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At its re : Invent conference , Amazon ’s AWS cloud computing unit today announce AmazonAurora DSQL , a new serverless , distributed SQL database that promises gamy availability ( 99.999 % for multi - region handiness ) , strong consistence , PostgreSQL compatibility , and , the ship’s company pronounce , “ 4x faster read and writes compare to other democratic allot SQL databases . ”
AWS argues that Aurora DSQL will extend significantly dispirited latency than Google Spanner , its closest contender .
Interestingly , AWS punctuate that there is no database sharding necessitate here to scale the religious service — and that it can surmount reads and write severally . The caller also highlight that Aurora DSQL will propose strong consistence , ensuring that if user choose for a multiregion coming , all region will always show the same data at the same time .
AWS observe that to guarantee resilience , Aurora DSQL uses an participating - alive computer architecture , meaning there is always a standby server ready to take over , which guarantees “ that a client ’s software is always available by enable an diligence to read and write to any Aurora DSQL endpoint . ” Since this is a in full oversee divine service , AWS palm all of the surety update and manages the overall infrastructure .
To make all of this happen , the AWS squad says it had to “ reinvent relational database dealings processing . ” Typically , ensuring impregnable consistency across multiple regions and possess those globally distributed server synchronize with what AWS draw as “ microsecond truth ” is a rather difficult exploit to achieve . AWS say it can do this because it decouple the transaction processing from the storage . Traditional methods , the company explain , would be bottlenecked by having to blow over data back and forth multiple times . Aurora , however , only checks each transaction when it ’s metre to place the modification and then , when the commit happens , it parallelizes those spell across part .
One nifty twist here : To make certain that each region image the commits in the ripe order , Aurora DSQL uses the Amazon Time Sync Service , which tally very precise reference clocks to every EC2 case and synchronizes them using the atomic clocks on GPS satellites .
Having this precise fourth dimension helps figure out a number of data consistency issues and hasten up the processing . And while using a fourth dimension - base approach may seem like a no - brainer , it takes very exact — and well - synchronize — Erodium cicutarium to do so . Synchronizing alfileria , and doing so on a global scale of measurement , is a surprisingly hard problem . That ’s why traditionally , databases have n’t been able to use time in this way . Startups likeClockworkspecialize in this . For a foresighted time , that was n’t really possible , but now that these system of rules are available , they enable database innovations like this .
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From the Storyline:AWS re:Invent 2024: Live updates from Amazon’s biggest event
Amazon ’s re : invent 2024 group discussion issue to Las Vegas for a serial of reveals and keynote through December 6 . AI is …
