Ensign for Data Teams

Streaming Predictions for Realtime Models

Think Outside the Batch

Batches are great, but the world is moving towards bigger training datasets and faster analytics that need event streams. Even though Kafka is really powerful, most of us still dont’ feel like eventing is for us. ๐Ÿ˜•

Until now! ๐Ÿช„ Let us show you the magic of integrating your data science foo with real-time streams. Ensign simplifies streaming ETLs, helps with data sharing, captures chronological changes to all data objects so you get change vectors in addition to static snapshots. From delivering rapid analytics to building and deploying real-time models, Ensign makes it fast, easy, and fun.

The Ensign Difference

How does Ensign stack up to other, similar tools and products?

Eventing ToolsDatabases
FeatureEnsignKafka
(Confluent)
PubSub
(Google)
SQS
(Amazon)
RedpandaAurora
(Amazon)
Spanner
(Google)
Cockroach
Change Data Capture & Persistence
By default, replay all events from Day 1.
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Global Consistency
All users can count on the same order of operations, regardless of where they live.
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Beginner-Friendly
Quickstarts, SDKs, and templates.
โœ”โœ”โœ”โœ”
Neckbeard-Friendly
Fine controls, transparency, and granularity.
โœ”โœ”โœ”โœ”โœ”โœ”
Low-Ops/No-Ops
Use it without a dedicated team to maintain.
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Maximum Throughput & Latency
Super-duper fast!
โœ”โœ”
End-to-end Encryption by Default
Only you can read your events.
โœ”
Data Collaboration
Tools for teams working together.
โœ”
Distributed Transactions
Relational database transactions that span the globe.
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Built for the Modern Data Team

Whether you wear one hat or all the hats, the right tool can make a world of difference.

Developers

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Quickly build event-driven APIs to leverage the publish-subscribe model for scalable and reliable microservices.

Data Scientists

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Self-serve data and move from batch processing to real-time machine learning. Bonus: skip over all those MLOps headaches.

DBAs/Data Engineers

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Let downstream consumers define their own data schemas rather than struggling to find a schema everyone can agree on.

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