Today we've released version 0.19 of Vyne, and it's a good 'un.
If you haven't heard of Vyne yet, it's a Data Gateway that makes it easy to connect, combine and transform data across your enterprise, automatically handling all the messy integration code - including automatically updating as data sources & APIs change. Vyne provides cool things like:
- A federated API for all your data, automatically integrating and stitching APIs together
- Dynamic data pipelines which transform and enrich your data declaratively without requiring complex transformation code
- No-code data stores, that turn offline data (like CSVs and batch files) into powerful REST microservices. (We call these "Casks").
- A BYO Data Model approach to serving and consuming large datasets on your own terms.
- Fully automated data catalog and lineage for all your enterprise data.
Now, onto the new stuff - what's in 0.19?
Parallel work distribution
This one's really exciting. For large workloads where customers are running reports that have heavy transformations & enrichments, those workloads used to take some time.
Now, Vyne can distribute the work transparently over a cluster of nodes. This gives near-linear reduction in time. (ie., running a cluster of 3 nodes reduces the time to complete to roughly 1/3rd).

Continuous Queries
Vyne has always been great at fetching data over REST from HTTP services, transforming and enriching it as required.
However, we now support streaming results from continuous queries - queries that have infinite results. Using Taxi's new Stream<T>
syntax, Vyne can fetch data from any services that expose a Stream
of data.
Currently, we support services that expose text/event-stream
response types, but support for message brokers (such as Kafka) is coming soon.
Of course, continuous queries still have the full power of Vyne's transformations and enrichments. This means you can subscribe for a feed of data, and seamlessly transform to the shape you require, including asking for data stitched in from other services - all with a single taxiQL query - no integration code required - neat huh?
stream { CustomerOrders } as {
// mixing and matching data from an event...
orders : PurchasedItem[]
orderTotal : OrderCost
// ... and data enriched from other services...
customer {
id : CustomerId
address : CustomerAddress
customerName : String as CustomerFirstName + ' ' + CustomerLastName
}
}
Continuous feeds from Casks
Casks are our lightweight data store - a simple way to take data, and expose it as a fully fledged RESTful microservice.
We now support issu streaming updates from Casks as they come in, allowing you to turn RESTful API into a full event stream.
We also correctly auto-generate the schema information required to expose these streaming endpoints as Stream
endpoints, so that Casks can be used as a source for a Continuous Query.
Cask data retention policies
Casks are a great place to turn offline data into queryable content. However, like all data stores, sometimes you want to only keep data for a short term.
Cask retention policies have you covered - letting you optionally specify a duration to keep data.
New docs site
We have a new documentation site, over at docs.vyne.co. We've migrated our documentation infrastructure away from Gitbook, and onto a Netlify Gatsby stack. This allows us to keep our docs in our code, and maintain documentation as we go.

We're working on improving our docs all the time, and this is a big step in the right direction.
Support for HTTP Authentication headers
Vyne can now be configured to pass additional HTTP Authentication headers when calling services.
Configuration is defined per-service, and can be a mix of explicitly configured values, or values passed into Vyne through config and environment variables, to help keep your credentials secure.
Take it for a spin
Vyne 0.19 is out today, and we can't wait for people to give it a spin. It's easy to get started with our docker images - simply start up Vyne:
docker run -p 9022:9022 vyneco/vyne
As always, we're available on Slack to answer any questions - just reach out and say Hello!