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The Fast Lane and the Open Data Stack | DataStax

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Over the last 6 months, we've been focused on delivering an open data stack for the fast lane… a stack that frees data from legacy systems and enhances business agility with reduced costs.
• We launched our Astra DB serverless database offering. This is already helping enterprises bend the TCO curve by significantly reducing data costs.
• We delivered a streaming platform (Astra Streaming) powered by Apache Pulsar. A recent GigaOm report found that Pulsar provides up to 81% cost savings over Kafka—and 35% higher performance.
• We partnered with the Apache Cassandra community on Cassandra 4.0, which is now GA.
Thank you to the Cassandra & Pulsar communities, our enterprises and developers for your continued trust and partnership.
About DataStax:
DataStax is the open, multi-cloud stack for modern data apps. DataStax gives enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kubernetes.
DataStax is built on proven Apache Cassandra™ and the Stargate™ open source API platform. DataStax Astra is the new stack for modern data apps as-a-service, built on the scale-out, cloud-native, open source K8ssandra™. DataStax also offers Astra Streaming, a multi-cloud messaging and event streaming platform built on Apache Pulsar™.
DataStax powers modern data apps for 500 of the world’s most demanding enterprises including The Home Depot, T-Mobile, Intuit and half of the Fortune 100.
#apachecassandra #apachepulsar #nosql #cloudnative
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Watch My Others Video:
👉Everything You Need to Know About Storage Attached Indexing in Apache Cassandra™ | DataStax
👉Differentiating as a Data-Driven Enterprise | DataStax
👉How to Create a Database with Astra in 2 MINUTES | DataStax
Watch My Playlist :💥💥
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#cloudnative #apachecassandra #Cassandra #netflix #DataStax
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Don't Forget To Subscribe to Our Channel
• We launched our Astra DB serverless database offering. This is already helping enterprises bend the TCO curve by significantly reducing data costs.
• We delivered a streaming platform (Astra Streaming) powered by Apache Pulsar. A recent GigaOm report found that Pulsar provides up to 81% cost savings over Kafka—and 35% higher performance.
• We partnered with the Apache Cassandra community on Cassandra 4.0, which is now GA.
Thank you to the Cassandra & Pulsar communities, our enterprises and developers for your continued trust and partnership.
About DataStax:
DataStax is the open, multi-cloud stack for modern data apps. DataStax gives enterprises the freedom of choice, simplicity, and true cloud economics to deploy massive data, delivered via APIs, powering rich interactions on multi-cloud, open source and Kubernetes.
DataStax is built on proven Apache Cassandra™ and the Stargate™ open source API platform. DataStax Astra is the new stack for modern data apps as-a-service, built on the scale-out, cloud-native, open source K8ssandra™. DataStax also offers Astra Streaming, a multi-cloud messaging and event streaming platform built on Apache Pulsar™.
DataStax powers modern data apps for 500 of the world’s most demanding enterprises including The Home Depot, T-Mobile, Intuit and half of the Fortune 100.
#apachecassandra #apachepulsar #nosql #cloudnative
🔴Don't Forget To Subscribe to Our Channel🔴
-----------------------------------------------------------------------------------------------------------------------
Watch My Others Video:
👉Everything You Need to Know About Storage Attached Indexing in Apache Cassandra™ | DataStax
👉Differentiating as a Data-Driven Enterprise | DataStax
👉How to Create a Database with Astra in 2 MINUTES | DataStax
Watch My Playlist :💥💥
-------------------------------------------------------------------------------------------------------------------
#cloudnative #apachecassandra #Cassandra #netflix #DataStax
--------------------------------------------------------------------------------------------------------------------
Follow Our Social Media 🔶🔶
★ Like ★ Comment ★ Share ★
Don't Forget To Subscribe to Our Channel