🛠️How it works?
"Magical outcomes require team work, and can only be measured by the awe of its spectators."
Background
Cloud platforms (such as Amazon AWS and Microsoft Azure) have been providing cost efficient infrastructure to store and process data. Engineering software (such as Snowflake and Databricks) provide the next layer of engineering solutions to process data queries and computations more efficiently.
What had been missing was the seamless business interaction layer, where these technologies can be easily brought together for business teams to analyze data flexibly through their preferred methods such as - natural language queries, interactive reports, time sensitive alerts and high performance dashboards.
Historically, the analytics tools were built to only solve for one end-user need among many - data preparation, data catalog, visualization and AI/ML. However, multiple disconnected software increase maintenance headaches and introduce friction in achieving a seamless experience for your users.
Hence, we thought about the solution from scratch:
Single source of data across data lakes, data warehouses, on-premises systems, and cloud data shares.
Provide all information with business context (semantics) - standard terms, definitions, data profiles and health checks
Flexibility to use GenAI for natural language queries
High performance dashboards against millions of rows
Eliminate data-sync issues between data source and analytics
Provide a metrics store, that refreshes itself for latest insights
Integrated data science workbench for AI/ML insights
Provide trackers to send alerts on critical business indicators
Ensure multi-layered security and data controls
Most important among all - make the platform completely configurable and self-service to drive the outcomes 10x faster.
Collectively, these principles define the next generation of data analytics solutions, hence Clarista has been built on these next generation principles.
Clarista Platform - Semantic Data Fabric
Clarista achieves this ambitious set of capabilities through a unique architecture - 'Semantic Data Fabric', that combined three modern technologies - Distributed Computing, Semantics Engine and Data Fabric. Let's understand the benefits of each and how Clarista utilizes these technologies:
Distributed Computing: Cloud platforms were created to achieve higher performance at lower cost. This is achieved through a key technology called Distributed Computing. Distributed Computing uses multiple low cost machines to distribute data workloads, instead of using a single expensive and powerful machine. This provides lower cost for simpler data processes and higher cost for more complex ones. Best part is that businesses don't have to decide which data workload to send to which machine. All of that is handled automatically through a process called auto-scaling. Next time you hear about a cloud technology improving the performance of your complex data queries or quantitive models, think Distributed Computing.
Clarista uses distributed computing to auto-scale data queries and complex calculations, providing superior performance for data teams and business users.
Semantics Engine: Data stored in business systems such as CRM, ERP, HR, Finance etc., can be in different formats, designed to make it easier for coding and engineering. Business users cannot access or understand such technical data on their own. Hence, business and data analysts are hired to translate the business data needs into technical specifications, which are then given to data engineers to produce the required information. Semantics Engines provide a translation layer, converting technical data into business terminology, that can be easily understood by non-technical users. In addition, Semantics Engine also serves as a Control layer, providing access role based access controls, to protect sensitive and confidential information stored in business systems.
Clarista has a built in Semantics Engine, that enables Data Teams to publish data from any technical system and link the results with a Data Dictionary, so that data within Clarista is always available with business terms and definitions.
Data Fabric: Data Fabric was introduced few years back as a framework, that can enable data teams to use modular capabilities such as data transformation, data science models and visualization, on platform independent data. Until recently, Data Fabric offerings have been tied to specific cloud platforms such as Microsoft and IBM, that do not deliver on the promise of complete platform independence.
Clarista is one of the first software solutions, that delivers the promise of Data Fabric by cross-platform data sourcing, multi-cloud compatibility, and plug-n-play tools for data quality, data catalog, data transformation, AI/ML models, visualization and GenAI Language Queries.
By integrating these modern technologies, Clarista eliminates the need for multiple costly software to manage and analyze data. It also eliminates the need for centralizing data within one platform (Data Lake or Data Warehouse), before it can be analyzed. Through this unique and patented architecture, Clarista cuts down up upfront time and investment in data platforms by 75% and accelerates time to value by 400%.
This high level architecture diagram shows the use of Semantic Data Fabric in delivering the flexibility and agility needed to manage and analyze complex data. 👇
Time to Value
Getting up and running with Clarista takes hours not months. With Clarista's GenAI powered natural language queries, Business Users can get real-time answers to their business questions, irrespective of where the data sits.
Key Differentiators
Semantic Data Fabric - The combination of the three key technologies highlighted above make Clarista unique in comparison to all other data software. The Semantics Data Fabric brings the power real-time data analysis from any data source, made available with business context, which in turn powers Clarista's GenAI natural language queries.
High Performance - The use of Distributed Computing easily scales to handle high data volumes, complex data queries and proprietary AI models.
Cloud and Data Platforms Independence - Clarista can run on any cloud platform and comes with native connectivity for most data platforms such as Snowflake, Databricks, SQL Server, Azure ADLS, Amazon Redshift, Amazon S3, Oracle, Postgres, MongoDB to name a few. Clarista can also support file uploads and APIs, if the data is not available in a data system.
No Data Copies - Clarista doesn't require the data to be copied or cached for superior performance. Everything in Clarista runs on-demand.
Active Data Catalog - Data Catalogs that only provide meta-data (Passive) have limited use. Instead, Clarista extends the benefits of its business meta-data, by provisioning all data with business definitions, profile and health metrics.
Integrated Data Science Workbench - Clarista provides Data Scientists and integrated model development and execution environment through JupyterHub. It can also be integrated with Databricks.
Multi Layered Security - From Single Sign On (SSO) authentication to role-based masking of sensitive/PII data, Clarista provides all the controls Enterprises need to ensure compliant use of data.
Built-in Data Quality Engine - No data solution is complete without the ability to perform health checks on data. Clarista's data quality engine can apply basic as well as advanced AI/ML checks to ensure trust in data.
Clarista Modules
Clarista is designed to provide maximum flexibility to clients to start with what they need today and expand as their needs grow. Clarista empowers data teams and business users equally through three key modules.
Navigator: Enable Data Analysts to publish data from any data platform - cloud, cloud shares or on-premises, with business definitions and health checks.
Clarista Pulse: Empowers Business Users to analyze real-time data from any system through GenAI natural language queries, one-click trackers, interactive dashboards and on-line reports.
Clarista Lab: Enables Data Engineers and Scientists to transform raw data to meet the business needs and to apply AI/ML models and calculations to produce advanced insights.
To learn more about Clarista's modules, check out the links below👇
🔍Clarista Navigator🎯Clarista Pulse🛠️Clarista LabLast updated