K2View vs. IBM StreamSets 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 IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders	Audience DevOps teams
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing $1000 per month 5 active jobs 5 users 50 published pipelines 99.9% uptime Email Support (Business hours M-F) Free Version Free Trial
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 Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information K2View Founded: 2009 United States k2view.com	Company Information IBM Founded: 1911 United States www.ibm.com/products/streamsets
Alternatives DATPROF	Alternatives Fivetran
Accelario	Striim
IRI DarkShield IRI, The CoSort Company	Apache Airflow The Apache Software Foundation
Delphix Perforce	Azure Event Hubs Microsoft
dbt dbt Labs View All	Lenses Lenses.io View All
Categories Application Modernization Cloud Migration Customer Data Platforms (CDP) Data Catalog Data Engineering Data Fabric Data Governance Data Integration Data Management Data Masking Data Pipeline Data Preparation Data Privacy Management Data Subject Access Request (DSAR) Data Virtualization DataOps GDPR Compliance Integration iPaaS Master Data Management Metadata Management Sensitive Data Discovery Synthetic Data Generation Test Data Management	Categories Data Integration Data Pipeline DataOps DevOps Event Stream Processing Streaming Analytics
Show More Features Data Fabric Features Data Access Management Data Analytics Data Collaboration Data Lineage Tools Data Networking / Connecting Metadata Functionality No Data Redundancy Persistent Data Management Data Management Features Customer Data Data Analysis Data Capture Data Integration Data Migration Data Quality Control Data Security Information Governance Master Data Management Match & Merge Integration Features Dashboard ETL - Extract / Transform / Load Metadata Management Multiple Data Sources Web Services	Show More Features DevOps Features Approval Workflow Dashboard KPIs Policy Management Portfolio Management Prioritization Release Management Timeline Management Troubleshooting Reports Streaming Analytics Features Data Enrichment Data Wrangling / Data Prep Multiple Data Source Support Process Automation Real-time Analysis / Reporting Visualization Dashboards
Integrations Salesforce Amazon Redshift Amazon Simple Queue Service (SQS) Apache Cassandra Azure Data Lake Storage Azure Marketplace CrateDB Delta Lake Elasticsearch FileTrail Records Management HPE Ezmeral Data Fabric Hadoop Model Context Protocol (MCP) MongoDB MySQL PostgreSQL Redis SAP HANA Snowflake Splunk Cloud Platform Show More Integrations View All 3 Integrations	Integrations Salesforce Amazon Redshift Amazon Simple Queue Service (SQS) Apache Cassandra Azure Data Lake Storage Azure Marketplace CrateDB Delta Lake Elasticsearch FileTrail Records Management HPE Ezmeral Data Fabric Hadoop Model Context Protocol (MCP) MongoDB MySQL PostgreSQL Redis SAP HANA Snowflake Splunk Cloud Platform Show More Integrations View All 21 Integrations
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