AWS Data Lake & Lakehouse
A governed medallion lakehouse on S3 — raw, cleansed and business-ready layers your teams can trust. Stood up in weeks, not quarters.
Amazon S3, AWS Glue, Lake Formation, Athena
Learn moreAWS Partner Network
Algoscale is an AWS Advanced Tier Services Partner
We design, build and run data platforms on AWS for US enterprises — governed data lakes, modern warehouses and AI that holds up in production. Built by certified AWS engineers, deployed in weeks with our S.C.A.L.E.™ accelerator.
ISO 27001 certified · Clutch 5.0 from 12 reviews · Listed on AWS Marketplace
Certified
Trusted by data and AI teams at
12+Years in business
150+Projects delivered
80+Data & AI specialists
85%Client retention
What our AWS partnership means for you.
AWS Advanced Tier is awarded to services partners with proven delivery on AWS — certified people, validated customer projects and a track record AWS reviews. For you, it means a team that has already built on the services you're about to use, and a direct line into AWS when a project needs it.
Our AWS work is focused on data and AI: unifying fragmented systems into one governed data lake, modernizing warehouses, and building the pipelines and models that run on top. We publish our AWS services on AWS Marketplace, so you can procure through your existing AWS account.
Certified on AWS
Every AWS platform is designed and built by AWS-certified engineers.
Buy through AWS Marketplace
Our AWS data warehouse services are listed, so spend can count against your AWS commitment.
Security by design
ISO 27001 certified, with Lake Formation access controls built in from day one.
AWS data & AI services.
Everything you need to get data on AWS working for the business — from the first ingestion pipeline to AI in production.
AWS Data Warehouse Modernization
Replace scattered spreadsheets and legacy warehouses with one source of truth on AWS, feeding the BI tools you already use.
Amazon Redshift, Athena, QuickSight / Power BI
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Data Pipelines & Integration
Real-time CDC and batch pipelines from ERPs, CRMs and SaaS tools — orchestrated, retried and monitored automatically.
AWS DMS, Glue (PySpark), Step Functions, Lambda
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Data Governance & Security
Row- and column-level access, master data and audit-ready controls written into the platform, not bolted on later.
Lake Formation, IAM, Secrets Manager, CloudWatch
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Migration to AWS
Move on-premise SQL Server, Oracle or legacy warehouses to AWS with a phased plan that keeps reporting running.
AWS DMS, S3, Redshift, Glue
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AI & ML on AWS
Forecasting, document intelligence and AI agents built on governed AWS data — and taken into production, not left as a pilot.
Need AWS engineers on your team instead? Hire AWS developers →
AWS customer stories.
Oncology
Read the case study →
100k+ HCP engagements on Amazon Redshift, answered in plain English
We put a natural-language layer (AnalystIQ) on BeOne's Redshift warehouse, so commercial and medical affairs teams query 100k+ HCP engagements without SQL. No data is copied out of their AWS account.
65+questions a week in plain English
< 25sto answer a five-table question
Marketing & advertising
Read the case study →
OH Partners' paid media analytics, rebuilt off legacy Amazon Redshift views
OH Partners' paid media reporting ran on legacy Redshift masterviews that nobody fully trusted. We rebuilt the pipeline in Snowflake on a layered dbt model, reconciled metric by metric against the Redshift logic.
100%alignment on validated spend
~40%less effort to debug and ship
Financial services
Read the case study →
Real-time loan and sales dashboards for Juice, fed from Amazon S3
Juice's team pulled loan and sales reports by hand every week. We connected Amazon S3, HubSpot and Azure SQL into one Databricks platform with real-time dashboards in Looker.
80%less manual reporting effort
30%faster loan processing
Hear From our Clients.
I’ve been tremendously impressed by their knowledge, skills and professionalism.
Neeraj and Algoscale enabled Perceptronix and my clients have the cutting edge solutions they need to solve the very real problem that they have. We really enjoy working with their development team — our projects are always well defined and managed by project leaders.
We are impressed with their good communication skills.
Algoscale Technologies, Inc. provided a transportation company with BI, big data consulting, and SI services. The team was tasked with improving the client’s traffic movement counts at several intersections.
5.0
Verified on Clutch · Oct 2023Loren E. Chilson, PEPrincipal, Headway Transportation
IndustryTransportation
LocationReno, Nevada
We are extremely happy with the work that they’ve done.
They are responsive, the quality of the engineers and data scientists are very very good. They are challenged by us and ultimately always deliver. We find that the management team are really attuned to the kind of skills that we need.
…Algoscale is unwilling to settle for anything less than full customer satisfaction.
Algoscale Technologies, Inc. created an engine to capture data and an analytics platform to synthesize the information. They consulted on which technologies to use and provided maintenance.
5.0
Verified on Clutch · Jan 2020ADCTOAdiply LLC
IndustryAdvertising & marketing
LocationDallas, Texas
100% of the deadlines set by Algoscale Technologies, Inc. have been met.
Algoscale Technologies, Inc. provides ongoing analytic, development, and data science support for an analytics firm.
5.0
Verified on Clutch · Jan 2020JSCOOJakstat Solutions
IndustryBusiness services
LocationFort Lauderdale, Florida
AWS partnership FAQs.
It means AWS has validated Algoscale's certified engineers and delivered customer projects on AWS. Advanced Tier is awarded only after a partner meets AWS's requirements for certifications, customer success and technical capability. For you, it means a team with proven AWS delivery and direct access to AWS support when a project needs it.
Algoscale builds data and AI platforms on AWS: data lakes and lakehouses on S3, data warehouse modernization with Redshift and Athena, real-time and batch pipelines with Glue, DMS and Step Functions, governance with Lake Formation, migration to AWS, and AI and ML on governed data.
With our S.C.A.L.E.™ accelerator, the first live pipeline runs within days of kickoff, and most platforms reach production in weeks rather than quarters. The exact timeline depends on how many source systems you have. Our engagement estimator gives you a realistic week-range in two minutes.
Yes. Algoscale's AWS data warehouse modernization and implementation services are listed on AWS Marketplace, so you can procure through your existing AWS account and billing.
It depends on your workload, team skills and cost model. Redshift fits teams that want to stay fully AWS-native; Snowflake fits teams that want multi-cloud flexibility and separate compute per workload. Algoscale partners with both AWS and Snowflake, so we recommend the one that fits, not the one we sell.
Yes. We connect AWS data platforms to Power BI, Tableau, Looker and Amazon QuickSight. In one engagement, we fed 20+ live Power BI dashboards from a single AWS data lake.
Security is built into the platform from day one. Algoscale is ISO 27001 certified, and our AWS builds use Lake Formation and IAM for row- and column-level access, Secrets Manager for credentials, and HIPAA, SOX, PCI-DSS and GDPR guardrails written into Terraform.
Yes. After launch, you can keep a dedicated Algoscale team embedded with yours, or move to a support retainer for monitoring, fixes and new pipelines. Every pipeline we hand over includes alerting and retries, so day-to-day operations stay low-touch.
5.0 / 5 · 12 reviews
ISO 27001
Clutch Champion 2025
Clutch Global 2025
Best Data Analytics Companies 2025
Contact Us.
Tell us what you are trying to solve. A member of our team will get back to you with next steps, not a brochure.
Our customers
Certified partners
Certifications
ISO 27001Clutch Champion 2025Clutch Global 2025Best Data Analytics Companies 2025