Connect Google Cloud Spanner to Amazon Kinesis

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Google Cloud Spanner
+
Amazon Kinesis
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About Google Cloud Spanner

Google Spanner is a Google Cloud-based database system that is ACID compliant, horizontally scalable, and global. Spanner is the database that underpins much of Google’s own data collection, and it has been designed to offer the consistency of a relational database along with the freedom of a non-relational one.

About Amazon Kinesis

Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.

Popular Use Cases

Bring all your Amazon Kinesis data to Amazon Redshift

Load your Amazon Kinesis data to Google BigQuery

ETL all your Amazon Kinesis data to Snowflake

Move your Amazon Kinesis data to MySQL

Google Cloud Spanner's End Points

Move data from MySQL to Google Spanner to provide more scalability
Integrate data from MongoDB and Google Spanner
Move data from HDFS to Google Spanner

Amazon Kinesis's End Points

Amazon Kinesis Video Streams
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
Amazon Kinesis Data Streams
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.

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Integrates With

8x8
AS400
AdRoll
Aftership
Airtable
AlloyDB
Amazon Aurora
Amazon Kinesis
Amazon RDS
Amazon Redshift
Amazon S3
Amplitude
AppsFlyer
Asana
Coming Soon
AskNicely
Atlassian
Autopilot
Azure Synapse Analytics
Base CRM
Basecamp
BigCommerce
Bill.com
Coming Soon
Box
Coming Soon
Braintree
Coming Soon
Branch
Buffer
CallRail
Campaign Monitor
Coming Soon
Cassandra
ChartMogul
Chartio
Clearbit
CleverTap
Close.io
CloudTrail
Coming Soon
Contentful
Cratejoy
Coming Soon
Crunchbase
Coming Soon
Customer.io
Delighted
Domo
DoubleClick Bid Manager
DoubleClick Campaign Manager
Coming Soon
Drift
Coming Soon
Drip
Dundas BI
Elasticsearch
Eloqua
Coming Soon
Eventbrite
FTPS
Facebook Ads
Freshdesk
Fullstory
GitHub
GitLab
GoToWebinar
GoodData
Google Ads
Google Analytics
Google BigQuery
Google Cloud SQL for MySQL
Google Cloud SQL for PostgreSQL
Google Cloud Storage
Google Drive
Google Hotel Price
Google My Business
Google Sheets
Gorgias
HDFS
Coming Soon
Harvest
Coming Soon
Heap
Help Scout
Heroku Connect
Heroku Postgres
HubSpot
IBM DB2
Intercom
Invoiced
Coming Soon
Iterable
Jaspersoft
Jira
Klaviyo
LinkedIn
Listrak
LivePerson
Loggly
Looker
MS SQL
Magento
MailChimp
Mailgun
MariaDB
Marketo
MemSQL
Microsoft Ads
Microsoft Azure Blob Storage
Microsoft Azure SQL Database
Mixpanel
Mode
MongoDB
MongoDB Atlas
MySQL
NetSuite
Omnisend
Open Exchange Rates
Oracle
Oracle Responsys
Outbrain
Papertrail
PayPal
Pendo
Periscope Data
Pinterest
Pipedrive
PostgreSQL
PrestaShop
QlikView
Coming Soon
QuickBooks
RESTful API
ReCharge
Recurly
Revinate
SFTP
SFTP To Go
Salesforce
Salesforce Einstein
Salesforce Marketing Cloud
Salesforce Pardot
Segment
SendGrid
ShipStation
Shippo
Shopify
Slack
Snapchat Ads
Snowflake
Coming Soon
Square
Stamped.io
Stripe
Taboola
TikTok Ads
Trello
Twilio
Twitter
UserVoice
Vertica Analytics Platform
Wrike
Xero
Yahoo Gemini
Yotpo
YouTube
YouTube Analytics
Zendesk
Zendesk Chat
Zuora
e-conomic
eBay

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