Hevo and Informatica Cloud Data Integration are sometimes compared for numerous use cases in Data Integration. We have a detailed features table below. You can also customize your requirements and get expert ratings comparing these two solutions against hundreds of data points across Scalability, Security, Platform, User Interface, Data Delivery, Data Governance, Distributed Architecture, Integration, Data Replication, Release Management, Backup and Disaster Recovery, Error Handling and Monitoring and Compliance.
Hevo is a zero-maintenance data pipeline platform that stands out for its no-code, bi-directional data pipeline functionality, catering to modern ETL, ELT, and Reverse ETL needs. It automates data synchronization from over 150 data sources, including SQL, NoSQL, and SaaS applications, to warehouses, transforming data for analytics. This automation alleviates manual management of pipelines, saving significant engineering time and accelerating reporting, analytics, and decision-making processes.
Informatica's solution presents a broad array of features, including data synchronization, replication, and integration. Yet, it often requires substantial upfront configuration and its user interface, while functional, could use an upgrade to improve intuitiveness. Its high-performance promise holds up well, but the complexity and sometimes opaque pricing model can be a deterrent for smaller organizations or those with more straightforward integration needs.
Customize these feature priorities in Taloflow and get expert ratings for your exact use case.
| Feature | Dimensions | Description | Hevo | Informatica |
|---|---|---|---|---|
| Bulk Data Movement |
|
Ability to move bulk data between data repositories. | Poor | Great |
| Data Cataloging |
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It can natively provide an inventory of data assets in the organization or integrate with other data cataloging tools. | Poor | Good |
| Data Enrichment |
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Enhances the quality and value of data by integrating it with relevant external data sources or services. | Poor | Good |
| Data Extraction |
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Extracts data from various sources, including structured and unstructured data. | Poor | Good |
| Data Federation |
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Integrates data from disparate sources by creating a virtual database that provides a unified view of the data. | Poor | Great |
| Data Mapping |
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Maps and merges data from different sources based on common attributes or key fields. | Poor | Good |
| Data Migration |
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Ability to migrate data from data repositories and applications. | Poor | Good |
| Data Source Auto-detection |
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It automatically detects and connects to various data sources, simplifying the data integration setup process. | Poor | Good |
| Data Synchronization |
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Ability to synchronize data conflicts that could emerge due to replication of data across distributed devices. | Poor | Good |
| Data Transformation |
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Ensures data consistency and quality by transforming, cleansing, and normalizing data. | Poor | Great |
| Data Virtualization |
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Creates in-memory virtualized views from data in disparate sources. | Poor | Great |
| Error Handling & Recovery |
|
It can detect, report, and recover from errors during data integration, ensuring system reliability. | Poor | Good |
| Event-driven |
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Ability to execute data flows based on a relevant event. | Poor | Good |
| Real-time Data Delivery |
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Ability to deliver near-real time data required for analysis. | Poor | Good |
| Schema Evolution |
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Manages schema changes in data sources, ensuring seamless integration and adaptability to evolving data structures. | OK | Great |
| Streaming Data Delivery |
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Ability to deliver streaming-oriented data movement or stream analysis. | Poor | Good |
| Change Data Capture (CDC) |
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Support is available for capturing only the changes made to the source data, reducing the amount of data that needs to be transferred. | Poor | Good |
| Data Visualization and Analytics |
|
It provides built-in tools or compatibility with third-party tools for data visualization, reporting, and analytics. | Poor | Good |
| Full Data Replication |
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Support is available for replicating the full database to almost every location or user in the communication network. | Poor | Good |
| Key-based Data Replication |
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Support is available for replicating data between two systems based on a defined set of keys or fields that uniquely identify each record or row in the source system. | Poor | OK |
| Log-based Data Replication |
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Support is available for data replication between source and target databases by reading transaction logs. | Poor | OK |
| Multi Server Synchronization |
|
Support is available for synchronizing changes bi-directionally between source and multiple targets. | OK | OK |
| Orchestration |
|
It orchestrates and automates data integration tasks and workflows, streamlining processes and improving efficiency. | Poor | Good |
| Unidirectional Replication |
|
Support is available for unidirectional replication of the dataset, mostly in the case of creating a backup copy. | Poor | Good |
| ANSI X.12 |
|
It supports the industry-specific ANSI X12 format that is used for uniform standards for the inter-industry electronic exchange of business transactions. | Poor | OK |
| AS2 |
|
It supports the AS2 B2B messaging protocol used for transferring EDI documents to B2B trading partners. | Poor | Good |
| Alation |
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It can integrate with the data cataloging tool Alation. | Poor | Good |
| Alteryx |
|
It can integrate with the data cataloging tool Alteryx. | Poor | Good |
| Amazon Kinesis |
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It supports real-time data streaming by integrating with Amazon Kinesis. | Poor | Good |
| Amazon RDS |
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It provides a ready-made connector for Amazon RDS. | Good | Good |
| Amazon Redshift |
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It provides a ready-made connector for Amazon Redshift. | Good | Great |
| Apache Flink |
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It supports real-time data streaming by integrating with Apache Flink. | Poor | OK |
| Apache Kafka |
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It supports real-time data streaming by integrating with Apache Kafka. | OK | Good |
| Apache NiFi |
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It supports real-time data streaming by integrating with Apache NiFi. | Poor | OK |
| Azure Active Directory |
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It provides a ready-made connector for Azure active Directory. | Poor | Poor |
| Azure Blob Storage |
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It provides a ready-made connector for Azure Blob Storage. | Good | Great |
| Azure CosmosDB |
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It provides a ready-made connector for Azure CosmosDB. | Poor | Great |
| Azure Data Factory |
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It provides a ready-made connector for Azure Data Factory. | Poor | OK |
| Azure Data Lake |
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It provides a ready-made connector for Azure Data Lake. | Poor | Great |
| Cassandra |
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It provides a ready-made connector for Cassandra. | Poor | Good |
| Cloudera |
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It can integrate with the data cataloging tool Cloudera. | Poor | Good |
| Collibra |
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It can integrate with the data cataloging tool Collibra. | Poor | Good |
| CouchDB |
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It provides a ready-made connector for CouchDB. | Poor | OK |
| Couchbase |
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It provides a ready-made connector for CouchBase. | Poor | Good |
| EANCOM |
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It supports the EANCOM format, which is a subset of the EDI format and is used to integrate information sent electronically with the physical flow of goods. | Poor | OK |
| EDIFACT |
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It supports the EDIFACT Document standard that is used for transferring EDI documents to B2B trading partners. | Poor | Good |
| EDIFICE |
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It supports the EDIFICE format, which is the European B2B standard format for the electronics industry. | Poor | OK |
| Google Cloud CDN |
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It provides a ready-made connector for Google Cloud CDN. | Poor | Poor |
| HL7 |
|
It supports international standards for the transfer of clinical and administrative data between software applications that use HL7. | Poor | Great |
| IBM Db2 |
|
It provides a ready-made connector for IBM DB2. | Good | Good |
| IBM InfoSphere Master Data Management |
|
It has the ability to integrate with the MDM tool IBM InfoSphere Master Data Management. | Poor | Good |
| Impact Analysis |
|
It analyzes the potential impact of changes to data integration processes, helping to mitigate risks and ensure data quality. | Poor | Good |
| In Memory Processing |
|
Support is available for in-memory processing through an in-memory database or cache to process large volumes of data. | Poor | Good |
| Informatica |
|
It can integrate with the data cataloging tool Informatica. | Poor | Great |
| Informatica MDM Cloud |
|
It has the ability to integrate with the MDM tool Informatica MDM cloud. | Poor | Great |
| Master Data Management (MDM) |
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It natively provides the ability to create a centralized repository of master data that serves as the authoritative source for all related data elements, or it can integrate with third-party MDM tools. | Poor | Great |
| Microsoft SQL Server |
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It provides a ready-made connector for Microsoft SQL Server. | Good | Great |
| MongoDB |
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It provides a ready-made connector for MongoDB. | Good | Good |
| NoSQL Databases |
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It has the ability to connect with NoSQL databases like MongoDB, Redis, and Cassandra. | OK | Great |
| OpenAI Connector |
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It provides a ready-made connector for OpenAI. | Poor | Good |
| Oracle Database |
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It provides a ready-made connector for Oracle Database. | OK | Good |
| PostgreSQL |
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It provides a ready-made connector for PostgreSQL. | OK | Good |
| Redis |
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It provides a ready-made connector for Redis. | Poor | Good |
| Relational Databases |
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It has the ability to connect with relational databases like IBM DB2 and Microsoft SQL Server. | OK | Great |
| RosettaNet |
|
It supports the RosettaNet format that is mostly used for B2B data exchange in high-tech and the electronics industry. | Poor | Poor |
| SAP Hana Cloud |
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It provides a ready-made connector for SAP Hana Cloud. | Poor | Good |
| SAP Master Data Governance |
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It has the ability to integrate with the MDM tool SAP Master Data Governance. | Poor | Good |
| SWIFT |
|
It supports the SWIFT international payment transfers network. | Poor | Good |
| Snowflake |
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It provides a ready-made connector for Snowflake. | Good | Good |
| StreamSets |
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It supports real-time data streaming by integrating with StreamSets. | Poor | OK |
| TIBCO EBX |
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It has the ability to integrate with the MDM tool Tibco EBX. | Poor | Good |
| TRADACOMS |
|
It supports the TRADACOMS format that is mostly used for B2B data exchange in the UK retail sector. | Poor | Poor |
| Talend |
|
It can integrate with the data cataloging tool Talend. | Poor | Good |
| Talend MDM |
|
It has the ability to integrate with the MDM tool Talend MDM. | Poor | Good |
| VDA |
|
It supports the VDA format, which is a German B2B standard for the auto industry. | Poor | Poor |
| XBRL |
|
It supports the XBRL format that is mostly used for ecommerce B2B data exchange. | Poor | OK |
| CCPA |
|
Regulation on data protection and privacy of the data tied to residents of California. | Great | Great |
| FFIEC |
|
Complies with the encryption requirements for all online transaction processing (OLTP) done by financial institutions. | NA | NA |
| FISMA |
|
Compliance with U.S. government legislation defines a comprehensive framework that protects government information, operations, and assets against threats. | NA | NA |
| FedRAMP |
|
Ensures that the government security requirements outlined in NIST 800-53 are met and supplemented by the PMO of FedRAMP. | NA | Great |
| GDPR |
|
Regulation on data protection and privacy of the data tied to citizens and residents of EU countries. | Great | Great |
| HIPAA |
|
Demonstrates security and compliance with healthcare industry standards. | Great | Great |
| HITRUST |
|
Demonstrates compliance with HITRUST CSF, an industry-agnostic certifiable framework for regulatory compliance and risk management. This framework, developed by the not-for-profit organization HITRUST, contains a set of prescriptive controls that relate to organizational processes and technical controls for processing, storing, and transmitting sensitive data. | NA | NA |
| IRAP |
|
Australian government standard assesses the implementation and effectiveness of an organization’s security controls against the Australian government’s security requirements. | NA | NA |
| MTCS |
|
Multi-tier cloud security standard is set up by the government of Singapore. | NA | NA |
| PCI |
|
Standard ensures that security guidelines are met for all entities that store, process, or transmit cardholder data and/or sensitive authentication data. | NA | Great |
| PSD2 |
|
Demonstrates compliance with European regulations related to the Payment Services Directive. | NA | Great |
| SOC 2 TYPE 1 |
|
Standard assesses an organization's cybersecurity controls at a single point in time. | Great | Great |
| SOC 2 TYPE 2 |
|
Standard provides an internal control report capturing how a company safeguards customer data and how well those controls are operating. | Great | Great |
| SOX |
|
Standard for public companies ensures that annual audits take place and are legally required to show evidence of accurate and secure financial reporting. | NA | Great |
| User Authentication via IAM |
|
Enables user authentication using identity and access management tools. | Poor | Good |
| Workflow Management |
|
Support is available for workflow management of the data integration development process. | Poor | Good |
| Data Partitioning |
|
It can implement data partitioning techniques to improve performance and parallel processing during integration. | OK | Good |
| Delivery Mode Switching |
|
It has the ability to migrate between delivery modes with minimal rework. | Poor | OK |
| Distributed Processing |
|
Support is available for dividing data integration tasks into smaller sub-tasks, which can be processed simultaneously across multiple nodes. | Poor | Good |
| Distributed architecture support |
|
It has the ability to coordinate distributed processing across multiple platforms as well as distribute data integration workstream across diverse platforms. | Poor | Good |
| Common Design |
|
It ensures consistency across environments to support all delivery models. | Poor | Good |
| Common Metadata |
|
It can seamlessly share and sync metadata repositories. | Poor | Good |
| Data Archiving |
|
It stores historical data for long-term retention, enabling compliance, backup, and historical analysis. | Poor | Good |
| Data Governance Dashboard |
|
It provides a dashboard for monitoring data governance activities and outcomes. | Poor | Good |
| Data Model Creation |
|
It provides support for creating and maintaining data models. | Poor | Great |
| Data Profiling |
|
Support is available for reviewing source data, understanding structure, content and interrelationships, and identifying potential for data projects. | Poor | Great |
| Data Quality Monitoring |
|
Support is available for tracking, measuring, and improving the quality of data. | Poor | Good |
| Metadata Management |
|
Support is available for managing metadata to ensure data consistency, accuracy, and standardization. | Poor | Good |
| Model Relationship |
|
There is support available for defining relationships between data models using a graphical UI. | Poor | Good |
| Relationship Discovery |
|
Support is available for metadata interchange with data mining tools. | Poor | Good |
| Version Control |
|
It offers version control and provisioning. | Poor | Good |
| Disaster Recovery |
|
It can develop and implement a disaster recovery plan for the data integration system. | Poor | Good |
| Change Management |
|
It has the ability to support managing changes to data sources, data structures, or data integration processes. | Poor | Good |
| Cloud Deployment |
|
The platform can be deployed on the cloud. | OK | Great |
| Containerization Support |
|
Support is available for deploying and orchestrating using containers such as Docker and Kubernetes. | Poor | Good |
| Hosted PaaS |
|
It offers a hosted deployment model via a dedicated, single-tenant implementation. | OK | Great |
| Hybrid or Multicloud Deployment |
|
The platform's runtime component can be deployed either on premises or in a cloud infrastructure different from the infrastructure where the development, governance, and operation components run. | OK | Great |
| Monitoring & Alerting |
|
It can implement monitoring and alerting mechanisms to proactively detect and address data integration issues. | Poor | Good |
| On-premises Deployment |
|
The platform can be deployed on-premises. | Poor | Good |
| Performance Monitoring |
|
Support is available for monitoring the performance scalability of the integrations developed. | Poor | Good |
| Runtime Administration |
|
It provides tools for developers and administrators to manage runtime. | Poor | Good |
| Data Preparation |
|
It can natively provide features for data preparation or integrate with third-party data preparedness tools. | Poor | Good |
| High Availability |
|
It can ensure continuous operation and minimize downtime of the data integration system. | Poor | Great |
| Multilingual User Interface support |
|
The UI tool can be presented in the user's language of choice. | Poor | Good |
| Self-Optimization |
|
The data integration tool has the ability to use operational insight of tool activities to optimize the tool platform itself, such as just-in-time deployment, elastic scaling, and self-healing, etc. | Poor | Good |
| Suitable for IT Practitioners |
|
It offers a mix of low-code and advanced tooling. | Poor | Good |
| Suitable for Integration Specialists |
|
The UX is suitable for advanced or highly-skilled integration domain experts. | Poor | Great |
| Suitable for Line of Business Users |
|
The UX is highly effective for non-integration specialists. | OK | Good |
| Audit Trails |
|
Provides audit trails to track changes made to data during the integration process. | OK | Good |
| Custom Authorization Policies |
|
Enables access control through authorization policies. | Poor | Good |
| Data Encryption |
|
Protects data confidentiality by converting it to encoded form. | OK | Good |
| Data Masking |
|
Masks your data while it's in motion. | OK | Good |
| Key Management |
|
Natively provides key management or integrates with key management tools for creating, managing, and controlling cryptographic keys. | Poor | Great |
| Multi Factor Authentication (MFA) |
|
Supports customers by adding an extra security step to the authentication process. | OK | Good |
| Role Based Access Control (RBAC) |
|
Authorizes and restricts access to specific functions based on the user's role within the organization. | OK | Great |
| Row/Column Level Security |
|
Supports access permissions to specific rows or columns, restricting users/roles from accessing specific pieces of data in the system. | OK | Good |
| Single Sign On (SSO) |
|
Configures Single Sign-On (SSO) using SAML 2.0 for user access to multiple applications. | OK | Good |
| Transport Layer Security (TLS) |
|
Enables transport layer security for secure server communication. | OK | Good |
| User Activity Logs |
|
Tracks the activity of users on the platform. | Poor | Great |
| AI Code Generation |
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Support is available to generate code based on the user's configuration, allowing users to customize workflows and integrate with other systems. | Poor | Good |
| AI Copilot |
|
It provides conversational interface that leverages LLMs to support integration-related work. | Poor | OK |
| AI Recommendation Engine |
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It provides a recommendation service to help with next best action when building integrations. | Poor | Good |
| AI-Driven Pipeline Generation |
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It provides automated data pipeline generation based on user inputs. | NA | Good |
| Code Editors |
|
It has the ability to use code editors for writing custom code or scripts. | Poor | Good |
| Code-free Development |
|
It provides a feature to enable developers to build data integration workflows without the need for complex coding or scripting. | OK | OK |
| Collaboration Features |
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It provides features that enable multiple developers to work together on data integration workflows. | OK | Good |
| Graphical Interface |
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Support is available for the graphical representation of data models and data flows. | Poor | Good |
| Reusable Integration Templates |
|
It provides templates and accelerators to speed up the development of integrations. | Poor | Great |
| Workflow Automation |
|
It can automate data integration processes to improve efficiency and reduce manual intervention. | OK | Great |
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