Starburst Consulting & Support

Starburst Consulting & Services for Enterprises

AceMQ engineers design federated query architectures on Starburst (Trino) that let enterprises query data lakes, warehouses, and operational databases in place — without a costly consolidation project. Every engagement is staffed by a named senior engineer.

A senior engineer, not an SDR. No sales sequence attached.

Senior SMEs
11+
Emergency SLA
<15min
Customers
160+
Countries Served
26+

Without consolidating every source into a single warehouse firstFor production incident cover, see AceMQ Starburst 24/7 support.

Customers

  • Microsoft
  • Henry Schein
  • Enbridge
  • Gojek

Partners

  • Broadcom
  • Redis
  • VMware Tanzu
  • OSSeva

The Problem

Why teams call us about Starburst

Seven Starburst problems that teams bring to AceMQ, from joins that pull whole tables across the network and pushdown that works on one connector but not another, to workers that run out of memory and one analyst's query taking the cluster down. If one sounds familiar, the review starts there.

  1. 01

    A query joining two connectors pulls whole tables across the network before filtering them

  2. 02

    Predicate and aggregate pushdown works on one connector and silently does not on another

  3. 03

    Workers run out of memory on a join the planner sized optimistically

  4. 04

    The Hive metastore holds stale partitions and queries read files that no longer exist

  5. 05

    One analyst's unbounded query takes the cluster down for everybody else

  6. 06

    Cluster sizing was set during a proof of concept and never revisited for real concurrency

  7. 07

    Catalog permissions differ from the permissions enforced on the underlying sources

  8. 08

    Enterprise licensing is being paid on worker nodes that sit idle most of the day

A good fit if you run Starburst Enterprise or Trino in production over several data sources and want senior engineers who read EXPLAIN ANALYZE output, resource group settings and connector behaviour, whether you are tuning, federating further or keeping a cluster past its support window.

Not a fit for small teams with non-critical workloads. AceMQ is not a budget consultancy: we work with enterprises running business-critical and compliance-heavy Starburst.

Running Starburst in production? Get a quote from a senior engineer, answered within one hour.

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How it breaks, and the fix

What happens when one Trino worker gets the whole join?

Trino spreads a join across workers by hashing the join key. When a few keys hold most of the rows, one worker receives them, exceeds its per-node memory limit and fails the whole query while the other workers sit idle. Adding workers does not make that query faster.

One hot key, one overloaded worker

Source catalogs, three workers, one exchange, one result

Illustrative

  1. Rows spread evenly across the three workers. Each stays well under query.max-memory-per-node and the result returns in seconds.

  2. A few customer keys hold most of the rows. Worker 2 receives all of them and hits its per-node memory limit, so the query fails, or crawls if spill is on, while workers 1 and 3 finish and wait. The dashboards behind it time out.

  3. The small side of the join is broadcast and table statistics let the planner choose the join order, so no single worker holds the hot keys. A resource group caps what that query can take. Memory stays level across workers.

Workers killed for memory under one wide join is one of the incidents that most often pages Starburst teams. The fix starts with EXPLAIN ANALYZE: rows and memory per stage and per worker. Then table statistics so the planner picks the right join order, a broadcast join for the small side, dynamic filtering, spill or fault-tolerant execution where the workload allows, and resource groups so one query cannot take the cluster. AceMQ also checks that pushdown is happening, since less data moved means less memory needed.

Our Services

Starburst Consulting & Services

AceMQ runs five Starburst service lines: federated query architecture, connector and query performance tuning, migration to a federated model, managed operations and a cluster health check. A senior engineer leads each one, and any of them can roll into 24/7 support with a 15-minute emergency SLA.

  • 01

    Federated Query Architecture

    We design Starburst deployments that query across your data lake, warehouse, and operational stores in place — no ETL pipeline required to answer a cross-source question.

    • Catalog architecture spanning S3/ADLS data lakes, Snowflake, PostgreSQL, and operational databases
    • Iceberg, Delta Lake, and Hive catalog configuration with metastore integration
    • Cluster topology design: coordinator/worker sizing and fault-tolerant execution mode
    • Data product and domain-based catalog organization for self-serve analytics teams
  • 02

    Connector & Query Performance Tuning

    A federated query is only as fast as its slowest connector. We tune pushdown behavior and cluster capacity so cross-source joins don't collapse under concurrent BI load.

    • Predicate and aggregate pushdown configuration per connector to minimize data movement
    • Dynamic filtering and join reordering tuning for large fact-to-dimension joins
    • Cluster capacity planning for concurrent Tableau/Power BI workloads
    • Cost-based optimizer statistics collection and catalog-level caching configuration
  • 03

    Migration to a Federated Query Model

    Moving from a fully centralized warehouse to a federated model changes your ingestion, governance, and cost profile. We plan the transition — and tell you honestly when it isn't the right move.

    • Workload assessment to determine which queries benefit from federation vs. consolidation
    • Phased migration from central warehouse ETL to virtualized cross-source queries
    • Cost comparison modeling: federation query cost vs. full data movement and duplication
    • BI tool repointing and semantic layer redesign for federated data sources
  • 04

    Managed Starburst Operations

    Ongoing operational ownership of your Starburst cluster — capacity, connector health, and query governance — so cross-team query access doesn't become a support burden.

    • 24/7 cluster monitoring for worker failures, queueing, and connector timeouts
    • Access control and row/column-level security governance across federated sources
    • Connector upgrade and compatibility management as source systems change
    • Query governance: resource groups, queueing policies, and cost attribution by team
  • 05

    Starburst Health Check & Assessment

    A structured review of your Starburst deployment — cluster capacity, connector configuration, and query patterns — with a clear recommendation on where federation is paying off and where it isn't.

    • Cluster utilization and worker sizing review against actual concurrent query load
    • Connector pushdown audit to identify queries pulling unnecessary data across the network
    • Query pattern analysis to flag workloads that would perform better fully consolidated
    • Security and governance review across federated catalog access
  • 15 MIN SLA

    24/7 Starburst Support

    Named senior engineers on your account — 15-minute emergency response, no ticket routing, no junior triage.

    • 15-minute emergency response SLA
    • Named engineer, zero cold-start
    • Proactive CVE & health monitoring
    • Quarterly deployment reviews
    Compare the four Starburst support tiers

Want AceMQ to take this off your team's plate? Tell us about your Starburst estate.

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24/7 Support

Starburst Support When It Matters Most

AceMQ Starburst support gives you named senior engineers and a 15-minute first response when production is down, 24/7. Lower severities get 1-hour, 4-hour and next-day responses. The same tiers apply to Starburst Enterprise and open-source Trino clusters.

  1. 15 minfirst responseEmergencyProduction down, messages not flowing, queue manager failure
  2. 1 hourfirst responseCriticalSevere degradation, high error rates, approaching capacity
  3. 4 hoursfirst responseHighPerformance issues, configuration problems, non-critical failures
  4. Next Dayfirst responseStandardQuestions, guidance, best practices, non-urgent improvements

P1 escalation path

A replay of one P1, from the first page to the written root-cause analysis

SLA 15:00
T+Elapsed15:00
Engineer on your bridge

15-minute P1 response, 24/7.
A response time, not a resolution time.

  1. T+00:00

    P1 opened, on-call engineer paged

    Phone, email or Slack reaches the on-call senior engineer directly, whether the incident is in RabbitMQ, Kafka, Redis, PostgreSQL or Kubernetes. No web form, no tier-1 queue.

    Paged
  2. T+15:00

    Senior engineer on your bridge

    A senior engineer who already knows your environment joins a live bridge, so nobody has to re-explain your topology.

    Live
  3. T+30:00

    Specialists across the stack join

    When an incident crosses components, the engineers who know each one join. For RabbitMQ, the path runs to the core team.

    If needed
  4. After

    Written root-cause analysis

    Root cause, the fix applied and the prevention steps, delivered after every P1.

    Every P1

How Our Support Actually Works

Beyond SLAs — the model behind senior-only, zero-cold-start expert access.

  • Named Engineers on Your Account

    Every ticket is handled by a senior SME assigned to your account — not a pool of anonymous agents. Zero cold-start. No re-explaining your environment.

  • Live Escalation on Any Ticket

    Any ticket can be escalated to a live session with your named engineer via calendar booking. No gatekeeping, no approval required — direct access, always.

  • Proactive Risk Mitigation

    Quarterly health checks on your deployment plus shared intelligence from 50+ support customers — we surface risks before they reach production.

  • Critical Bug & CVE Intelligence

    Proactive alerts on critical bugs and CVEs affecting your exact version, with version compliance monitoring so you're never caught off guard.

Compare Starburst support plans

How It Works

What actually happens next

A Starburst engagement with AceMQ runs in four stages: a cluster and catalog review of 1 to 2 weeks, written findings within a week, changes made with your engineers catalog by catalog, then a handover with runbooks. Each stage ends in writing, so your team sees what changes and why first.

1–2 weeks

Cluster and catalog review

We look at connector configuration and what genuinely pushes down, query plans for the workloads that matter, worker sizing and memory settings, resource groups, and how catalog permissions line up with the sources behind them.

Within a week

Written findings and plan

Which queries move data they should not, where a connector limitation is the real constraint, and what to change first. Sized for your own engineering leadership to sign off.

Scoped per engagement

Implementation alongside your team

Connector, resource group and sizing changes applied incrementally, with query timings compared before and after so nothing regresses for another team.

Ongoing

Handover and optional cover

Runbooks for adding a catalog, tuning resource groups and scaling workers, plus 24/7 support with a 15-minute emergency SLA if you want it.

  • Written findings before any change
  • Every change staged per catalog and reversible
  • Your engineers in the room
  • You keep the runbooks
  • Ad hoc engagements or an annual partnership

A senior engineer, not an SDR. No sales sequence attached.

Customer Success

Real Starburst Results

Starburst work from AceMQ: pushdown tuning, a federation readiness assessment, a Trino worker out-of-memory fix and query latency support. Each card links to the full write-up: the environment, what AceMQ assessed or changed, and the result.

1 / 4 case studies

  • Assessment

    Starburst Federation Readiness Assessment

    Public Sector Agency

    Evaluating whether a federated query layer will actually work against a given set of source systems before the platform is committed to.

    StarburstTrinoApache HiveKerberos
    Read case study : Starburst Federation Readiness Assessment
  • Remediation

    Starburst Trino Worker OOM Remediation

    Global Payments Processor

    Stopping worker crashes caused by unbounded joins, missing spill configuration, and memory limits that do not match the concurrency the cluster actually sees.

    StarburstTrinoKubernetesDelta Lake
    Read case study : Starburst Trino Worker OOM Remediation
  • Support

    Starburst Query Latency Support

    Energy Trading Firm

    Named-engineer support for Starburst and Trino latency regressions, connector failures, and concurrency problems in production.

    StarburstTrinoApache HiveKubernetes
    Read case study : Starburst Query Latency Support
All use cases

Solutions

Every way AceMQ works with Starburst.

AceMQ covers Starburst end to end: federation consulting and migrations, 24/7 support and incident management, proactive monitoring, managed clusters on your infrastructure or on AceMQ's, cover past the LTS window, and a fixed-price health check.

Projects

Build, fix or move Starburst

Fixed-scope work led by a senior engineer: architecture and new builds, a health check of what you run today, or a migration with a reversible cutover.

Support and managed services

Keep Starburst running

Four tiers of ongoing cover once you are live. Each tier hands more of the day-to-day work to AceMQ, from a 15-minute emergency SLA to AceMQ hosting and running Starburst for you.

Compare the four Starburst support tiers

Side by side

Starburst Enterprise, Galaxy or open-source Trino: what do you run, and who supports it?

Open-source Trino is the query engine. Starburst Enterprise is a self-hosted distribution of it with added connectors, security and vendor support, and Starburst Galaxy is Starburst's fully managed service. Starburst supports each Enterprise LTS release for 12 months. Query design, connector behaviour and resource groups stay with you in all three, and that is the layer AceMQ covers.

Open-source Trino compared with Starburst Enterprise and Starburst Galaxy on who runs the cluster, support window, extras, incidents, end of support and what AceMQ adds
QuestionOpen-source TrinoStarburst EnterpriseStarburst Galaxy
Who runs the cluster?Your team, on VMs or Kubernetes.Your team, on VMs or Kubernetes, with Starburst's packages and Helm charts.Starburst runs the platform. You configure catalogs, clusters and access.
How long is a release supported?The community maintains the latest release. There is no long-term support line and no response time.LTS releases are supported for 12 months with backported critical security fixes. STS releases are supported only until the next STS.Starburst keeps the service current, so version currency is not your job.
What do you get beyond the engine?The open-source connectors and the community's documentation.Added connectors, performance features and security integrations.Managed catalogs, access controls and data products, run by Starburst.
Who answers an incident?The community, through Slack and GitHub. There is no contract and nobody to page.Starburst support for the product. Query design, connector settings and source systems stay with your team.Starburst support for the service. Query design and source-system problems stay with your team.
What happens at end of support?Nothing is announced. Old versions just stop getting fixes.An LTS release past 12 months gets no more patches, contract or not. Upgrading means reading the breaking changes between LTS releases.Not applicable, because Starburst upgrades the service.
What does AceMQ add?A named senior engineer, 24/7, with a 15-minute emergency response and a written root-cause analysis for every P1, where no vendor is behind the cluster.The same for workload, pushdown, memory and resource group problems, and for clusters that have aged out of the LTS window.The same for query design, connector and source-system problems that vendor support stops short of.

For the support options in full, read Starburst support options. To see how long Starburst and 20 other technologies get security fixes, see open source and vendor support windows compared.

Not sure which option fits? A senior Starburst engineer will scope it with you.

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One partner, not five

We Support Your Entire Tech Stack

Starburst rarely fails in isolation. AceMQ covers the full surrounding infrastructure — so one team owns the whole path instead of pointing at each other.

Messaging & Streaming

Databases & Caching

Search & Analytics

Lakehouse & Compute

Observability & Monitoring

Data Integration

Cloud & Containers

API Management

VMware Tanzu

See all 51 technologies we supportShow fewer

Guides, articles and comparisons

Go deeper on Starburst.

A guide from AceMQ engineers to Starburst support options and a comparison of how long Starburst and 20 other technologies get fixes, plus the AceMQ services for the lakehouse platforms that Starburst usually queries.

Related services

Ready to talk Starburst? Get a quote or send us a message.

Contact Us

FAQs

Starburst Questions Answered

Answers on Starburst from AceMQ: supported LTS releases and end of support, Enterprise, Galaxy or Trino, slow federated queries, worker memory errors, who answers when the coordinator fails, how an engagement starts, federation versus consolidation, and managed operations.

Still have questions about Starburst? Email an Expert

Which Starburst Enterprise releases are supported, and when does support end?

Starburst supports each Enterprise LTS release for 12 months. The supported LTS lines are 477-e until 30 November 2026, 479-e until 28 February 2027, 480-e until 31 May 2027 and 482-e until 31 August 2027. STS releases are supported only until the next STS. AceMQ supports Starburst Enterprise, including clusters that have aged out of the window.

Should we use Starburst Enterprise, Galaxy or open-source Trino?

Galaxy suits teams that want Starburst to run the platform. Enterprise suits teams that need the cluster in their own account or data centre with vendor support. Open-source Trino suits teams that accept community support. AceMQ supports Enterprise and Trino clusters and advises on the query and connector layer for Galaxy.

Why is my federated Starburst query slow?

Usually because one connector is not pushing filters or aggregations down, so Starburst pulls far more data than the query needs. A slow source system, missing table statistics and small files in a data lake are the other common causes. AceMQ reads EXPLAIN ANALYZE output connector by connector to find where the query stops being efficient.

What causes Trino workers to run out of memory?

A wide join or aggregation that exceeds query.max-memory-per-node, often because missing statistics misled the planner or a few skewed keys landed on one worker. Fixes include table statistics, a broadcast of the small side, spill or fault-tolerant execution, and resource groups. Task retries can hide an undersized heap, so AceMQ checks the working set first.

Who answers when the Starburst coordinator or a cluster fails, and how fast?

A named senior AceMQ engineer joins a live bridge within 15 minutes for a P1, around the clock, with a written root-cause analysis afterwards. AceMQ works alongside Starburst's own support: when the fault is in the product, we hand over the diagnosis, and when it is in the workload, a connector or a source system, we fix it.

How does a Starburst engagement with AceMQ start?

It starts with a scoping call, booked in our reply within 1 hour of your request, then a cluster and catalog review of 1 to 2 weeks. Written findings follow within a week. Changes are made with your engineers, catalog by catalog, each checked against previous query times, and the engagement ends with runbooks so your team keeps ownership.

Is federation better than consolidating into one warehouse?

Not always. Federation suits data that cannot or should not move, and ad hoc queries across sources. Heavy, repeated workloads on the same data often run better once consolidated into lakehouse tables. AceMQ assesses your query mix and says which workloads belong where, rather than defaulting to federation.

Should we run Starburst ourselves or have AceMQ manage it?

Run it yourself if your platform team can hold the pager and keep up with the 12-month LTS cadence. AceMQ managed operations suit teams that cannot: AceMQ runs your Starburst Enterprise or Trino clusters in your own cloud account or Kubernetes cluster, or on AceMQ infrastructure, handling upgrades, catalog changes, capacity and on-call.

Can we work with AceMQ on Starburst without a long contract?

Yes. AceMQ works on Starburst in two ways: ad hoc engagements for a defined piece of work, such as a health check, an upgrade or an incident, or an annual partner engagement that covers 24/7 support, proactive reviews and named engineers. Many teams start ad hoc and move to an annual partnership once the first engagement is done.

How much does AceMQ Starburst support or consulting cost?

Every AceMQ proposal is tailored to your requirements: your Starburst environment, the SLA you need, the hours of cover and the scope of work. Most contracts run $24,000–72,000 a year, depending on the SLA, the scope and how Starburst is deployed, with aggressive discounts when several technologies share one contract. Request a quote and AceMQ replies within 1 hour.

Let's talk

Ready to Get More Out of Your Starburst Deployment?

Whether you need emergency support, a federation vs. consolidation assessment, a migration partner, or ongoing managed operations — AceMQ staffs every engagement with a named senior Starburst engineer. Quote requests answered within 1 hour.

A senior Starburst engineer, not a sales queueAbout your clusters, not a pitch deckQuote requests answered within 1 hour

Production incident right now?Email a Starburst Architect

Get in Touch

Talk to a Starburst Expert

Send us a message and we'll follow up within 1 hour — or book a free 30-min consultation directly.

305-204-2607
info@acemq.com
66 W. Flagler St. 9th Floor
Miami, FL 33130

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