Cloud Analytic Solutions
Automated Migration for Cloud Analytics
About Cloud Analytics
Businesses are under pressure to implement big data analytics. They are driving to better understand markets, refine operations and create new business models. Cloud migration from Hadoop to spark-based cloud analytics is making companies more competitive, lean, and nimble. In addition, businesses are taking advantage of cheap, scalable storage and the flexibility that the cloud offers in hybrid cloud and multi cloud for modern big data analytics.
However, this is not an easy pursuit given legacy Hadoop, and cloud migration is fraught with risk trying to run the existing business without disruption. With WANdisco LiveAnalytics, we solved the cloud migration problem of big data analytics on-premises to cloud analytics without stopping your business. With LiveAnalytics, WANdisco provides cloud migration for immediate analytic data access through continuous automated replication from on-premises Hadoop analytics to Spark based cloud analytics.
Once data resides in the cloud, enterprises are empowered to maintain a hybrid-cloud or create a multi-cloud environment where data can reside in geographically dispersed regions within a single cloud, or enterprises can leverage the application capabilities across multiple cloud vendors, thereby avoiding vendor lock-in.Learn more
WANdisco's LiveAnalytics Solution
Automated Migration for Cloud Analytics.
Zero Data Loss
For big data analytics, WANdisco's LiveAnalytics Solution delivers low-risk, automated cloud migration from on-premises Hadoop analytics to Spark based cloud analytics. WANdisco provides automated Hadoop Migration to the cloud. With LiveAnalytics, bringing big data analytics to the cloud won't disrupt your business. You will continue to use your on-premises environment during cloud migration, because LiveAnalytics moves your largest data sets with 100% consistency, even while they are under active change.
LiveAnalytics' continuous, consistent, automated data replication ensures cloud migration data is immediately available for big data analytics processing. LiveAnalytics keeps your cloud migration accurate and consistent across all your business application and storage environments, including both aws migration and azure migration. With minimal disruption with cloud migration between Hadoop and non Hadoop environments, LiveAnalytics provides faster adoption of cloud analytics and ML and AI for enterprises.
Built upon WANdisco's LiveMigrator and Plugin for Databricks Delta Lake technologies, LiveAnalytics allows you to just select your data sets and push start for your first step into big data analytics. LiveMigrator provides One Click automated replication across all major commercial Hadoop distributions and aws cloud analytics and azure cloud analytics services. In addition, LiveMigrator is software that delivers aws migration services, aws cloud migration and azure database migration services.
Requiring just One Pass of the big data analytics source storage, LiveMigrator's One Consensus capability ensures 100% Data Consistency in a distributed environment – on-premises, hybrid-cloud, multi-region cloud, and multi-cloud. In addition, One Consensus eliminates the need for manual response to system failures, including network outages and other disruptions. The LiveAnalytics Plugin for Databricks Delta Lake replicates Hive content to cloud analytics storage for Databricks and makes Hive data and metadata immediately available as Delta Lake tables.
WANdisco LiveAnalytics at a glance
Automated Migration for Big Data Analytics
Cloud Migration: Make big data available for cloud analytics Hybrid and multi cloud
Faster adoption of AI and ML
Provides Business Continuity
Zero Downtime during migration unaffected by outages
Ensures Data Consistency
Zero data loss, Zero Inconsistencies and complete consistency between data sets for big data analytics
Increases IT Efficiency
Minimizes IT resources with automated replication The #1 Fastest Big Data Analytics Cloud Migration/Replication on the market (Not batch migration) lowers project cost, faster project completion, faster adoption of ML and AI
LiveAnalytics One Pass
Single scan of changing data Delivers cloud migration speed and scale
LiveAnalytics One Click
With Automated Replication, just select data sets and push start. LiveAnalytics notifies you when and push start. LiveAnalytics notifies you when cloud migration is complete with no scripts, no code maintenance, no transfer devices, no scheduling, and no reviewing
LiveAnalytics One Consensus
Algorithm that maintains data consistency when changes occur across shared systems during and after Hadoop migration to the cloud
LiveAnalytics Plugin for Databricks DeltaLake
Replicates Hive content to cloud storage for Databricks, Makes Hive data and metadata available as Delta Lake tables
Automated Big Data Migration
Business success now depends on bringing exabytes of constantly changing data to work in the cloud. When bringing big data to hybrid, multi-region, cloud and multi cloud environments, businesses must choose between manual and automated migration approaches.
Manual Cloud Migrations are based on custom programming to copy data to the cloud. Large data sets take time to bring to the cloud. While making data available in the cloud, change and ingest is still needed. This time lag makes it challenging to accurately bring continuously changing large scale data sets to the cloud. These manual migrations create unnecessary business risk because they can disrupt the operation of on-premises applications, deliver inconsistent data, risk data loss, and lack accuracy validation. In addition, they cause costly overhead with time overruns, manual checking, repeated scans, and significant resources for custom code maintenance and management
Alternatively, automated cloud migrations are based on WANdisco LiveMigrator. Migrate your data at scale from continuously operating on-premises systems to Azure Databricks, ADLS and multiple Azure regions. As changes occur anywhere in the donor system, LiveMigrator One Consensus creates and ensures beneficiary data consistency. Additionally, LiveMigrator minimizes IT resources with One Click automated replication across all major commercial Hadoop distributions and AWS and Azure storage and analytic services, while requiring just One Pass of the source storage.
Hadoop & Object Storage: Works across a variety of big data source and target environments, including all major Hadoop and object storage technologies
Petabyte Scale: Migrates big data sets at any scale to cloud storage without needing to halt changes made to the data sets during migration
One Click: With Automated Replication, just select data sets and push start. LiveMigrator notifies you when migration is complete with no scripts, no code maintenance, no transfer devices, no scheduling, and no reviewing
Selective Migration: Allows selection of which data sets should be migrated. Administrators define replication policies that control what data is replicated between clusters and selectively exclude data from migration to specific clusters in the new environment, or move it off to be archived
One Pass: Migrates existing data sets with a single pass through the source storage system, eliminating the overhead of repeated scans
One Consensus: As changes occur anywhere in the donor system, LiveMigrator One Consensus creates and ensures beneficiary data consistency. It incorporates changes made to the data sets under migration with a strongly consistent distributed consensus engine, so that applications can continue to modify the donor system’s data without causing divergence between donor and beneficiary
Automatic Outage Recovery: LiveMigrator One Consensus eliminates the need for manual response to system failures, including network outages and other disruptions
Bandwidth Management: Optimizes bandwidth use by eliminating the need for repeated transfer of data, and enforces limits on bandwidth use
Rapid Availability: Minimizes the time required to bring workloads to the cloud by making each data location available for use as soon as bandwidth allows
LiveMigrator: Migrate from on-premises HDFS to the Cloud with zero downtime, zero data loss and zero inconsistency.Download Data Sheet keyboard_arrow_right
LiveMigrator Use Cases
Adopt scalable cloud storage
Free your systems from the capital constraints of acquiring storage hardware by leveraging cloud storage systems, including Amazon S3, Azure Data Lake Storage, Google Cloud Storage and Alibaba Object Storage Service.
Cloud migration without downtime
No-disruption data migration allows your users and systems to continue operating while migration is underway—even if the migration takes weeks or months.
Cloud analytics tools
Bring your on-premises workloads to the analytic tooling available in the cloud. Follow defined processes for using systems like Databricks, Snowflake and Hadoop in the cloud without affecting your on-premises activities.
Data lake consolidation
Unify your data silos in a modern architecture by bringing datasets to the cloud, and maximize your data investments by keeping information available to all users.
Hybrid cloud enablement
Transition to a hybrid architecture where you keep on-premises and cloud environments continuously in sync.
Multi cloud enablement
Set the foundation needed for a future multi cloud strategy where your data remain accessible and active across multi cloud environments.
WANdisco LiveMigrator At a Glance
Make big data available in cloud
Hybrid Cloud: On-premises and Multi Cloud
Provides Business Continuity
ZERO DOWNTIME during migration
Ensures Data Consistency
ZERO DATA LOSS, ZERO INCONSISTENCIES And complete consistency between data sets throughout cloud migration
Increases IT Effciency
No scripts, no code maintenance, no transfer devices, custom code maintenance, no big bang cutover for applications
LiveMigrator One Pass
Single scan of changing data Delivers cloud migration scale
LiveMigrator One Click
With Automated Replication, just select data sets and push start. LiveMigrator notifies you when cloud migration is complete with no scheduling, and no reviewing
LiveMigrator One Consensus
Algorithm that maintains data consistency when changes occur across shared systems