Onehouse

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Onehouse's Universal Data Lakehouse enables efficient data management and seamless integration across diverse platforms and technologies.

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What is Onehouse?

Onehouse introduces the innovative Universal Data Lakehouse, serving as the ultimate solution for integrated, scalable, and efficient data management. It is purposefully crafted to facilitate seamless open storage, continuous data pipelines, and automatic optimizations across diverse table formats, engines, and cloud environments. By leveraging cutting-edge technologies such as Apache Hudi, Delta Lake, and Apache Iceberg, Onehouse ensures interoperability and future-proofs data infrastructure. Businesses can unleash the full potential of their business intelligence, data science, and AI/ML capabilities through Onehouse, streamlining operations with Continuous Data Delivery and Automagic Data Infrastructure. Onehouse promotes true interoperability, independence from vendors, and efficiency gains at scale, making it a comprehensive platform for advanced data management solutions.

Who created Onehouse?

Onehouse was created by Vinoth Chandar, who is the founder and CEO of the company. Vinoth Chandar is a pioneer shaping the open data landscape. Onehouse specializes in innovative data solutions like Apache Hudi, a data lake storage platform with advanced capabilities for data lakes, such as ACID transactions, record-level updates/deletes, and streaming data ingestion. The company is known for its contributions to open-source projects like Apache XTable, which unifies data across various data lake formats.

What is Onehouse used for?

Centralize data in an open flexible and scalable platform
Streamline tedious data management tasks with automation
Harness managed ingestion and incremental streaming for up-to-date data
Ensure infrastructure flexibility and avoid vendor lock-in
Realize performance gains and cost savings
Enable seamless open storage
Optimize operations with continuous data delivery
Replace outdated batch processing methods
Manage ingestion and syncing effortlessly
Scale from analytics to AI smoothly

Who is Onehouse for?

Data Scientist
Business Analyst
Data Engineer
AI/ML Engineer
Data Architect
Business Intelligence Analyst
Cloud Data Engineer
Software developer
Database Administrator
IT Consultant

How to use Onehouse?

To begin using Onehouse, follow these comprehensive step-by-step guidelines:

Introduction to Onehouse: Onehouse is a cutting-edge Universal Data Lakehouse platform designed for seamless open storage, continuous data pipelines, and automatic optimizations across various table formats, engines, and clouds.
Key Features: Utilize industry-leading technologies such as Apache Hudi, Delta Lake, and Apache Iceberg to ensure interoperability and future-proof your data infrastructure.
Data Management: Streamline your operations by replacing outdated batch processing methods with managed ingestion and incremental streaming provided by Continuous Data Delivery.
Automagic Data Infrastructure: Experience the ease of Automagic Data Infrastructure, which automates tedious data management tasks like clustering, syncing, and scaling using proven lakehouse technologies.
Interoperability and Independence: Onehouse advocates for true interoperability and vendor independence, offering Truly Open and Interoperable data services to break free from limitations.
Efficiency and Cost-Effectiveness: Propel your organization towards efficiency by leveraging the Unlock Savings at Scale feature, which ensures significant performance gains and cost advantages as your analytics and AI needs evolve.
Getting Started: Visit the official Onehouse website at Onehouse Website to explore more about the platform and its features.

By following these steps, you can effectively harness the power of Onehouse for integrated and efficient data management in your organization.

Pros

Transform, process, and refine your data in-place with industry-first low-code incremental processing capabilities to optimize ELT/ETL costs. Validate and quarantine bad data to ensure quality.
80% compute cost reduction
2x faster ETL
$1.25 M savings/year
1 week -> 2 hours resync
100 TB/day ingestion
> 80% compute, storage cost reduction
Quickly configure managed pipelines for database CDC and streaming ingestion. Keep all your data up to date with minute-level data freshness. Scale effortlessly to PBs of data on the industry’s most scalable ingestion platform.
Take advantage of hands-off data management with automagic file sizing, partitioning, clustering, catalog syncing, indexing, caching, and more. Use XTable™ to query your analytics-ready tables as Apache Hudi, Apache Iceberg, or Delta Lake.
Built To Make Results Accessible

Cons

Onehouse lacks specific information about cons or drawbacks in the provided documents.
No specific cons or missing features were mentioned in the document for Onehouse.

Pros

Cons

Transform, process, and refine your data in-place with industry-first low-code incremental processing capabilities to optimize ELT/ETL costs. Validate and quarantine bad data to ensure quality.
80% compute cost reduction
2x faster ETL
$1.25 M savings/year
1 week -> 2 hours resync
100 TB/day ingestion
> 80% compute, storage cost reduction
Quickly configure managed pipelines for database CDC and streaming ingestion. Keep all your data up to date with minute-level data freshness. Scale effortlessly to PBs of data on the industry’s most scalable ingestion platform.
Take advantage of hands-off data management with automagic file sizing, partitioning, clustering, catalog syncing, indexing, caching, and more. Use XTable™ to query your analytics-ready tables as Apache Hudi, Apache Iceberg, or Delta Lake.
Built To Make Results Accessible

Onehouse lacks specific information about cons or drawbacks in the provided documents.
No specific cons or missing features were mentioned in the document for Onehouse.

Onehouse FAQs

What is Onehouse?: Onehouse is a fully managed cloud data lakehouse designed to ingest data from all sources and support various query engines at scale, while offering cost savings compared to traditional solutions.

What are the benefits of using Onehouse?: Onehouse allows for quick data ingestion, scaling effortlessly to PBs of data, hands-off data management, incremental data processing, compatibility with multiple query engines, and strong data security measures.

What is XTable™?: XTable™ is a feature that allows users to query analytics-ready tables in Apache Hudi, Apache Iceberg, or Delta Lake formats.

How does Onehouse ensure data security?: Onehouse architecture keeps data within the user's account, is SOC2 Type 2 and PCI DSS compliant, integrates with SSO, provides access controls, and employs standard encryption and IAM permissions.

What have industry leaders achieved using Onehouse?: Industry leaders have reported significant cost reductions, faster ETL processes, substantial savings through data ingestion optimizations, and improved data processing efficiency.

What technologies does Onehouse leverage?: Onehouse is powered by Apache Hudi and amplified by XTable, enabling interoperability with various catalogs and query engines.