K2View vs. adepsi Comparison


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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.	About All your legacy customer interaction data in one place. Move all your historical customer interaction data to the cloud with adepsi. Securely move all your on-premise legacy data to the cloud. Adepsi takes all of your legacy call recording data and securely transfers it into the cloud. Once there, your legacy call recordings are available through a single, secure, user-friendly interface. Designed and built for the cloud, adepsi future proofs your valuable data and takes the risk, cost, and hassle out of meeting long retention requirements. As a native cloud platform taking full advantage of advanced AWS infrastructure, Adepsi can deliver levels of reliability that would be very difficult (and prohibitively expensive) to deliver in an on-premise model. Adepsi can scale up or down as required and backed by Amazon’s massive infrastructure, has access to compute and storage resources when needed.
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	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 Data engineers, data architects, data scientists, data testers, CIOs and business leaders	Audience Sales teams requiring a solution to manage their customer interaction data
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
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	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
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 Not Supported Live Online Supported In Person Supported
Company Information K2View Founded: 2009 United States k2view.com	Company Information adepsi Scotland www.adepsi.com
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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	Categories Cloud Migration 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 Integration Features Dashboard Not Supported ETL - Extract / Transform / Load Supported Metadata Management Not Supported Multiple Data Sources Not Supported Web Services Not Supported
Integrations ASC Not Supported Aircall Not Supported Amazon S3 Not Supported Amazon Web Services (AWS) Not Supported Azure Marketplace Supported Model Context Protocol (MCP) Supported NiCE CXone Mpower Not Supported PowerDialer.ai Not Supported Redbox Not Supported Salesforce Supported Verint AI Blueprint Not Supported Show More Integrations View All 3 Integrations	Integrations ASC Supported Aircall Supported Amazon S3 Supported Amazon Web Services (AWS) Supported Azure Marketplace Not Supported Model Context Protocol (MCP) Not Supported NiCE CXone Mpower Supported PowerDialer.ai Supported Redbox Supported Salesforce Not Supported Verint AI Blueprint Supported Show More Integrations View All 8 Integrations
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