Sold by: Onehouse
Onehouse Managed Lakehouse is a cloud-native SaaS product that replaces painful, inefficient DIY data lake management around file sizing, masking, deletion, clustering, access control, caching, etc. with foundational data infrastructure as a service, to ingest, store, optimize and transform your data on industry-leading open data formats. For more information, please visit www.onehouse.ai.
4
Overview
Onehouse Managed Lakehouse solution is designed to help customers build and implement a modern data lakehouse in a fast and cost effective way. It turns data lakes into fully managed lakehouses by bringing data warehouse functionality to the data lake as well as automating data management services like ingestion, performance optimization, indexing, observability or data quality management. Apache Hudi is the ground-breaking open-source Lakehouse technology that powers Onehouse.
Onehouse is a truly open solution that allows customers to access data from any query engine such as Presto, Amazon Athena/Redshift, GCP BigQuery, Snowflake or Spark. It can help organizations build data lakes in days, not months, realize large cost savings but still own their data in open formats.
Onehouse Product Features
-
Managed Ingestion 1.1) Incremental Ingestion from popular RDBMS, NoSQL, Kafka, S3 files 1.2) Autocapture data streams using regex patterns 1.3) Multi-regional Kafka ingestion to merge data that is geo-replicated 1.4) Advanced Multiplexed streaming ingestion
-
ETL Transformations 2.1) Low/No-code incremental ETL pipelines 2.2) Ability to plug in custom code transformations 2.3) Data deduplication
-
Data Quality Quarantine 3.1) Schema validation 3.2) Timestamp validation 3.3) Quarantine bad data
-
Catalog Syncing 4.1) AWS Glue Catalog 4.2) Hive Metastore 4.3) GCP DataProc Metastore 4.4) GCP BigQuery + BigLake 4.5) DataHub 4.6) Snowflake and Databricks via Onetable
-
Table Services 5.1) Table bookkeeping and metadata management 5.2) Time travel and data versioning 5.3) Auto-Savepoints and recovery
-
Management Plane 6.1) Automated Monitoring/Alerting 6.2) Metrics 6.3) Access control & permissions
We offer one month free trial to approved customers. Reach out to gtm@onehouse.ai if you are interested.
For custom pricing, EULA, or a private contract, please contact gtm@onehouse.ai , for a private offer.
Highlights
- Continuous Data Ingestion - Effortlessly ingest data from your databases, event streams, cloud storage and other services at low latency. Built on industry leading change data capture technology for the lakehouse.
- Automated Data Management - Onehouse eliminates tedious data chores by managing all of your table services that perform file-sizing, partitioning, cleaning, clustering, Z-order/Hilbert-Curves, compaction, masking, encryption, and more.
- Low-Code Incremental Pipelines - Create declarative templates for low-latency incremental ingestion and transformation pipelines. Forget about operational burdens of scheduling, monitoring, and data quality management.
Details
Sold by
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
Managed Lakehouse | Onehouse Managed Lakehouse solution. Contact gtm@onehouse.ai. | $0.00 |
Dimension | Cost/unit |
|---|---|
Onehouse Consumption Unit | $0.01 |
Vendor refund policy
We offer refunds on a case-by-case basis. Please contact us at support@onehouse.ai if you believe you should be eligible.
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) .
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
Onehouse offers multiple tiers of support. Please contact gtm@onehouse.ai about detailed pricing for each tier. support@onehouse.ai
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.
Updated weekly
AI generated from product descriptions
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.
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
SQL-Based Pipeline Development
Cloud-native platform enabling pipeline development, testing, and deployment using SQL without requiring complex code, with automated orchestration and scheduling.
Streaming and Batch Data Ingestion
Continuous ingestion and replication of data from multiple sources including PostgreSQL, SQLServer, Kinesis, and file systems to Iceberg lakehouse and data warehouse systems.
Iceberg Live Tables with Automated Optimization
Managed transformation layer that automates task orchestration, compute scaling, data quality validation, schema evolution, and file system optimization for Iceberg tables.
Adaptive Iceberg Optimizer
Optimization engine that profiles data files and write patterns to automatically determine optimization techniques, file selection, and frequency to improve query performance and reduce storage costs.
Data Observability and Monitoring
Built-in monitoring and observability capabilities for detecting operational and data-related issues including volume changes, data value drift, and schema evolution with alerting functionality.
Standard contract
No
Customer reviews
Ali M.
Personal information is properly encrypted
Reviewed on Oct 19, 2024
Review provided by G2
What do you like best about the product?
Onehouse has been helpful for us managing data lake on cloud, for our case it has been a great tool. It has the advantage of simplifying storage, sorting, and searching data that the professionals involved in data analysis require in their work.
What do you dislike about the product?
Onehouse however does not offer easily retrievable information on such integration. Much time and effort is spent trying to locate information regarding supported tools or functionalities, mostly from web searches, or calls to the IT helpdesk.
What problems is the product solving and how is that benefiting you?
Onehouse simplifies managing data lakes in the cloud environment to a single house. It also proved useful in creating a unified place for data storage and retrieval and how this information can be effectively parsed through our workforce.
Mahesh B.
Onehouse - A secured data lake to use in cloud
Reviewed on Jul 23, 2024
Review provided by G2
What do you like best about the product?
It has a user friendly interface
It helps in data management , analytics and reporting
We can integrate this with various tools
It solves the scalability issues and also it is cost effective.
It helps in data management , analytics and reporting
We can integrate this with various tools
It solves the scalability issues and also it is cost effective.
What do you dislike about the product?
The setup process is complex and time consuming
There is a support delay
We have to pay more for advanced features
There is a support delay
We have to pay more for advanced features
What problems is the product solving and how is that benefiting you?
The data is centralized. Means we can have all the teams or departments or applications data in one platform
Reporting and analysis is another big problem solved by onehouse
Reporting and analysis is another big problem solved by onehouse
Market Research
Exploring the Enigmatic: A Deep Dive into Onehouse
Reviewed on May 29, 2024
Review provided by G2
What do you like best about the product?
Ease of Implementation,Ease of Use,Number of Features
What do you dislike about the product?
Their is nothing to dislike. everything is good.
What problems is the product solving and how is that benefiting you?
It helps to provide insight from tha large data base in a minut also support all query engines and prvoide real time analytics.