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Average Ratings 0 Ratings

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ease
features
design
support

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Description

A platform for data management powered by AI that allows data democratization. Insights drives innovation by integrating and centralizing all data sources, facilitating collaboration, and empowering organizations for innovation. SCIKIQ, a holistic business platform, simplifies the data complexities of business users through a drag-and-drop user interface. This allows businesses to concentrate on driving value out of data, allowing them to grow and make better decisions. You can connect any data source and use box integration to ingest both structured and unstructured data. Built for business users, easy to use, no-code platform, drag and drop data management. Self-learning platform. Cloud agnostic, environment agnostic. You can build on top of any data environment. The SCIKIQ architecture was specifically designed to address the complex hybrid data landscape.

Description

A low-code, no-code strategy enhances data quality management. This software-as-a-service (SaaS) model offers flexibility, cost-effectiveness, seamless integration, and robust support options. It maintains rigorous standards for encryption, identity management, role-based access control, data governance, and compliance. Utilizing advanced machine learning algorithms, it identifies anomalies in row-value data, with the capability to evolve alongside the unique requirements of users' businesses and datasets. Users can incorporate numerous data sources, records, and attributes effortlessly, making the platform resilient to unexpected increases in data volume. It accommodates both batch and streaming processing, ensuring that data is consistently monitored to provide real-time alerts without affecting pipeline performance. The platform offers a smooth onboarding, integration, and investigation process, making it accessible to data teams aiming to proactively spot and analyze anomalies as they arise. With a no-code onboarding process, users can simply connect to their data sources and set their alerting preferences. Telmai intelligently adapts to data patterns, notifying users of any significant changes, ensuring that they remain informed and prepared for any data fluctuations.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Apache Kafka
Snowflake
Amazon Kinesis
Amazon Redshift
Amazon Simple Queue Service (SQS)
Azure Blob Storage
Azure Service Bus
Azure Synapse Analytics
Dropbox
Google Cloud Dataflow
Google Cloud Pub/Sub
Hadoop
IBM Db2
MySQL
Oracle Cloud Infrastructure
SAP Cloud Platform
SQL Server
Teradata VantageCloud
X (Twitter)

Integrations

Amazon S3
Apache Kafka
Snowflake
Amazon Kinesis
Amazon Redshift
Amazon Simple Queue Service (SQS)
Azure Blob Storage
Azure Service Bus
Azure Synapse Analytics
Dropbox
Google Cloud Dataflow
Google Cloud Pub/Sub
Hadoop
IBM Db2
MySQL
Oracle Cloud Infrastructure
SAP Cloud Platform
SQL Server
Teradata VantageCloud
X (Twitter)

Pricing Details

$10,000 per year
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DAAS Labs

Founded

2014

Country

India

Website

scikiq.com

Vendor Details

Company Name

Telmai

Country

United States

Website

www.telm.ai/product-overview

Product Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Catalog Management

Catalog Creation
Content Library
Content Management
Cross Selling Functionality
Custom Product Attributes
Customizable Catalogs
Desktop Publishing
Pricing Management
Product Comparison
Search

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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 Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

PIM

Content Syndication
Data Modeling
Data Quality Control
Digital Asset Management
Documentation Management
Master Record Management
Version Control

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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