Sold by: SingdataÂ
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
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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Features and programs
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 | Covers all virtual clusters and ingestion jobs. $1.24 per CRU hour | $1.00 |
Storage | Temporarily free during the introductory period. $0.025/GiB/month thereafter | $1.00 |
Data 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
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Data Platform Architecture
Unified lakehouse architecture supporting storage, analytics, and AI workloads with native integration of batch, streaming, and interactive processing
Compute Engine
Incremental compute engine enabling real-time data processing and accelerated machine learning capabilities
Open Standards Compatibility
Built on open-source technologies and industry-standard data lake formats ensuring maximum interoperability and avoiding vendor lock-in
Cloud Infrastructure Integration
Native integration with Amazon S3 for scalable and flexible cloud-based data storage and processing
Governance Framework
Unified security and governance controls supporting comprehensive data management across diverse data and AI use cases
Data Ingestion
Supports incremental data ingestion from multiple sources including RDBMS, NoSQL, Kafka, and S3 files with multi-regional and multiplexed streaming capabilities
ETL Transformation
Provides low/no-code incremental ETL pipelines with support for custom code transformations and data deduplication
Metadata Management
Offers comprehensive catalog syncing with multiple metadata stores including AWS Glue, Hive Metastore, GCP DataProc, BigQuery, DataHub, Snowflake, and Databricks
Data Quality Control
Implements schema validation, timestamp validation, and automatic quarantine mechanisms for bad data
Table Services
Supports advanced table management features including time travel, data versioning, auto-savepoints, and recovery mechanisms
Data Lake Compatibility
Supports Apache Iceberg and Delta Lake open table formats with simultaneous connection to multiple open catalogs
Compute Processing
Utilizes high-performance massive parallel processing capabilities for analytics and data exploration
Programming Language Integration
Direct integration with Python for calling analytics functions, executing code, and importing Python models
Open File Format Support
Compatibility with open file formats including Parquet and CSV, with access from Jupyter Notebook
Multi-Cloud Data Access
Enables cross-read, cross-write, and cross-query of data stored in multi-cloud and multi-data-lake environments
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.