Hevo vs. K2View Comparison


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About Hevo Data is a no-code, bi-directional data pipeline platform specially built for modern ETL, ELT, and Reverse ETL Needs. It helps data teams streamline and automate org-wide data flows that result in a saving of ~10 hours of engineering time/week and 10x faster reporting, analytics, and decision making. The platform supports 100+ ready-to-use integrations across Databases, SaaS Applications, Cloud Storage, SDKs, and Streaming Services. Over 500 data-driven companies spread across 35+ countries trust Hevo for their data integration needs. Try Hevo today and get your fully managed data pipelines up and running in just a few minutes.	About At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies that want to load data into their data warehouse	Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders
Support Phone Support Not Supported 24/7 Live Support Supported Online Not Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $249/month Free Plan - $0 Starter Plan - $249 to $999 Business Plan - Custom Pricing Free Version Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Supported
Reviews/Ratings Overall 4.7 / 5 ease 5.0 / 5 features 4.7 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 3.0 / 5 ease 4.0 / 5 features 5.0 / 5 design 5.0 / 5 support 4.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Best part about Hevo is the product itself. It’s very easy to use and has good UI. The live customer support is Cherry on the cake. Easy to use & interactive user interface. The addition of new tables is easy & quick. Built in transformation script is quite handy. Hevo is an excellent data loader. It's very easy to set up data pipelines using the native data sources. Where native integrations are not available, it's pretty straightforward to set up a connection using the Rest API or Webhook connectors. I love how transparent the data ingestion and loading process is - really clear on when something fails and how to repair it. Customer service/support is fantastic as well, fast and responsive. Pricing is very competitive. There is no limit on number of data sources, the only limit is the row/event count that you pay for. And on top of that there's Hevo Activate for reverse ETL. Cons Nothing at this point in time. As of now it’s working well for us. Initial setup can require DevOps knowledge. Transformation script might fail for complex modifications. I wouldn't say cons as such, but some improvements would be more destinations for Hevo Activate, and possibly some better reporting so you can really dig into what specific data pipelines are doing (data volumes for tables, that kind of thing - it's in the dashboard, but if we could see it in a report that would be good)	Pros & Cons from Real Users Pros 1.Great integration fast 1-2 months instead of a year . 2.good performance due to clustering(cassandra) 3.In memory data management 4. Standard SQL to query data 5.Good scalability 6.New and efficient ETL solution Cons 1.solution cost at least 1M $! 2.k2view uses it's own deployment team.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Supported Live Online Supported In Person Supported
Company Information Hevo Data Founded: 2016 India hevodata.com	Company Information K2View Founded: 2009 United States k2view.com
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Categories Data Extraction Supported Data Integration Supported Data Pipeline Supported Data Replication Supported ETL Supported Integration Supported Reverse ETL Supported	Categories Application Modernization Supported Cloud Migration Supported Customer Data Platforms (CDP) Supported Data Catalog Supported Data Engineering Supported Data Fabric Supported Data Governance Supported Data Integration Supported Data Management Supported Data Masking Supported Data Pipeline Supported Data Preparation Supported Data Privacy Management Supported Data Subject Access Request (DSAR) Supported Data Virtualization Supported DataOps Supported GDPR Compliance Supported Integration Supported iPaaS Supported Master Data Management Supported Metadata Management Supported Sensitive Data Discovery Supported Synthetic Data Generation Supported Test Data Management Supported
Integration Features Dashboard Supported ETL - Extract / Transform / Load Supported Metadata Management Not Supported Multiple Data Sources Supported Web Services Not Supported Show More Features Data Extraction Features Disparate Data Collection Supported Document Extraction Not Supported Email Address Extraction Not Supported Image Extraction Not Supported IP Address Extraction Not Supported Phone Number Extraction Not Supported Pricing Extraction Not Supported Web Data Extraction Not Supported Data Replication Features Asynchronous Data Replication Supported Automated Data Retention Supported Continuous Replication Supported Cross-Platform Replication Supported Dashboard Supported Instant Failover Not Supported Orchestration Not Supported Remote Database Replication Supported Reporting / Analytics Supported Simulation / Testing Not Supported Synchronous Data Replication Supported ETL Features Data Analysis Not Supported Data Filtering Supported Data Quality Control Supported Job Scheduling Supported Match & Merge Not Supported Metadata Management Not Supported Non-Relational Transformations Supported Version Control Not Supported	Integration Features Dashboard Not Supported ETL - Extract / Transform / Load Supported Metadata Management Not Supported Multiple Data Sources Not Supported Web Services Not Supported Show More Features Data Fabric Features Data Access Management Not Supported Data Analytics Not Supported Data Collaboration Not Supported Data Lineage Tools Supported Data Networking / Connecting Supported Metadata Functionality Supported No Data Redundancy Not Supported Persistent Data Management Not Supported Data Management Features Customer Data Not Supported Data Analysis Not Supported Data Capture Not Supported Data Integration Supported Data Migration Supported Data Quality Control Not Supported Data Security Not Supported Information Governance Not Supported Master Data Management Supported Match & Merge Not Supported
Integrations Salesforce Supported 5X Supported Adobe Marketo Engage Supported Amazon S3 Supported Amplitude Supported Apache Kafka Supported Apache Superset Supported Apify Supported AppsFlyer Supported Confluent Supported Criteo Supported Google Cloud BigQuery Supported Google Drive Supported Klaviyo Supported LinkedIn Supported Outbrain Supported Redash Supported X Ads (Twitter Ads) Supported YouTube Supported Zendesk Supported Show More Integrations View All 62 Integrations	Integrations Salesforce Supported 5X Not Supported Adobe Marketo Engage Not Supported Amazon S3 Not Supported Amplitude Not Supported Apache Kafka Not Supported Apache Superset Not Supported Apify Not Supported AppsFlyer Not Supported Confluent Not Supported Criteo Not Supported Google Cloud BigQuery Not Supported Google Drive Not Supported Klaviyo Not Supported LinkedIn Not Supported Outbrain Not Supported Redash Not Supported X Ads (Twitter Ads) Not Supported YouTube Not Supported Zendesk Not Supported Show More Integrations View All 3 Integrations
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