Data Market—
Human-scale
Data Value
$24B
Machine-scale
Data Value
$480B
From data to decision in the blink of a byte—
How Molecula Works
Molecula provides real-time, virtualized access to all data in-memory via an abstraction layer above the physical implementation of data. Here’s a closer look at the virtualization process. Roll over a component in the below diagram to learn more about it.
The Molecula Platform Key Components—
Pilosa
Distributed Bitmap Index
Virtual Data Sources (VDSs)
Pilosa Enterprise (Data Format)
Schema Management
Translation Keys
Access Control
Data Lineage
Model Execution
VDS Manager (VDSM)
VDS Registry
Query Manager
Resource Manager
Access Manager
Plugin Manager
Interface (https, gRPC, CLI)
Plugin Ecosystem
Ingest
Monitoring
Consumption
Plugins 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 plugins 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 Plugins 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 plugins 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’s Cloud Data Access Platform simplifies, accelerates, and controls big data infrastructure by leveraging highly-performant data representations, eliminating the need to pre-aggregate, federate, copy, cache, or move source data.
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.
IT/Data Engineers
will be able to simplify data availability with no compromise via:
Advantages—
- 100% data access up to PB scale
- Most performant, secure unified access
- Unlimited joins/any format, no pre-aggregation
- No data copies or movement
Business Users/Data Scientists
can accelerate time from data to decisions thanks to:
Advantages—
- Instant, continuous, deeper insights across any data set
- Choice of any data science/BI tool
- 1000x faster BI/ML
- Lower time to value with fast queries and no data delivery cycles
CISOs/CIOs/CDOs
can control data access, compliance risks, and costs through:
Advantages—
- Secure sharing across ecosystem and edge to core
- Meet compliance requirements
- Reduce data sprawl
- Reduce data infrastructure footprint or cloud costs 10-100x
Molecula’s Technology Superpowers—
Key Differentiators:
Breaking the Latency Floor
By deconstructing by entities, fields, values, and relationships and standardizing it as a core data format, we enable a cascading set of benefits that includes Analytics at UI speed supporting highly concurrent access.
JOINS
The ability to performantly JOIN at query-time across disparate VDSs.
Copy-free Portability
When spawning our highly-performant data representations, only translation keys and updates to relationships are moved across the network, yielding up to 100X reduction in hardware footprint and data movement.
High Concurrency Analytics
Because of the extreme performance achieved querying a VDS, clients can now offer "UI latency" analytics to large user bases.
Effortless Control
Control access to cell-level data, audits usage, track lineage, anonymize data and manage infrastructure resources with unrivaled precision.
Schema Simplification
The value-first data representation used by Molecula enables some interesting benefits in terms of schema, including multi-valued and time quantums.
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 ResourceMolecula is a Cloud Data Access Platform that simplifies, accelerates, and controls data access for advanced analytics, Machine Learning, and edge/IoT.
View ResourceIn 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 ResourceCrunch for yourself—
Take a 10-minute demo and learn how the Molecula Cloud Data Access Platform simplifies, accelerates, and controls data access; reducing hardware footprint, cost, and risk.