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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 ELCA Smart Data Lake Builder?
Conventional Data Lakes often reduce their function to being budget-friendly repositories for raw data, neglecting vital aspects like data transformation, quality control, and security measures. As a result, data scientists frequently spend up to 80% of their time on tasks related to data acquisition, understanding, and cleaning, which hampers their efficiency in utilizing their core competencies. Additionally, the development of traditional Data Lakes is typically carried out in isolation by various teams, each employing diverse standards and tools, making it challenging to implement unified analytical strategies. In contrast, Smart Data Lakes tackle these issues by providing comprehensive architectural and methodological structures, along with a powerful toolkit aimed at establishing a high-quality data framework. Central to any modern analytics ecosystem, Smart Data Lakes ensure smooth integration with widely used Data Science tools and open-source platforms, including those relevant for artificial intelligence and machine learning. Their economical and scalable storage options support various data types, including unstructured data and complex data models, thereby boosting overall analytical performance. This flexibility not only optimizes operations but also promotes collaboration among different teams, ultimately enhancing the organization's capacity for informed decision-making while ensuring that data remains accessible and secure. Moreover, by incorporating advanced features and methodologies, Smart Data Lakes can help organizations stay agile in an ever-evolving data landscape.
Integrations Supported
Amazon S3
Amazon Aurora
Amazon Redshift
Apache Spark
Hadoop
IBM Db2
JSON
MariaDB
MySQL
NetSuite
Integrations Supported
Amazon S3
Amazon Aurora
Amazon Redshift
Apache Spark
Hadoop
IBM Db2
JSON
MariaDB
MySQL
NetSuite
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Free
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
ELCA Group
Date Founded
1968
Company Location
Switzerland
Company Website
www.elca.ch/en/smart-data-lake-builder-efficient-way-lay-foundations-smarter-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