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Striim Bolsters Cloud Information Integration to Google


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Two months after enhancing real-time knowledge connections to Snowflake and Databricks, streaming knowledge integration supplier Striim at present unveiled an improved, safer connection to Google Cloud with the launch of Striim Cloud 4.2.

One of many large options launched with at present’s unveiling of Striim Cloud 4.2 is assist for Google Personal Service Join, which is a Google service that permits customers to switch knowledge utilizing a digital non-public cloud, thereby bypassing the general public Web.

In accordance with Google, PSC “permits shoppers to entry managed companies privately from inside their VPC community.” It lets shoppers “use their very own inner IP addresses to entry companies with out leaving their VPC networks or utilizing exterior IP addresses,” Google says on its PSC webpage.

Striim says it labored with Google to develop its PSC integration, thereby streamlining the event of integration factors among the many sources and targets of Google Cloud clients. Striim Cloud clients can now use a “easy GUI” to configure their PSC connections in a matter of minutes, Striim says.

The PSC integration at the moment helps the next Google Cloud knowledge shops: BigQuery; Cloud SQL for MySQL, Cloud SQL for Postgres, Google Cloud Storage, and Spanner. Along with Google knowledge shops, Striim Cloud clients can use the PSC connection to carry on-prem knowledge into Striim surroundings utilizing digital non-public networks and subnets, in keeping with Striim documentation.

Striim now helps the creation of knowledge integration in Google Personal Service Join (Picture courtesy Striim)

Striim Cloud 4.2 additionally brings new sources and targets into the info pipelines it creates for purchasers, bringing the entire variety of integrations (sources and goal) to greater than 150, the corporate says.

New integration factors embody readers for Google Cloud Storage and Salesforce Pardot (readers are on the finish of the info pipelines Striim mechanically creates). The corporate additionally launched a ServiceNow author (writers are originally of the pipelines), offering Striim Cloud learn and write assist. Clients can use this functionality to synchronize a number of ServiceNow situations or enrich ServiceNow tickets with exterior functions and knowledge, the corporate says.

Integration with PostgreSQL, the world’s hottest cloud database, has additionally been enhanced with Striim Cloud’s change knowledge seize (CDC) functionality. In accordance with Striim, the brand new “auto-optimizing” CDC functionality can now “mine” modifications in PostgreSQL involving very massive transactions, and at low latencies. This may enhance the efficiency and uptime of pipelines created rom PostgreSQL to cloud knowledge warehouses, Kafka, and different targets, the corporate says.

SQL Server integration has additionally been enhanced, because of a brand new functionality to learn compressed database tables with MSJet,

Further knowledge integration enhancements: Striim has added assist to learn SQLServer compressed tables with MSJet, Microsoft’s log-based change knowledge seize reader. Striim  additionally enhanced its MongoDB Reader to assist change streams and doc filtering, the corporate says.Striim

Striim has been on the forefront of streaming knowledge and knowledge integration because it was based 11 years in the past. The Menlo Park, California firm develops two variations of software program, together with Striim Platform, which clients can run on-prem or of their public cloud environments, and Striim Cloud, a completely managed SaaS platform obtainable on Microsoft Azure or Google Cloud Platform.

In June, Striim introduced enhanced assist for streaming knowledge into Snowflake and Databricks, two of the most well-liked cloud knowledge warehouse and lakehouse environments.

For its Snowflake integration, Striim documented the potential to ship terabytes of knowledge per day into Snowflake with latency within the seconds. Striim touted how its buyer, Cienna, is ready to transfer 100 million occasions in actual time into Snowflake each 24 hours.

In the meantime, its new Striim for Databricks providing offers clients the potential to stream transactional knowledge from tons of and 1000’s of tables to Databricks with sub-second end-to-end latencies, the corporate says.

Safety in each Databricks and Snowflake environments has been improved with Striim Cloud 4.2, because of assist for OAuth authentication mechanism.

Associated Gadgets:

Cloud Migration Is a Boon to Operations. However It Creates a Good Storm of Information Challenges

Fueled by Kafka, Stream Processing Poised for Progress

Folks to Watch 2019 – Steve Wilkes, CTO and Co-founder, Striim

 

 



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