Data Warehouse as a Service
Load and analyze fast changing data from multiple sources
No hardware, no software, no system to manage
Built for the Cloud, BitYota’s Data Warehouse as a Service solution takes the headache out of having to set up and manage another data platform. With BitYota you can get up and running in minutes. Just choose your cloud provider and desired type of machine configuration and we’ll get your Data Warehouse up and running. As your needs change, add or remove nodes from your cluster or change machine configurations. As a fully managed solution, we take care of the system itself. We monitor, manage, provision, and scale your data platform, so that you can focus on what’s important – analyzing your data.
Familiar Query Language and BI Tools
Running analytics should not require learning a new language, or developers writing custom code. Nor should it demand learning new Business Intelligence tools.
Whether you are a data scientist, engineer, business analyst or product manager, BitYota’s support for standard ANSI SQL allows you to query your data using a familiar language. Use SQL OLAP operators or script based user-defined functions (UDFs) for complex analysis including joins, aggregations, window functions, etc.
Use your favorite BI tool (such as Tableau, SQL Workbench, Looker, Power BI, etc.) to connect to the BitYota DWS using a standard ODBC/JDBC API to analyze your data and visualize the results.
Separate Storage & Compute for Price/Performance
Get fine-grained control over your desired price/performance through BitYota’s unique architecture:
- Load data into the DWS once; no need to ever reload even after you shut down and restart the cluster.
- Choose different types of storage from our cloud service providers for the ideal balance between service cost and speed.
- Add or remove compute nodes on the fly to speed up performance, without incurring any downtime.
- Shut down the cluster during off hours, to save on cost.
- Control usage and ensure consistent SLAs via BitYota resource groups in a multi-user environment.
Complete Control with Pay Per Use Pricing
Unlike other cloud-based data warehouse services with storage and compute on the same machine, BitYota’s separation of storage and compute allows you to elastically expand and contract capacity… as needed. Combined with the ability to select different types of storage resources from cloud providers, you have complete control and the ability to align your data analytics costs with changing business needs.
Accelerated Time to Analytics
Real-time data feeds for fast analytics
BitYota makes it easy to funnel data from live data sources through the Events Service in our innovative Data Orchestration layer. Data from a wide variety of mobile, tablet and desktop services, web browsers and OS platforms can be ingested into BitYota DWS in its native format. Then using a standards-based API and platform specific SDKs, you can explore new data in near real-time.
Get insights in minutes
With BitYota there is no need to create schemas or upfront data modeling. Our innovative SQL over JSON technology, allows customers to run ad-hoc queries directly on their multi source, semi structured data. Whether you know what questions you are interested in asking or not, whether your data comes from one source or many, with BitYota you can start gaining critical business impacting insights in minutes.
Analyze Multi-Structured Native Data
Architected to maintain semi-structured data in its native format during the loading process, BitYota DWS does not require a transformation that results in a loss of data fidelity. BitYota’s user interface allows you to visualize and explore the hierarchies and complex relationships in your data (e.g. nested arrays within JSON documents.)
From social media, through web, and product usage information, BitYota’s ability to analyze multi source data gives you the flexibility to expand your analytics to include the data sources you need, without the need for long development projects. Just integrate the semi-structured data from virtually any external source (SQL, NoSQL, JSON, XML, and Key Value.) Then start analyzing it.
No need for data transformation!
One of the main inhibitors for fast analytics is the need to transform the data before storing it in your analytics system. In a world where applications change constantly, data arriving from multiple sources, and in different formats, means that companies often find themselves either spending too much time on data transformation projects or face “broken” analytics systems. BitYota stores and analyzes the data in its native format thus eliminating the need for laborious, time-consuming data transformation processes. Eliminating data transformation provides our customers with fast analytics, maximum flexibility, and complete data fidelity