Built to conquer the most challenging data problems—

Other data access approaches fall short on performance, can’t scale, drive up costs, and are not ML-friendly. But Molecula accelerates and unifies data access, empowering you to make decisions on 100% of your data.

Are You Ready for Machine-Scale Analytics?—

Human-scale
Data Value

$24B

Machine-scale
Data Value

$480B

Why Molecula’s Feature Store is the Future of Data Access—

Enterprises spend a lot of money preparing, aggregating and making numerous copies of their data to get it ready for analytics, machine learning and AI. The effort required to enable these projects far exceeds the value created. Molecula brings an entirely new paradigm for continuous, real-time data analysis and AI through its centralized feature store that eliminates the need to copy, move or pre aggregate data, maintains up-to-the-second updates, millisecond analytics performance, and provides a secure data format for data sharing.

Molecula Enterprise Feature Store—

Molecula provides centralized access to all your big data by reducing the dimensionality of the original source data , into a highly-optimized format that is natively predisposed for real-time machine-scale analytics and AI.

Feature Store

Molecula’s feature store is an overlay to conventional big data systems that centralizes an organization's most important entities and their attributes across various source systems, while maintaining up-to-the-second updates.

Extension Framework (SDK/API)

The extension framework provides an interface for external tools, libraries, models, and arbitrary code to be developed and applied to Molecula to extend functionality.

Control Plane

The control plane allows users to operate Molecula in hybrid environments to take advantage of both their on-premises, cloud, and edge infrastructures according to their workloads and needs.

Data Taps

Data Taps are used to ‘tap’ or ingest from source systems to continuously extract and update features and route them into Molecula. Easily query, select and extract features from Molecula and power your applications, preferred data science tools and machine learning pipelines.

EXTENSION FRAMEWORK DATA TAPS FEATURE STORE CONTROL PLANE
FEATURE STORE
EXTENSION FRAMEWORK
CONTROL PLANE
DATA TAPS

Feature Store

Molecula’s feature store is an overlay to conventional big data systems that centralizes an organization's most important entities and their attributes across various source systems, while maintaining up-to-the-second updates.

Extension Framework (SDK/API)

The extension framework provides an interface for external tools, libraries, models, and arbitrary code to be developed and applied to Molecula to extend functionality.

Control Plane

The control plane allows users to operate Molecula in hybrid environments to take advantage of both their on-premises, cloud, and edge infrastructures according to their workloads and needs.

Data Taps

Data Taps are used to ‘tap’ or ingest from source systems to continuously extract and update features and route them into Molecula. Easily query, select and extract features from Molecula and power your applications, preferred data science tools and machine learning pipelines.

Data Taps Available Today—

In addition to a REST API, client libraries, and SQL support, Molecula has an extension framework to support plugins for most upstream and downstream systems, including ingest, data consumption, and security.

These taps are designed to connect to data sources ranging from databases (sql or nosql), to data pipelines and file systems in order to ingest data into Molecula.

Kafka

Ingest data from a Kafka topic into Molecula

Kafka Connect

Ingest data via Kafka Connect into Molecula

MySQL

Ingest data from MySQL database into Molecula

SQL

Ingest data from SQL Server database into Molecula

Snowflake

Ingest data from Snowflake data warehouse into Molecula

Cassandra

Ingest data from Cassandra database into Molecula

Teradata

Ingest data from Teradata data warehouse into Molecula

Spark

Ingest Spark data streams into Molecula

Parquet

Ingest Parquet files into Molecula

S3

Ingest files from your S3 instances into Molecula

Big Query

Ingest data from your Big Query data warehouse into Molecula

Use Monitoring Taps to connect Molecula to your logging or monitoring platform of choice.

Prometheus

Monitor your VDSs with Prometheus

Splunk

Monitor your VDSs with Splunk

Jaeger

Monitor your VDSs with Jaeger

StatsD

Collect metrics about your VDSs with StatsD

OpenTracing

Monitor your VDSs with OpenTracing

Datadog

Monitor your VDSs with Datadog

Consumption taps extend our API and Client Libraries to connect to systems that will use data in Molecula to visualize data, analyze it and ask questions of your data.

Tableau

Query your Molecula data using Tableau

Microsoft Power BI

Visualize your data with Microsoft Power BI

Jupyter Notebook

Query your Molecula data from your Jupyter Notebook

Pandas

Create Pandas data frames from Molecula VDSs

Snowflake

Query your Molecula data using Snowflake

RStudio

Query your Molecula data using RStudio

RAPIDS

Query your Molecula data using RAPIDS

JDBC Driver

Query your Molecula data with JDBC Driver

Molecula in action—

Molecula is an enterprise feature store that simplifies, accelerates, and controls big data access to power machine-scale analytics and AI. Continuously extracting features, reducing the dimensionality of data at the source and routing real-time feature changes into a central store enables millisecond queries, computation and feature re-use across formats and locations without copying or moving raw data.

Millisecond Analytics
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JOINs With No Pre Aggregation
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Data in real time delivers real advantages—

With Molecula, your entire team will see significant, job-changing enhancements to the way they’re able to perform their jobs.

Data Engineers

Simplify analytics, AI and machine learning infrastructure with one centralized feature store for all projects.

Advantages—

  • 100% data access via centralized features up to PB scale
  • Most performant, secure unified access
  • Any data format, location and no pre-aggregation
  • No data copies or movement

Data Scientists and Application Developers

Accelerate time from data to business outcome by enabling real-time, predictive and personalized use cases.

Advantages—

  • Instant, continuous, deeper insights across any data sets
  • Millisecond performance
  • Eliminate the need to pre-join siloed datasets
  • Lower time to value with fast queries and no data delivery cycles

IT and Security Team

Control data access, compliance risk and costs with a more secure data format for sharing and reduced data footprint.

Advantages—

  • Securely share features without copying data
  • Meet compliance and governance requirements
  • Reduce infrastructure costs by orders of magnitude

Product Capabilities—

Extracts Feature from Data

‘AI Ready’ feature store that continuously extracts and updates features in real-time

Offers Single Point of Access

Centralized, ultra low latency access to all of your data

Supports ML Workloads

High concurrency queries for machine-scale analytics and ML

Eliminates Pre-Processing

Performant Joins at query time, with no pre-aggregation or pre-processing

Reduces Footprint

Lossless reduction in data footprint, up to 85%, without copying or moving data

Easily-Adoptable Overlay Implementation

Extension framework enabling seamless integration into existing environments

Enables Time-Oriented Filtering

Track and filter time at a feature level

Delivers Secure, Cell-Level Control

Granular access control of feature sharing down to the cell level

Related Resources—

Molecula’s novel approach to data access breaks through the latency floor created by the zoo of legacy data processing technologies, eliminating the need to pre-aggregate, federate, copy, cache or move source data.

View Resource

Molecula is a Cloud Data Access Platform that simplifies, accelerates, and controls data access for advanced analytics, Machine Learning, and edge/IoT.

View Resource

In this paper we introduce a novel approach to data virtualization which is making strides to clear the log jam that has increasingly plagued data beneficiaries for years.

View Resource

Calculate Your TCO with Molecula

Molecula's novel approach to data access is game changing for your machine-scale analytics and AI. By simplifying real-time analytics and AI infrastructure Molecula can reduce footprint by 60-90% and save you time, resources, and headaches. Come see for yourself.