as an essential bridge between your applications and databases. Its specific strength is accelerating data access, making it an apt choice for improving application performance.

Why I Picked Amazon ElastiCache:

I selected Amazon ElastiCache for this list because it consistently stands out in delivering application speed and performance improvements. The unique value it brings is its robust in-memory caching system, an asset that makes it the "best for" improving application performance.

Standout Features & Integrations:

Amazon ElastiCache offers features such as automatic partitioning, robust failover, and a choice between Redis or Memcached as your caching engine. Its integrations such as Amazon RDS, Amazon DynamoDB, and Amazon S3, providing a harmonious ecosystem that fits well with various application requirements.

Pricing:

Pricing for Amazon ElastiCache starts from $0.022/hour, translating to approximately $16/user/month. This entry-level price provides access to the caching service and its performance-enhancing capabilities.

Pros:

• Provides fast, in-memory caching to accelerate data access
• Offers robust failover mechanisms
• Integrates with various Amazon services for seamless compatibility

Cons:

• Pricing can become complex with increased usage.
• It may offer more features than required for simple applications.
• The need for configuration and management may present a learning curve.

6. AWS Glue - Best for automating time-consuming data preparation tasks

AWS Glue is a fully managed extract, transform, and load (ETL) service that facilitates easy data discovery, conversion, and job scheduling. Also, its core strength is its capacity to automate the tedious parts of data preparation, justifying its position as the best for handling these time-consuming tasks.

Why I Picked AWS Glue:

I picked AWS Glue because it stands out in its ability to streamline the ETL process through automation. The distinguishing factor is its robust job scheduler and automatic data cataloging, setting it apart. This tool is "best for automating time-consuming data preparation tasks because it alleviates manual ETL operations, saving time and increasing productivity.

Standout Features & Integrations:

AWS Glue also provides features like a centralized metadata repository called the AWS Glue Data Catalog, ETL job code generation, and flexible scheduling. It integrates with a wide range of AWS services, including but not limited to Amazon S3, Amazon RDS, and Amazon Redshift, increasing its utility in diverse applications.

Pricing:

Pricing for AWS Glue starts from $0.44 per DPU-Hour (Data Processing Unit), equating to variable pricing based on your usage. Just to let you know, this does not translate neatly into a $/user/month pricing model due to the nature of the service. You only pay for the computing time you consume and have no minimum fees or upfront commitments.

Pros:

• Facilitates automation of time-consuming ETL tasks
• Integrates well with other AWS services
• Offers a serverless architecture which eliminates the need for resource provisioning

Cons:

• The pricing model could be complex for new users.
• Requires AWS ecosystem familiarity for maximum utility
• The learning curve for users new to ETL and data warehousing concepts

7. Hevo Data - Best for real-time data pipelines from multiple sources

Hevo Data is a no-code data pipeline platform that empowers businesses to transform and transfer data across different storage and analytics systems in real time. This tool shines when it comes to integrating data from various sources. Hence, it is best for creating real-time data pipelines from multiple sources.

Why I Picked Hevo Data:

I chose Hevo Data because of its proficiency in constructing real-time data pipelines from many sources. This tool's capacity to incorporate data from various sources and its focus on real-time data transfer make it unique among other data pipeline services. I hold it as the "best for" creating real-time data pipelines due to its comprehensive data integrations and no-code platform, simplifying complex data pipeline construction.

Standout Features & Integrations:

Hevo Data has a powerful feature set, including a user-friendly interface, real-time data replication, and data transformation capabilities. This tool integrates efficiently with a host of sources such as databases (MySQL, PostgreSQL), cloud applications (Salesforce, HubSpot), and data warehouses (Amazon Redshift, Google BigQuery), among others.

Pricing:

Pricing for Hevo Data starts at $249/month for their Starter plan (billed annually). This pricing includes the capability to integrate 5 data sources and handle 500,000 events per day.

Pros:

• Allows real-time data pipeline creation from multiple sources
• User-friendly interface enhances ease of use.
• Provides extensive integration with databases, cloud applications, and data warehouses

Cons:

• It can get expensive for small businesses.
• Relatively new in the market, so it might need more mature features.
• Can have a learning curve for users with no previous data pipeline construction experience

8. Keboola - Best for offering an all-in-one data operations platform

Keboola is a robust data operations platform that caters to data requirements such as extraction, cleansing, augmentation, and more. Its unified approach to data operations stands out as the optimal choice for organizations seeking a comprehensive data management solution.

Why I Picked Keboola:

In compiling this list, I noted Keboola’s extensive capabilities as an all-in-one data operations platform. It stands out due to its comprehensive functionalities, from data extraction to enrichment, all bundled into a single platform. I consider it the "Best for..." offering an all-in-one data operations platform because it allows users to manage all aspects of data operations within a unified environment, increasing efficiency and decreasing complexity.

Standout Features & Integrations:

Keboola offers a range of standout features, including data cleansing, enrichment, modeling, and seamless integration capabilities. Its integrations extend across various platforms such as databases (MySQL, PostgreSQL), cloud services (AWS, Google Cloud), and analytics tools (Tableau, Looker), providing a flexible and versatile data operations solution.

Pricing:

Pricing for Keboola starts at $20/user/month for the Basic plan, with a minimum of 5 seats. This includes basic features and standard customer support.

Pros:

• Provides an all-in-one platform for various data operations
• Wide array of integrations with databases, cloud services, and analytics tools
• Robust data modeling and enrichment capabilities

Cons:

• It could be cost-prohibitive for smaller organizations due to the minimum seat requirement
• Some users might find the all-in-one approach overwhelming.
• Features and integrations may have a learning curve for new users

9. Veeam Data Platform Foundation - Best for robust backup and disaster recovery solutions

Veeam Data Platform Foundation provides robust data backup, recovery, and replication solutions. It's designed to offer extensive disaster recovery capabilities, making it ideal for enterprises prioritizing data security and business continuity.

Why I Picked Veeam Data Platform Foundation:

I chose Veeam Data Platform Foundation for its exceptional focus on backup and disaster recovery solutions. Its comprehensive tools dedicated to these functions make it stand out from other data management platforms. Given its emphasis on security, resilience, and quick data recovery, I decided it's best suited for robust backup and disaster recovery solutions.

Standout Features & Integrations:

Veeam shines with its Instant VM Recovery, secure ransomware protection, and cloud-native backup features. Integrations are plentiful, with support for major platforms such as AWS, Microsoft Azure, Google Cloud, and more, which extend the platform's data protection capabilities across various cloud environments.

Pricing:

Pricing for Veeam Data Platform Foundation starts at $40/user/month (billed annually). This price includes access to essential data protection features and standard customer support.

Pros:

• Provides strong data backup and disaster recovery solutions
• Offers extensive cloud integrations, facilitating protection across various environments
• Features like Instant VM Recovery and ransomware protection ensure swift response to data loss incidents.

Cons:

• Pricing may be on the higher side for smaller businesses.
• The platform might require a steeper learning curve due to its comprehensive nature.
• Annual billing might not be suitable for all businesses

10. Fivetran - Best for automated data connectors into a centralized repository

Fivetran is a cloud-based data integration platform that simplifies data aggregation from different sources into a centralized repository. Given its strong focus on automating data pipelines, Fivetran is ideal for organizations that require streamlined, consistent data flow for analysis and insights.

Why I Picked Fivetran:

I picked Fivetran due to its prowess in offering robust, automated data connectors. Also, its ability to effortlessly pull data from myriad sources and consolidate it in a central location is a distinctive strength. This ability aligns well with the tool's aptness for providing automated data connectors into a centralized repository.

Standout Features & Integrations:

Critical features of Fivetran include automated data pipeline creation, a wide array of pre-built connectors, and schema drift handling capabilities. Also, its comprehensive set of integrations spans databases, cloud storage, SaaS applications, and more, including notable names like Salesforce, Google Analytics, and PostgreSQL.

Pricing:

The pricing for Fivetran starts from $15/user/month. This is the starting price for the standard package, which includes basic data connector functionality.

Pros:

• Vital in automating data pipeline creation, reducing manual effort
• Offers numerous pre-built connectors for diverse data sources
• Capable of managing schema drift, enhancing data accuracy

Cons:

• Pricing could be prohibitive for smaller organizations.
• Could require technical knowledge to utilize advanced features fully
• Custom connector creation may be more complex than using pre-built ones.

11. Twilio Segment - Best for collecting, cleaning, and controlling customer data

Twilio Segment is a customer data platform (CDP) that allows businesses to collect, clean, and control customer data effectively. By offering a unified API for data collection and integration, it aids in managing customer data, making it a perfect tool for gathering, cleaning, and controlling customer data.

Why I Picked Twilio Segment:

I chose Twilio Segment because of its comprehensive data management capabilities. Compared to other tools, Twilio Segment provides a unified interface to collect, cleanse, and control data. Its robust CDP capabilities suit businesses looking for a reliable tool to manage customer data.

Standout features & integrations:

Notable features of the Twilio Segment include its unified API for data collection, real-time data governance, and data privacy compliance capabilities. It offers integrations with over 300 tools including analytics platforms, marketing software, and data warehouses like Google Analytics, Mailchimp, and Amazon Redshift.

Pricing:

Twilio Segment pricing begins from $10/user/month. This initial price provides users with access to standard CDP features.

Pros:

• Provides a unified API for data collection, streamlining data integration tasks
• Real-time data governance ensures data accuracy and relevance.
• Comprehensive suite of integrations allows compatibility with a wide range of platforms.

Cons:

• Some users may need help with the initial setup process.
• You may need technical expertise to use it effectively.
• Pricing might be high for small businesses with limited budgets

12. Syniti - Best for managing master data and ensuring data quality

Syniti, formerly known as BackOffice Associates, is a software company that specializes in data quality, master data management, and data migration. Its solution allows companies to manage their master data effectively and ensure data quality, making it an excellent fit for managing master data and maintaining data quality.

Why I Picked Syniti:

I picked Syniti because of its dedicated focus on data management. Compared to other tools, it provides a comprehensive solution for managing master data and ensuring data quality. Its well-structured architecture and user-friendly interface make it ideal for those seeking a robust solution for master data management.

Standout Features & Integrations:

Some of the most significant features of Syniti include master data management, data migration, and data quality governance. It integrates well with major ERP systems such as SAP, Oracle, and Infor, providing streamlined data management within these systems.

Pricing:

The pricing for Syniti starts at $20/user/month. This starting price includes access to its data management functionalities.

Pros:

• Robust solution for managing master data
• Excellent data quality governance capabilities
• Integrates well with major ERP systems

Cons:

• The learning curve may be steep for some users.
• Some users may find it to be on the expensive side.
• Customization might require technical knowledge.

Other Noteworthy Data Replication Software

Below is a list of additional data replication software I shortlisted but did not make it to the top 12. Definitely worth checking them out.

13. Oracle GoldenGate - Good for real-time data integration and replication across different databases
14. Dell RecoverPoint - Good for businesses needing robust continuous data protection for recovery
15. Qlik Replicate - Good for high-speed data ingestion and replication across a wide range of sources
16. Lyftrondata - Good for modernizing data infrastructure through data transformation and cataloging
17. Zerto - Good for enterprises needing IT resilience and disaster recovery
18. CData Sync - Good for easy replication of data to a wide variety of destinations
19. Acronis Cyber Protect - Good for comprehensive cyber protection, including backup and disaster recovery
20. SnapMirror Data Replication - Good for efficient replication of data across multiple locations
21. DBSync Cloud Replication - Good for businesses seeking easy data replication to and from the cloud
22. SharePlex - Good for zero impact data replication for Oracle databases
23. CouchDB - Good for applications that need offline capability and high availability of data
24. Daton - Good for integrating and replicating data from multiple sources into a data warehouse
25. DRaaS for Oracle - Good for Oracle customers needing a reliable disaster recovery solution
26. Comet Backup - Good for businesses needing a flexible and secure backup solution
27. IBM Cloudant - Good for applications requiring scalable and flexible NoSQL database

Selection Criteria for Choosing Data Replication Software

Several vital aspects come into play when seeking the ideal data replication software. I've personally tested a range of these tools, evaluating their features and functionalities, usability, and overall capacity to deliver as per users' needs.

Core Functionality

In the context of data replication software, these tools should empower you to:

• Implement both synchronous and asynchronous replication.
• Automate data replication processes to reduce manual labor and chances of error.
• Support multiple databases and data types to ensure versatility.
• Provide robust disaster recovery and backup solutions to prevent data loss.
• Enable real-time data integration for timely insights and decision-making.

Key Features

For data replication software, some crucial features I prioritized in my search include:

• High-speed Data Transfer: Essential for minimizing downtime and ensuring business continuity.
• Real-time Data Integration: Allows immediate access to up-to-date data from various sources.
• Secure Data Transmission: Critical in safeguarding sensitive information from breaches.
• Scalability: To accommodate growing data volumes without compromising performance.
• Conflict Resolution: To handle data conflicts that might arise during replication.

Usability

User experience in data replication tools extends beyond the graphical interface. Some of the things I was looking for include:

• An intuitive interface that simplifies complex replication processes.
• Detailed documentation and training resources for effective user onboarding.
• Excellent customer support that can resolve issues promptly and efficiently.
• Role-based access control for data privacy and security compliance.
• An alert system to notify users of any replication failures or system errors.

Most Common Questions Regarding Data Replication Software (FAQs)

What are the benefits of using data replication software?

Data replication software provides a myriad of benefits, including:

• Ensures Data Consistency: These tools provide consistency across multiple databases and locations.
• Supports Business Continuity: In case of any system failure, data replication enables businesses to maintain their operations with minimal disruption.
• Enhances Data Security: By creating copies of your data, replication tools reduce the risk of data loss due to malicious activities or system failures.
• Facilitates Real-Time Data Access: With data replication, you can also access up-to-date data from different sources at any given time, aiding in informed decision-making.
• Increases System Performance: By distributing the data load across multiple databases, these tools can also help improve system performance and speed up query responses.

How much does data replication software typically cost?

The cost of data replication software can vary widely depending on the complexity of the software, the features it offers, the volume of data it needs to handle, and the vendor.

What are the typical pricing models for data replication software?

Most data replication software offers several pricing models. Some charge a flat rate for the software, and others use a subscription model based on the number of users or volume of data. Often, businesses can choose from monthly, annual, or even multi-year subscriptions.

What is the typical range of pricing for data replication software?

Pricing for data replication software can range from around $20 per user per month for basic plans up to thousands of dollars per month for enterprise-level solutions with advanced features and support.

What are some of the cheapest and most expensive data replication software?

Among the cheaper data replication software options are Qlik Replicate and DBSync Cloud Replication, which offer affordable plans for smaller businesses or lower data volumes. On the more expensive end of the spectrum, solutions like Oracle GoldenGate and Syniti cater to large enterprises with complex data replication needs.

Are there any free options for data replication software?

Yes, there are a few free options available. Apache's CouchDB, for instance, offers basic data replication features at no cost. However, these free solutions often need more robust features, scalability, and support provided by paid tools.

Do these tools offer any trial periods or demos?

Many data replication software vendors offer free trials or demos. This allows potential users to test the software's features and usability before purchasing. Taking advantage of these trials is always recommended to ensure the software meets your business needs.

What should I look for when choosing data replication software?

When choosing software to replicate data, consider factors like the software's features, scalability, compatibility with your existing systems, security measures, pricing, and the quality of customer support the vendor provides. It's also beneficial to opt for a tool that offers a user-friendly interface and comprehensive documentation for ease of use.

Other Software Reviews

• Data Integration Tools
• Hybrid Cloud Solutions
• File Transfer Management Software

Summary

In conclusion, choosing the best data replication software requires a deep understanding of your business needs, the volume and complexity of your data, and the overall usability of the software. Various tools are available, each offering distinct features and functionalities that make them suitable for different types of use cases. Here are my takeaways:

1. Define Your Needs: Before you search for the perfect data replication software, could you identify your specific requirements? Consider the volume of data you need to handle, the level of security you require, and the complexity of your systems. This will guide your decision-making process and help you narrow down your choices.
2. Consider Usability and Support: A tool with a user-friendly interface and comprehensive customer support can significantly ease the transition and ongoing management. Look for a software solution that meets your technical requirements and provides a smooth user experience.
3. Pricing Models Matter: While pricing shouldn't be the sole deciding factor, choosing a tool that provides good value for money is essential. Consider the software's pricing model and whether it aligns with your budget. Remember, the cheapest option could be better, and the most expensive one may offer features you don't need. Always opt for a solution that best balances cost, features, and usability.

What Do You Think?

I hope this guide is a good starting point in your search for the right data replication software. It's crucial to research, compare different options, and understand what you're investing in before making a final decision.

Remember, the best software for you is the one that meets your specific needs and fits within your budget. If there are other data replication tools that you've found helpful or think should be added to the list, please feel free to share your recommendations. Your input can make this resource even more valuable for everyone in their journey towards finding the best data replication solution.