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What is Sesame Software?
With the combination of specialized enterprise partnership expertise and a user-friendly, scalable data management suite, you can regain command over your data, access it globally, maintain security and compliance, and harness its potential for business growth.
Why Choose Sesame Software?
Relational Junction facilitates the automatic building, population, and incremental refreshing of your data.
Improve Data Quality
- Transform data from diverse sources into a uniform format, resulting in enhanced accuracy that underpins sound decision-making.
Extract Insights
- By automating the aggregation of information into a centralized location, you can leverage your internal BI tools to create valuable reports, helping you sidestep expensive errors.
Consistent Pricing
- Eliminate unpredictable costs with fixed yearly pricing and long-term discounts, regardless of your data volume.
With these advantages, your organization can unlock new opportunities and streamline operations.
What is Azure Data Lake?
Azure Data Lake offers a comprehensive set of features that empower developers, data scientists, and analysts to easily store all kinds of data, regardless of their size or format, while also enabling various processing and analytical tasks across multiple platforms and programming languages. By resolving the complexities related to data ingestion and storage, it greatly speeds up the process of initiating batch, streaming, and interactive analytics. Furthermore, Azure Data Lake is engineered to seamlessly integrate with existing IT infrastructures concerning identity, management, and security, thereby streamlining data governance and overall management. It also allows for smooth integration with operational databases and data warehouses, which helps users enhance their existing data applications. Drawing on a wealth of experience with enterprise clients and handling significant data processing and analytics workloads for major Microsoft services including Office 365, Xbox Live, Azure, Windows, Bing, and Skype, Azure Data Lake effectively tackles numerous productivity and scalability challenges that can impede optimal data use. As a result, organizations can effectively harness this robust platform to fully unlock the potential of their data assets, fostering improved decision-making processes and innovative insights that drive business growth. This makes Azure Data Lake not just a tool, but a strategic asset for organizations looking to transform their data into actionable intelligence.
Integrations Supported
Apache Atlas
Apache Hudi
Apache Pinot
Azure Data Lake Storage
Azure HDInsight
Azure Synapse Analytics
Dimodelo
Google Cloud Vertex AI Workbench
Microsoft Dynamics 365
Microsoft Power BI
Integrations Supported
Apache Atlas
Apache Hudi
Apache Pinot
Azure Data Lake Storage
Azure HDInsight
Azure Synapse Analytics
Dimodelo
Google Cloud Vertex AI Workbench
Microsoft Dynamics 365
Microsoft Power BI
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Sesame Software
Date Founded
1988
Company Location
United States
Company Website
sesamesoftware.com
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/solutions/data-lake/
Categories and Features
Archiving
Access Control
Data Deduplication
Document Management
Email Archiving
Multimedia Archiving
Retention Management
Storage Management
Version Control
Web Archiving
eDiscovery
Backup
Backup Log
Backup Scheduling
Cloud Backup
Compression
Continuous Backup
Encryption
Incremental Backup
Local Server Options
Remote Server Options
Secure Data Storage
Web Access / Restoration
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Data Loss Prevention
Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
Disaster Recovery
Administration Policies
Bare-Metal Recovery
Encryption
Failover Testing
Flexible Data Capture
Multi-Platform Support
Multiple Data Type Support
Offline Storage
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services