K2View vs. Peekdata 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 Consume data from any database, organize it into consistent metrics, and use it with every app. Build your Data and Reporting APIs faster with automated SQL generation, query optimization, access control, consistent metrics definitions, and API design. It takes only days to wrap any data source with a single reference Data API and simplify access to reporting and analytics data across your teams. Make it easy for data engineers and application developers to access the data from any source in a streamlined manner. - The single schema-less Data API endpoint - Review and configure metrics and dimensions in one place via UI - Data model visualization to make faster decisions - Data Export management scheduling AP Ready-to-use Report Builder and JavaScript components for charting libraries (Highcharts, BizCharts, Chart.js, etc.) makes it easy to embed data-rich functionality into your products. And you will not have to make custom report queries anymore!
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 Supported Mac Not Supported Linux 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 Help application developers and data engineers wrap any data source with a Data API and ship analytics products much faster. Perfect for Startups, and SMEs. Large Enterprises will also benefit from the tool as part of their ecosystem.
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 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 $349 per month Flexible pricing for all types of deployment models: - Single license - SaaS - OEM Free Version 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 5.0 / 5 ease 5.0 / 5 features 4.5 / 5 design 4.5 / 5 support 5.0 / 5 Read all reviews
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.	Pros & Cons from Real Users Pros A very rewarding free tier meeting 80% of the functionality that we needed. Easy to integrate into existing infrastructure. Lightweight and flexible enough to meet our needs. Peekdata is a Data API that's built already. We didn't need to start from scratch to support multiple integration points with 3d parties. Otherwise, we’d be building an HTTP layer and abstraction over SQL to maintain many different types of requests. It saved a lot of time and brought convenience to developers. Cons We were early adopters before the UI configurator was introduced. As a result the learning curve is a bit steep when preparing first data models. The UI to configure the data model could be better, but it wasn't a big deal keeping in mind that the team was very responsive.
Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported
Company Information K2View Founded: 2009 United States k2view.com	Company Information Peekdata Founded: 2019 www.peekdata.io
Alternatives DATPROF	Alternatives Domo
Accelario	Looker Google
IRI DarkShield IRI, The CoSort Company	K2View
Delphix Perforce	Fivetran
dbt dbt Labs View All	SyncWith View All
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 API Management Supported Application Development Supported Data Engineering Supported Data Management Supported Embedded Analytics Supported Integration 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 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	Show More Features API Management Features Access Control Not Supported Analytics Supported API Design Supported API Lifecycle Management Not Supported Dashboard Not Supported Developer Portal Not Supported Testing Management Not Supported Threat Protection Not Supported Traffic Control Not Supported Version Control Not Supported Application Development Features Access Controls/Permissions Not Supported Code Assistance Not Supported Code Refactoring Not Supported Collaboration Tools Not Supported Compatibility Testing Not Supported Data Modeling Not Supported Debugging Not Supported Deployment Management Not Supported Graphical User Interface Not Supported Mobile Development Not Supported No-Code Not Supported Reporting/Analytics Supported Software Development Not Supported Source Control Not Supported Testing Management Not Supported Version Control Not Supported Web App Development Not Supported Embedded Analytics Features Ad hoc Query Supported Application Development Supported Benchmarking Not Supported Dashboard Not Supported Interactive Reports Not Supported Mobile Reporting Not Supported Multi-User Collaboration Not Supported Self Service Analytics Supported Streaming Analytics Not Supported Visual Workflow Management Not Supported
Integrations Amazon Redshift Not Supported Azure Marketplace Supported ClickHouse Not Supported Firebird Not Supported Google Cloud Bigtable Not Supported Hadoop Not Supported Model Context Protocol (MCP) Supported MongoDB Not Supported MySQL Not Supported Oracle Database Not Supported PostgreSQL Not Supported SAP Adaptive Server Enterprise (ASE) Not Supported SAP HANA Not Supported SAP SQL Anywhere Not Supported SQL Server Not Supported Salesforce Supported Snowflake Not Supported Vertica Not Supported Show More Integrations View All 3 Integrations	Integrations Amazon Redshift Supported Azure Marketplace Not Supported ClickHouse Supported Firebird Supported Google Cloud Bigtable Supported Hadoop Supported Model Context Protocol (MCP) Not Supported MongoDB Supported MySQL Supported Oracle Database Supported PostgreSQL Supported SAP Adaptive Server Enterprise (ASE) Supported SAP HANA Supported SAP SQL Anywhere Supported SQL Server Supported Salesforce Not Supported Snowflake Supported Vertica Supported Show More Integrations View All 15 Integrations
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