Exciting news, we are growing our team! ?? We currently have four open roles: ? Data Platform Engineer ? Platform Engineer ? UI/UX Engineer ? Site Reliability Engineer (SRE) Know someone who may be a great fit? Tag them below or share. Apply here ? https://lnkd.in/gV5PGxGy
DeltaStream
数据基础架构与分析
Menlo Park，California 981 位关注者
A unified serverless stream processing platform to manage, secure and process all your event streams.
关于我们
DeltaStream provides a unified serverless platform to manage, secure and process all your streams. Build real-time streaming applications and pipelines with SQL in minutes. Organize and secure your streams the same way as your relational databases.
- 网站
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https://www.deltastream.io/
DeltaStream的外部链接
- 所属行业
- 数据基础架构与分析
- 规模
- 11-50 人
- 总部
- Menlo Park，California
- 类型
- 私人持股
- 创立
- 2020
产品
![点击此处查看DeltaStream]()
DeltaStream
事件流处理 (ESP) 软件
DeltaStream is a unified serverless stream processing platform that integrates with streaming storage services - it acts as the compute layer on top of your streaming storage. It provides functionalities of streaming analytics (stream processing) and streaming databases along with additional features to provide a complete platform to manage, process, secure and share streaming data. DeltaStream provides a SQL based interface where you can easily create stream processing applications such as streaming pipelines, materialized views, microservices and many more. It has a pluggable processing engine and currently uses Apache Flink as its primary stream processing engine. DeltaStream brings relational database concepts to the data streaming world, including namespacing and role based access control enabling you to securely access, process and share your streaming data regardless of where they are stored.
地点
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主要
获取路线
Sand Hill Rd
US，California，Menlo Park，94025
DeltaStream员工
动态
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DeltaStream转发了
If you are ingesting data from Kafka/Kinesis into Snowflake you should watch this short video by Charles Tan and Shawn Gordon on how you can use DeltaStream to shift left your workloads to reduce cost and latency! #Flink #Kafka #Snowflake #ShiftLeft https://lnkd.in/gnZ45MTa
DeltaStream Solution: Read from Apache Kafka and write to Snowflake
https://www.youtube.com/
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Join us for an in-depth discussion on Apache Flink 2.0! In this webinar, we will dive into the groundbreaking features of Flink’s latest release, discussing its new capabilities, performance enhancements, and how it’s shaping the future of real-time data processing. Whether you’re a seasoned Flink user or new to stream processing, this session will provide valuable insights into how Flink 2.0 can elevate your data streaming strategies.? Hosted by Hojjat Jafarpour, Yaroslav Tkachenko, and Shawn Gordon
Apache Flink 2.0: What’s to come and the impact on stream processing
www.dhirubhai.net
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Want to take a spin around our new UI? ?? You can access a free trial and start building in minutes, just connect to a data store and start writing queries. Take a look at our Getting Started video to see for yourself how simple it is to start: https://lnkd.in/gHe-mwhY #ApacheFlink #StreamingData #RealtimeData #DeltaStream
Getting Started with DeltaStream
https://www.youtube.com/
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Exciting Product Update: Introducing Our Streamlined UI ?? We've reimagined our platform interface to make real-time stream processing even more intuitive and powerful. Our new UI delivers: ? Enhanced Dashboard for instant insights ? Centralized Resources & Integration pages ? Customizable Workspaces ? Advanced Query & Activity tracking ? Improved error detection and management These updates streamline workflows, boost productivity, and give you unprecedented visibility into your data streams. Take a look at our blog for more details on what’s different, then get a free trial to experience it for yourself. https://lnkd.in/gJwfTMe2 #UserInterface #ProductUpdate #StreamProcessing #DeltaStream
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?? Big changes are coming to Apache Flink with 2.0 on the horizon After 8 years of evolution since Flink 1.0, version 2.0 is set to transform how we handle data streaming. Here's what's getting us excited: - Disaggregated state storage for improved scalability - Enhanced recovery and rescaling capabilities - Up to 80% better throughput with new caching mechanisms - Major API modernization and unification - Significant performance improvements for cloud-native environments We are proudly powered by Apache Flink, and are particularly excited about these updates. ?? Read our full deep dive into Flink 2.0's game-changing features: https://lnkd.in/geAHHbbU #ApacheFlink #DataEngineering #StreamProcessing #BigData #CloudNative
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DeltaStream转发了
Exciting news, we are growing our team! ?? We currently have four open roles: ? Data Platform Engineer ? Platform Engineer ? UI/UX Engineer ? Site Reliability Engineer (SRE) Know someone who may be a great fit? Tag them below or share. Apply here ? https://lnkd.in/gV5PGxGy
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It's been one year ago today since open sourcing our Snowflake connector for Apache Flink! ? ?? Today we have made a few updates and improvements to share: ? Support a wider range of Apache Flink environments, including Managed Service for Apache Flink and BigQuery Engine for Apache Flink, with Java 11 and 17 support. ? Fixed an issue affecting?compatibility with Google Cloud Projects. ? Upgraded to Apache Flink 1.19. We're thrilled to have the opportunity to contribute our Snowflake connector to the #Flink community. Take a look for more: https://lnkd.in/g3Qjea9m
Open Sourcing our Snowflake Connector for Apache Flink
deltastream.io
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DeltaStream转发了
Exciting news, we are growing our team! ?? We currently have four open roles: ? Data Platform Engineer ? Platform Engineer ? UI/UX Engineer ? Site Reliability Engineer (SRE) Know someone who may be a great fit? Tag them below or share. Apply here ? https://lnkd.in/gV5PGxGy
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Is the future of data fully real-time? What does this mean for batch processing? Hojjat Jafarpour explores the future of stream processing and its effects on batch in a clip from our Ask the Experts series. #StreamProcessing #ApacheFlink #BatchData