Related Products
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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.
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About
Upsolver makes it incredibly simple to build a governed data lake and to manage, integrate and prepare streaming data for analysis. Define pipelines using only SQL on auto-generated schema-on-read. Easy visual IDE to accelerate building pipelines. Add Upserts and Deletes to data lake tables. Blend streaming and large-scale batch data. Automated schema evolution and reprocessing from previous state. Automatic orchestration of pipelines (no DAGs). Fully-managed execution at scale. Strong consistency guarantee over object storage. Near-zero maintenance overhead for analytics-ready data. Built-in hygiene for data lake tables including columnar formats, partitioning, compaction and vacuuming. 100,000 events per second (billions daily) at low cost. Continuous lock-free compaction to avoid “small files” problem. Parquet-based tables for fast queries.
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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
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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
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Audience
Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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Audience
Companies interested in a low-code data pipeline platform
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Supported
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Pricing
No information available.
Free Version
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Not Supported
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Company InformationK2View
Founded: 2009
United States
k2view.com
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Company InformationUpsolver
Founded: 2014
Israel
www.upsolver.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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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
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Big Data Features
Collaboration
Not Supported
Data Blends
Supported
Data Cleansing
Supported
Data Mining
Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Supported
No-Code Sandbox
Supported
Predictive Analytics
Not Supported
Templates
Not Supported
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Integrations
AWS IoT SiteWise
Not Supported
Azure Marketplace
Supported
Eco
Not Supported
Hive
Not Supported
Micromerce
Not Supported
Model Context Protocol (MCP)
Supported
PuppyGraph
Not Supported
Salesforce
Supported
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Integrations
AWS IoT SiteWise
Supported
Azure Marketplace
Not Supported
Eco
Supported
Hive
Supported
Micromerce
Supported
Model Context Protocol (MCP)
Not Supported
PuppyGraph
Supported
Salesforce
Not Supported
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