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 data access and empowers you to make decisions on 100% of your data.
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—
Distributed Bitmap Index
Virtual Data Sources (VDSs)
Data Format (Pilosa Enterprise)
Control Interface (gRPC)
VDS Manager (VDSM)
Interface (https, gRPC, CLI)
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.
Ingest data from a Kafka topic into Molecula
Ingest data via Kafka Connect into Molecula
Ingest data from MySQL database into Molecula
Ingest data from SQL Server database into Molecula
Ingest data from Snowflake data warehouse into Molecula
Ingest data from Cassandra database into Molecula
Ingest data from Teradata data warehouse into Molecula
Ingest Spark data streams into Molecula
Ingest Parquet files into Molecula
Ingest files from your S3 instances into Molecula
Ingest data from your Big Query data warehouse into Molecula
Use Monitoring Plugins to connect Molecula to your logging or monitoring platform of choice.
Monitor your VDSs with Prometheus
Monitor your VDSs with Splunk
Monitor your VDSs with Jaeger
Collect metrics about your VDSs with StatsD
Monitor your VDSs with OpenTracing
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.
Query your Molecula data using Tableau
Microsoft Power BI
Visualize your data with Microsoft Power BI
Query your Molecula data from your Jupyter Notebook
Create Pandas data frames from Molecula VDSs
Query your Molecula data using Snowflake
Query your Molecula data using RStudio
Query your Molecula data using RAPIDS
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.
will be able to simplify data availability with no compromise via:
- 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:
- 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
can control data access, compliance risks, and costs through:
- 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—
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.
The ability to performantly JOIN at query-time across disparate VDSs.
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.
Control access to cell-level data, audits usage, track lineage, anonymize data and manage infrastructure resources with unrivaled precision.
The value-first data representation used by Molecula enables some interesting benefits in terms of schema, including multi-valued and time quantums.
Crunch 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.