SCIKIQ
Pricing Model
Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
List of Features
- Integration
- Built-in Connectors
- Multiple Vendors & Clouds
- Structured & Unstructured Data
- Data Curation
- Preparation Studio
- Logical & Business Data Modeling
- Task Scheduling
- Data Governance
- Discovery & Cataloging
- Metadata Handling
- Data Quality
- Data Lineage Reporting
- Data Stewardship
- Data Consumption
- Analytics & Dashboards
Pricing Info
Pricing Info
SCIKIQ’s enterprise pricing plan details are available only upon request. It also has community editions that allow users to access and leverage the technologies and capabilities provided by various third-party platforms and software vendors without paying for separate, extra licenses.
Integrations
Integrations
SCIKIQ integrates with:
- Oracle
- PostgreSQL
- MySQL
- SQL Server
- DB2
- Teradata
- Kafka
- Webhook
- SAP Hana
- SAP App Server
- Dropbox
- S3
- Snowflake
- Debezium
- Hadoop
- SFDC
- Salesforce
- Parquet
- ORC
- Avro
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Allcargo Logistics, Vestige, PCBB
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
SCIKIQ is a Forrester-honored data management solution that lets you unlock and gain from the potentialities of your business data by augmenting data integration, preparation, analysis, and governance with AI and automation.
Company Email
enquiry@scikiq.com
Contact No.
Company's Address
SCIkIQ
1st Floor, Tower-A, Millennium Plaza, Sushant Lok Phase I, Sector 27, Gurugram, Haryana 122001
India
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Pricing Model
Free
Monthly payment
One-time payment
Annual Subscription
Quote-based
List of Features
- Built-in Enterprise Data Warehouse
- Dashboard
- Augmented Analytics
- ChirpBot
- Automated Data Distributed
- Intelligent Search Engine
- 100+ Connectors
- HIPAA-Compliant
Pricing Info
BIRD Analytics charges per user. There are four quote-based SMB and enterprise pricing plans to choose from – Start-up, Grow, Team +, and Enterprise. Features included in each plan are listed below. As for the price, kindly contact the vendor.
Start-up – By quote
- 15 users
- 1 Report Creator
- 3 Explorer
- 10 Viewer
- 10GB Storage
- Standard Connectors
- Help Center/Community
- Email Support
- Managed Services (add cost)
- Priority Support (add cost)
Grow Plan – By quote
- 30 users
- 3 Report Creator
- 7 Explorer
- 20 Viewer
- 25GB Storage
- Everything in the Start-up Plan
- Smart Insights
Team+ – By quote
- 70 users
- 5 Report Creator
- 20 Explorer
- 45 Viewer
- 50GB Storage
- Everything in the Grow Plan
- Premium Connectors
- Custom Logo
- AI/ML
- API
Enterprise Plan – By quote
- Custom number of users, Report Creator, Explorer, Viewer
- 100GB Storage
- Everything in the Team+
Integrations
BIRD Analytics offers an API for fast integration.
Languages Supported
English
Chinese
German
Hindi
Japanese
Spanish
French
Russian
Italian
Dutch
Portugese
Polish
Turkish
Swedish
Arabic
Prominent Clients
Available Devices
Windows
Linux
Android
iPhone/iPad
Mac
Web-based
Windows Mobile
Company Size
Small Business
Large Enterprises
Medium Business
Freelancers
Available Support
phone
live support
training
tickets
General Info
BIRD Analytics is an advanced data analytics platform that gives businesses easy and fast access to real-time analytics of any data.
Company Email
support@birdanalytics.ai
Company's Address
Lightning Insights Inc.
39899 Balentine Dr. Suite 190, Newark, CA 94560
USA
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All the data, details and experiences that we provided in this table were gathered from official company pages, advertising materials available online, actual experience from real clients as well as our own hands-on use of each app by an expert. We do our best to extensively study each solution, therefore we not only analyze it on our own, but we also match our observations with views of other people from the SaaS community.
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