Sold by: Singdata
Deployed on AWS
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Your Ultimate Data x AI Infrastructure
Unify, Optimize, and Innovate with a unified data platform to unlock the full potential of your data
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Overview
Start with our 14-day free trial including basic features and community support. For new users, our $1 first-month tier unlocks full features plus $20 in usage credits. After initial prepaid credits, seamlessly transition to Pay-As-You-Go billing based on actual consumption. Detailed pricing and enterprise options available at https://www.singdata.com/documents/pricing Singdata Lakehouse is a next-generation data platform designed for the AI era. Built on a unified lakehouse architecture, it offers an open, fully managed foundation for all your data storage, analytics, and AI workloads. With Singdata's incremental compute engine and native support for data lake standards, your organization can achieve real-time insights and agile machine learning capabilities faster than ever. By eliminating traditional data silos and integrating batch, streaming, and interactive workloads, Singdata Lakehouse simplifies your modern data stack. Its open architecture ensures maximum flexibility and compatibility, while unified governance and security controls empower you to innovate confidently across all data and AI use cases. Start prepaid, scale with Pay-As-You-Go. Our hybrid model offers low-barrier entry through prepaid tiers that automatically transition to usage-based billing. Pay only for what you consume with no minimums and cancel anytime. Contact service@singdata.com for enterprise contracts and volume discounts.
Highlights
- Simple: Singdata delivers a fully managed lakehouse that integrates data storage, analytics, and AI workflows on a unified platform powered by Amazon S3 and industry-leading open formats.
- Open & Flexible: Built on open-source technologies and open standards, Singdata empowers you to avoid vendor lock-in and seamlessly integrate with your existing data ecosystem.
- AI-Ready: Singdata provides an AI-optimized data foundation with real-time incremental compute capabilities, enabling faster model iteration, smarter analytics, and scalable experimentation.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free according to the free trial terms set by the vendor.
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Compute | Compute pricing applies to all virtual clusters and ingestion jobs. Compute usage is billed at 1.86 USD per CRU hour for the Enterprise edition and 1.24 USD per CRU hour for the Standard edition. | $1.00 |
Storage | Storage is billed based on monthly usage volume at a rate of 0.025 USD per GiB per month beyond any included allowance. | $1.00 |
Data Transfer | Internet transfer Includes 30 GiB of outbound Internet traffic per month. $0.12 per GiB | $1.00 |
Starter Package | Experience the full platform for 30 days - only $1 | $1.00 |
Vendor refund policy
If you have subscribed to Singdata Lakehouse products that you no longer wish to use, please contact us (E-mail:Service@singdata.com ) to unsubscribe or stop auto-renewal of the relevant products as necessary.
Custom pricing options
Request a private offer to receive a custom quote.
Legal
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Singdata Lakehosue Please reach out to Service@singdata.com with any questions or for options on contract or pricing terms. Singdata Lakehouse Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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AI generated from product descriptions
Unified Lakehouse Architecture
Fully managed lakehouse platform integrating data storage, analytics, and AI workflows on a single unified platform
Incremental Compute Engine
Real-time incremental compute capabilities enabling faster model iteration and scalable experimentation
Open Standards Support
Built on open-source technologies and industry-leading open formats with native support for data lake standards
Multi-Workload Integration
Seamless integration of batch, streaming, and interactive workloads eliminating traditional data silos
Unified Governance and Security
Centralized governance and security controls across all data and AI use cases with vendor-agnostic architecture
Change Data Capture and Incremental Ingestion
Continuous data ingestion from RDBMS, NoSQL, Kafka, and S3 files using industry-leading change data capture technology with support for multi-regional Kafka ingestion and multiplexed streaming.
Automated Table Services and Data Management
Automated management of file-sizing, partitioning, clustering, Z-order/Hilbert-Curves, compaction, masking, encryption, and data deduplication operations.
Data Quality Validation and Quarantine
Schema validation, timestamp validation, and automatic quarantine of data that fails quality checks.
Multi-Catalog Metadata Synchronization
Integration with AWS Glue Catalog, Hive Metastore, GCP DataProc Metastore, GCP BigQuery with BigLake, DataHub, Snowflake, and Databricks via Onetable.
Time Travel and Data Versioning
Table bookkeeping with metadata management, time travel capabilities, auto-savepoints, and recovery functionality for data versioning.
In-Engine Analytics Capabilities
Advanced in-engine analytics powered by ClearScape Analytics with high-performance compute and massive parallel processing capabilities
Open Table Format Support
Support for Apache Iceberg and Delta Lake open table formats with simultaneous connection to multiple open catalogs enabling cross-read, cross-write, and cross-query operations
Multi-Cloud Data Access
Access to data lakes across multi-cloud and multi-data-lake environments with compatibility for open file formats including Parquet and CSV
Python Integration
Integration with Python for calling analytics functions, executing Python code, and importing Python models directly into the engine with Jupyter Notebook access
Seamless Production Transition
Ability to transition and operationalize prototypes from development environment into VantageCloud production environment without data movement or infrastructure reconfiguration
Standard contract
No
Customer reviews
jerry
singdata
Reviewed on Nov 08, 2024
Review from a verified AWS customer
As a global wealth management firm, we needed a unified data platform that could seamlessly operate across regions. Singdata Lakehouse delivered exactly what we needed, enabling a smooth migration from our previous cloud platform. Its consistent interface and robust capabilities have empowered our team to expand internationally without the typical technical hurdles. We now manage our global data operations efficiently on a single platform, which has been crucial for our international growth.
Owen
engineer
Reviewed on Nov 06, 2024
Review from a verified AWS customer
Singdata Lakehouse transformed how we handle data analytics in our SaaS CRM platform. Its unified architecture combines the flexibility of data lakes with the performance of data warehouses, enabling us to deliver real-time insights to our users. The platform's speed and robust governance have significantly improved our customers' data experience.