A+ rating
Average 5.00 ratingState-of-the-art Hive Performance Optimisation & Consulting Services across Australia
You can engage our team even for a single capacity just like one-off performance tuning pass or you can avail a full Hive Data Warehouse services in Australia covering the complete range of services from design, migration to ongoing support.
HiveQL Development & Query Engineering
Get our team to customise HiveQL queries, UDFs and scheduled ETL jobs built around your reporting requirements.
Hive Meta-store Consulting & Governance
Our services have been first preference for schema governance, metadata cleanup, access control and Hive Meta-store performance tuning.
Hive Data Warehouse Design
Well-crafted Schema design, partitioning strategy and table architecture for scalable Hive data warehouses to cope with your data warehousing management.
Hive Integration with BI Tools
Our team is well-equipped for a robust connector setup and semantic layer design for Tableau, Power BI and other BI platforms to harmonize the data flow.
Hive to Cloud Data Warehouse Migration
Well-Structured migration of your Hive data warehouse to managed cloud Hadoop or a cloud-native warehouse.
Hadoop Ecosystem Integration
Fine and flawless integration with Spark, Kafka and Sqoop for pipelines feeding your Hive warehouse.
Hive Performance Optimisation
Minimise the query times by tuning Tez execution engine, smart partitioning, bucketing, and file-format.
Managed Hive Support & Administration
CDU also offers ongoing cluster and Meta-store administration, monitoring and optimisation services to make Hive ecosystem more robust.
The entire Hive & Hadoop ecosystem CDU is best at…
Apart from HiveQL, the most engagement spread across the wider stack supporting data warehousing on Hadoop — from the Hive Meta-store through to your BI layer.
We bring together the right products and platforms for your needs, from XM Cloud and Sitecore CMS to Sitecore Search, Personalise, CDP, Content Hub and OrderCloud. Our capabilities also extend across Next.js, ReactJS and SXA, supported by Azure, Docker, Kubernetes and CI/CD pipelines, keeping your Sitecore environment aligned with your business goals and future growth.
Benifit’s the Services
Get the right Hive stack, tailored to your data warehousing needs.
Flexible Hive architecture
Scalable data warehousing
Optimised query performance
Connected Hadoop ecosystem
Query & Compute
HiveQL Tez execution engine MapReduce Hive LLAP
Storage & Metadata
Hive Meta-store HDFS ORC Parquet
Hadoop Ecosystem
Hadoop Spark Sqoop Kafka
BI & Analytics
Tableau → Power BI Looker
Let us explain How Our Apache Hive engagement process works with guaranteed success ratio.
A well-organized and smartly structured path from first health check to fully managed operations.
Hive health check
Optimisation or migration roadmap
Build & tune
BI integration & handover
Hey 👋 I am Gokul, Sr. Business Consultant
Let's talk about your growthBespoke Hive expertise inside a full-stack Big Data practice.
The team of Apache Hive engineers at CDU is well-versed with full-stack Big Data practice along with Hive Meta-Store consulting in Australia with a broader Big Data services ranging from Spark, Kafka, MongoDB to Cassandra. So, when your workload is genuinely found better fit for Spark SQL than Hive, we won’t hesitate to tell you the right, rather than force-fitting everything in one engine.
What changes after an OCI engagement
The following figures depict the typical ranges our clients have reported to us across our latest engagements, not guarantees. In fact, your results depend much on the point where we start from.
User Training
60%
Faster OnboardingIntegrations
130+
Dealerships ConnectedOperations
99.9%
Platform Availability
Choose how you want to start
Org Health Check
Audit your existing org to find quick wins before investing further.
- Full architecture review
- Security & compliance audit
- Performance analysis
- Recommendations report
Implementation
POPULARFull cloud setup from scoping to go-live with fixed-price delivery.
- Sales or Service Cloud Core
- Custom Apex / LWC logic
- Full data migration & QA
- Comprehensive user training
Managed Services
Dedicated admin support without the overhead of a full-time hire.
- 24/7 technical helpdesk
- Automation & workflow shifts
- Release and health compliance
- Config and report build-outs
Trusted by Businesses.
Backed by Results.
Real partnerships. Honest feedback. See why organisations across Australia trust Cloud Downunder to design, build, and support their digital products.
Top B2B Company
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out of 5
Verified Google Reviews
4.8
out of 5
Top Software Development Company
4.8
out of 5Frequently Asked Questions
Everything you need to know about Cloud Downunder's services, process, and Australian-local approach.
Still have questions?
We're here to help. Reach out directly and our specialists will respond within 2 business hours.
Apache Hive is a data warehouse system built on top of Hadoop that lets teams run SQL-like querying over distributed data using HiveQL, without writing raw MapReduce code, making large-scale data warehousing on Hadoop accessible to SQL-literate analysts.
Hive is generally the better fit for large, scheduled batch queries and existing Hadoop-based data warehouses, while Spark SQL is faster for interactive and iterative workloads. Many Australian organisations run both side by side, using Hive for governed reporting and Spark for exploratory analytics — we can assess which fits each of your workloads.
Most engagements start with a fixed-price Hive health check that identifies the highest-impact tuning opportunities — partitioning, bucketing, file format and execution engine changes — before a larger optimisation or migration project is scoped and quoted.
Yes. We plan and execute Hive to cloud data warehouse migrations, including moving to managed Hive on cloud Hadoop platforms or re-platforming to cloud-native warehouses, with a structured data validation and parallel-run process.
Yes. Our Hive Metastore consulting covers schema governance, metadata cleanup, access control and Metastore performance tuning, so your Hive Metastore stays a reliable source of truth as your warehouse grows.
Yes. Hive integrates with BI tools including Tableau and Power BI via standard ODBC/JDBC drivers, allowing analysts to query Hive tables directly from their existing dashboards. We handle the connector setup, performance tuning and semantic layer design for this integration.
Yes. Our managed Hive support covers cluster and Metastore administration, query performance monitoring and ongoing optimisation on a monthly retainer, supported during Australian business hours.
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Reach us via the contact form, email, or phone. We'll connect you with the right expert.
What support do you offer?
From strategy and design to development, cloud, AI, and ongoing support we're with you every step.
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We typically respond to all enquiries within 1 business day.
