IBM Databand vs. K2View Comparison


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About Monitor your data health and pipeline performance. Gain unified visibility for pipelines running on cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. An observability platform purpose built for Data Engineers. Data engineering is only getting more challenging as demands from business stakeholders grow. Databand can help you catch up. More pipelines, more complexity. Data engineers are working with more complex infrastructure than ever and pushing higher speeds of release. It’s harder to understand why a process has failed, why it’s running late, and how changes affect the quality of data outputs. Data consumers are frustrated with inconsistent results, model performance, and delays in data delivery. Not knowing exactly what data is being delivered, or precisely where failures are coming from, leads to persistent lack of trust. Pipeline logs, errors, and data quality metrics are captured and stored in independent, isolated systems.	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 Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Scientists and engineers looking for a solution for agile machine learning development	Audience Data engineers, data architects, data scientists, data testers, CIOs and business leaders
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 No information available. Free Version Free Trial
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	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
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information IBM Founded: 1911 United States www.ibm.com/products/databand	Company Information K2View Founded: 2009 United States k2view.com
Alternatives Datameer	Alternatives DATPROF
Sifflet	Accelario
Mozart Data	IRI DarkShield IRI, The CoSort Company
dbt dbt Labs	Delphix Perforce
Aggua View All	Datameer View All
Categories Data Engineering Data Lineage Data Preparation Data Quality Data Visualization Observability	Categories 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 GDPR Compliance Integration iPaaS Master Data Management Metadata Management Sensitive Data Discovery Synthetic Data Generation Test Data Management
	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
Integrations Amazon EMR Amazon Redshift Amazon Web Services (AWS) Apache Airflow Apache Spark Azure Marketplace Databricks Data Intelligence Platform Delta Lake Docker Google Cloud BigQuery Google Cloud Composer Google Cloud Dataproc Google Cloud Storage Kubernetes MLflow Microsoft Azure MySQL Salesforce Scala Snowflake Show More Integrations View All 24 Integrations	Integrations Amazon EMR Amazon Redshift Amazon Web Services (AWS) Apache Airflow Apache Spark Azure Marketplace Databricks Data Intelligence Platform Delta Lake Docker Google Cloud BigQuery Google Cloud Composer Google Cloud Dataproc Google Cloud Storage Kubernetes MLflow Microsoft Azure MySQL Salesforce Scala Snowflake Show More Integrations View All 2 Integrations
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