Instant insights.
Petabyte scale.
In today’s data-centric world, it is crucial for businesses to be dynamic and adapt to ever-shifting landscapes.
Ergo, gleaning insights at the speed at which information is changing is crucial.
The current bottleneck
Today big data analysis requires the help of an overworked data team with limited resources, resulting in an inordinate delay.
Predicament 1
Step 1. You request for an analysis to the data team.
Step 2. The data team has limited resources.
Step. 3. Request is dropped due to prioritization.
Step. 4. You have no report and no insights.
Predicament 2
Step. 1. The data team agrees to queue your request.
Step. 2. The delivery date is open-ended.
Step 3. Delivery can be from a few-weeks to a few-months.
Step. 4. The delay translates to decision making sans insights.
The vast majority of data requests falls in one of the above predicaments.
Decision making without data-driven insights is akin to shooting in the dark.
Conclusion:
In light of this obsolescence of the current technology to understand data at scale, it is imperative that a user-centric approach has to be the bedrock for any big data analysis.
A new direction
Embracing the above premise, we address the challenge of navigating a nebulous market with a powerful SaaS product that empowers users with the following:
Genuine self-service
Gleaning insights independently, at speed-of-thought.
Petabyte-scale interactivity
Data-centric decision-making and analysis at scale.
Lowest TCO
Budget competitive, including open source platform adopters.
A note on
The process of data driven decision making is termed as ‘Intelligent decision making’, where user and cloud work synergistically, to significantly enhance decision making. This is done by:
Intelligent Decision Making
1. Posing an initial query
2. Perusing the answer to see if the information can support making the decision
3. If not, modify or repose a query until enough information is found to make an informed decision
An example of intelligent decision making would be the following:
A businessman visiting Delhi had to delay his stay by few days. Using conversational search (ChatGPT, Gemini etc.), he was looking to see how to spend the extra time. Suggestions were plentiful and after few refined subsequent questions, he narrowed his search to Mughal related sites.
Besides giving the user options within Delhi, conversational search also suggested a trip to Agra (1 hour flight) to see the Taj Mahal, which he had never imagined. Through conversational search, the decision to see Taj Mahal was chosen as the optimal choice.
Intelligent Decision making was proposed decades ago as ‘Intelligence Amplification’ by D. Engelbart, W.Ashby, and others.
The ability for the user to ask questions, review the response and follow up immediately with more refined questions is crucial to intelligent decision making.
Lacking interactivity such as the result of having to rely on a data team, negate this core principle. Even conversational search that uses LLMs are rendered useless without the immediacy factor.
Morphient’s lynchpin is in providing immediate user-cloud interaction on unlimited user data, preserving the core principles of intelligent decision making.
The Morphient SaaS Offering
Intelligent decision making the right way
To counter the current bottlenecks in gleaning insights from big data, and ultimately present insights from data to the user, we built the system on several pillars of strengths for Morphient SaaS Application.
The user-cloud synergistic dialog can only be successful by leveraging the following technological capabilities:
Story-as-a-document
Visualized view of data + Interactively editable
The visualized data is edited like a document, where a sequence of edits show changes immediately. This interactively-editable, visualized-view of data is called Story-as-a-document. Story refers to all possible analysis that an be done using that view.
Conversation style used by ChatGPT etc. allow the users to successively refine the questions easily. Similarly, story-as-a-documnet enable users to refine queries/visualizations easily.
Interactivity: This interactive view allows the user to browse the data from any angle & analyze — as well as editing the query or visualization to get a refined query.
Modification: Leveraging prior user awareness of common functions like ‘edit’, ‘undo/redo’, ‘copy/move’, ‘delete/change’, and ‘filter’ etc. — allow quick user onboarding and adoption.
This model enables the business user to query & analyze and then modify their queries or visualization by themselves. This provides the immediacy factor crucial to intelligent decision making.
Interactive analysis
Unlimited data. In the browser.
The story-as-a-document model serves as a vehicle for users to be able to interact with unlimited data by leveraging the in-browser query engine.
JITQBE: In order to query unlimited data, we use a proprietary data structure called JITQBE. This is a curated subset of data, optimized for that specific story based on user interactions. JITQBE stands for Just-In-Time QBE (pronounced as cube) behaves like a data-cube but without the exponential size problem.
Engine: Query engine leverages the proprietary JITQBE, in the browser memory, to deliver an interactive analysis experience. This JITQBE assures an interactive experience without time consuming round trips to the cloud at every step.
Re-computation of JITQBE: When the user changes a story fundamentally, it automatically triggers re-computation of the JITQBE in the cloud. Thus, a new JITQBE for the modified story is delivered in matter of minutes.
This level of interactivity, assured by the optimized JITQBE, enables users to analyze at speed-of-thought.
Genuine self-service
User interacting with data directly.
The elimination of intermediaries to operate the system, allows Morphient SaaS to be leveraged by users directly, without the delay due to the external team.
Analytics: The user can interactively slice & dice the data themselves, and see the data visualized.
Automatic optimizations: Just-in-time re-computation of JITQBE eliminates the db-expert to optimize the execution, as the data scales.
No maintenance: All cloud operations run on lambda for user-specified goals with zero compute instances provisioned. Consequently, lambdas are the only resources managed and monitored in the cloud by Morphient. Therefore, business users have no responsibility for cloud operations
Any reliance on an external team to curate the data defeats the intent of self service. We refer to our offering as ‘genuine self service’ to emphasize a true no-intermediary environment.
Massively parallel execution
Unlimited compute power, just when you need it.
Processing unlimited data, requires unlimited compute power. More importantly, when the user is waiting for a reply, massively parallel computing results in a high degree of responsiveness.
Interactive experience: Assuring interactive experience being a lynchpin goal for intelligent decision making, we have leveraged massively parallel execution to achieve this goal. This includes instances like re-computation of JITQBE.
Cost effective computation: Massive compute power needs to be leveraged judiciously, in order to assure our lowest TCO goal. Some techniques leveraged include computing JITQBEs from other JITQBEs whenever possible and Just-In-Time provisioned lambda services for all computations.
All our computing in the cloud are achieved using unlimited parallel lambda execution. These lambdas are procured (and dismissed) just in time, which avoids the idling of expensive computing resources, to achieve our lowest TCO objective.
Step into a new world
Welcome to the future of unlimited data comprehension.
By empowering everyday users with the ability to interact, analyze, query and ultimately understand their own data, Morphient’s intent is to play a pivotal role in intelligence enhancement.
We invite those with the foresight, to understand the significance of this giant step forward, to join us on a journey of enlightenment, advancement and delight.
Customer Success
Along with our revolutionary technology, we offer:
Adoption scaling
Over 150 users self-opted to on-board themselves, akin to using a smartphone app, to leverage the power of Morphient. No manuals, no training, just plain sailing.
Data scaling
Petabytes of data being analyzed simultaneously by a team of 150+ users. No lag, no delays and no stress.
Server scaling
Many tens of thousands of lambdas executing on data in many thousands of buckets (for IOPS required by all the lambdas) with no scaling limits in sight. Unlimited scalability unlocked!
Morphient has been delivering massive impact and driving game-changing results for 4 years and counting. We are committed to eliminating the gap between people and insights from data.
Free trial
Unlock insights from your data
Nothing compares to a test drive. Here are just 4 easy steps to interact with your data:
Contact
Send us an email or use the form below to set up a video call.
jitqbe@morphient.com
Data
Export your data in CSV or parquet format
Setup
Morphient will load your data and set up the SaaS in your own AWS.
This typically takes 2 or 3 days.
Test drive
Experience the power of Morphient yourself