Composable
In-Place Search
A New Search Paradigm
Composable In-place Search
“In-place search -> Collect -> Store” Edge, data in motion, in an observability datalake, Timeseries and Log Stores
Faster time to insights and actions
The right data is discovered, searched, visualized, and then either presented as Composable decision boards or alert notifications.
Reduce complexity and cost
Associated with collecting, moving, indexing, storing, and then searching the data, increasing the TCO.
Remove data silos
Low Code / No Code bots invoke a universal query language that can “In-place search” at the edge, across an observability data lake, any time-series database, or custom search tools like Splunk, Elastic
Ease of use
Low Code / No Code bots make it easy for any Citizen developer to use search.
Search Bots
RDA Bots Automate Data Ingestion, Data Processing and Data Routing
Source Bots
Source Bots Retrieve data from a Data. Source either in Streaming or Batch Mode
- Filter Data
- Select Subset of Columns
- Compute New Columns
- Fix Input Data
- Aggregate Input Data
Sink Bots
Sink Bots Send data to data destination such as Data lake or other Endpoints
- Enrich Input Data Using a Dictionary
- Convert Input Data Types
- Validate Input Data Model
- Random Sampling of Data
Transform Bots
Update Bots transform or update the input data and produce new data
- Perform NLP Sentiment Analysis
- Perform Unsupervised Clustering
- Classify Input Data
- Predict Time Series Data
- Classify using GPT-3