Sold by: StarTree Inc
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Deliver fast, fresh insights to your end-users with our easy-to-use analytics platform, built by the original authors of Apache Pinot.
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Overview
StarTree Cloud is a fully-managed user-facing real-time analytics platform designed for OLAP at massive speed and scale. Trusted by companies like Stripe, SOVRN, Razorpay, StarTree cloud offers an enterprise grade, fully managed service around Apache Pinot.
StarTree Cloud offers unique features like UPSERTS, Tiered Storage that help improve performance and reduce operational burden for users looking to build real time analytics applications. Our Data Ingestion Service allows users to easily bring their data from their a varied range of data sources:
Streaming sources -Apache Kafka -AWS MSK -Confluent -Red Panda
Object Stores -AWS S3 -Delta Lake -Data Warehouses -RedShift -Snowflake
StarTree cloud now offers a free tier that is available for development purposes, that is free forever. We also offer two more tiers of pricing options to make it easy for users to consume the cloud service fitting within the users needs and budget.
Free Tier A logically isolated workspace with bust capacity (up to 10 vCPUs) and 100GB storage. Perfect for development and prototyping. Deployment is on a single Availability Zone (AZ) using the public network with SSL2 authentication.
Standard Tier Starting at $999/month billed annually (or $1249/month with monthly billing and no commitment). Provides 5 StarTree compute units (STU), and 1 TB of storage. Users can add more compute or storage capacity to their cluster based on their workload needs. This production-ready cluster is deployed across 2 AZs, and allows for VPC peering and private links. This cluster includes a 99.9% uptime SLA and standard support.
Premium Starting at $3999/month with annual billing. Provides 15 StarTree compute units and 3 TB storage. Users can add more compute or storage capacity to their cluster based on their workload needs. Additional capacity is billed at the same rate. This production-ready cluster is deployed across multiple (3 or more) AZs, and allows for VPC peering/private links. This cluster comes with a 99.9% uptime SLA and premium support.
Bring Your Own Cloud (BYOC) StarTree offers an industry best BYOC offering for customers with strict compliance requirements around Data Privacy and Isolation. Please contact StarTree Sales if you prefer to leverage our BYOC offering.
Additional Services Contact StarTree Sales (https://startree.ai/contact-us ) if you wish to provision additional capacity and customize your cluster deployment, or if you wish a BYOC deployment or enterprise pricing.
Highlights
- StarTree Cloud is a fully integrated, cloud-native managed Database-as-a-Service (DBaaS) based on Apache Pinot
- Includes enterprise-ready advanced capabilities to ingest, store, query, and analyze data at scale
- Integrates seamlessly and securely into your existing event streaming and data warehouse architectures
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Dimension | Description | Cost/month |
|---|---|---|
StarTree Free Tier | Burstable to 10 CPU, 100GB storage, single (AZ) w/SSL2 authentication. | $0.00 |
StarTree Cloud Standard | StarTree Compute Unit (STU) with standard support | $1,249.00 |
StarTree Cloud Premium (annual only) | StarTree Compute Unit (STU) with premium support | $3,999.00 |
Dimension | Cost/unit |
|---|---|
StarTree Compute Unit (STU) | $225.30 |
Each StarTree Data Unit is equal to 1 gigabyte (GB) of storage | $0.23 |
Each Tiered Storage Data Unit is equal to 1 gigabyte (GB) of storage | $0.04 |
Dimensions summary
This listing bills through a contract with two layers. First, you buy usage metrics: StarTree Compute Units (STU) for processing, StarTree Data Units for storage, and Tiered Storage Data Units for storage held on cloud object storage. Each Data Unit equals 1 GB. Second, you can choose a packaged edition. The Free Tier bursts to 10 CPU and 100GB in a single availability zone. Standard includes 5 STU, 1TB storage, and two zones. Premium, sold annually only, includes 15 STU, 3TB storage, multiple zones, and premium support. Editions scale up compute, storage, and support together.
Top-of-mind questions for buyers
An STU is a unit of processing capacity for query and ingestion work. Data Units and Tiered Storage Data Units each measure storage in 1 GB increments. Compute and storage charges bill independently and add together. Compute usually drives cost for high-concurrency query workloads; storage dominates when you retain large data volumes.
Both measure 1 GB of storage. Standard Data Units keep data on local disk or SSD coupled to compute nodes. Tiered Storage Data Units hold data on cloud object storage, which you query directly without moving it. You can split data across both by age, keeping recent data local and older data on object storage.
Each edition includes set amounts of compute and storage. When you need more, you add STUs, Data Units, or Tiered Storage Data Units through the usage metrics. These extra units bill on top of the edition. You can also move to an edition that bundles more compute, storage, and support together.
docs.startree.ai
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Support
Vendor support
StarTree Cloud - Enterprise-grade Fully Managed Real-time Analytics Email for support support@startree.ai
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Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
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Negative reviews
AI generated from product descriptions
Real-time OLAP Analytics Engine
Fully-managed analytics platform built on Apache Pinot designed for OLAP operations at massive speed and scale with real-time data processing capabilities
Data Ingestion Service
Supports ingestion from multiple streaming sources including Apache Kafka, AWS MSK, Confluent, and Red Panda, as well as object stores including AWS S3, Delta Lake, and data warehouses such as Redshift and Snowflake
Advanced Data Management Features
Includes UPSERTS functionality and Tiered Storage capabilities to optimize performance and reduce operational overhead
Multi-Availability Zone Deployment
Production-ready clusters deployed across multiple Availability Zones with VPC peering and private link support for secure integration into existing architectures
Database-as-a-Service Architecture
Cloud-native managed service providing enterprise-grade infrastructure with automated management, scaling, and maintenance of the analytics platform
Sub-Second Query Response Times
Interactive analytics capability delivering sub-second query response times for rapid data visualization and exploration
High Concurrency Query Processing
Architecture supporting 100s to 100,000+ queries per second for high-concurrency analytics applications
Streaming and Batch Data Integration
Native integrations with Apache Kafka and AWS Kinesis for processing streaming and batch data with low latency and data quality assurance
Cluster Management and Operations
Cluster management capabilities including rolling updates, backup, disaster recovery, and customizable alerts for database operations
Performance Monitoring and Optimization
Built-in performance monitoring tools for troubleshooting and optimizing resource utilization across deployments
Distributed SQL Database Architecture
Fully managed, distributed SQL database with lock-free cloud-native architecture designed for transactional (OLTP) and analytical (OLAP) workloads
High-Throughput Data Ingestion
Parallel, distributed lock-free ingestion capable of processing millions of events per second with real-time query processing on billions of rows
Vector Search Capabilities
Indexed vector search with full-text search capabilities integrated into the database engine for generative AI applications
Concurrent User Scalability
Cloud-native architecture supporting tens or hundreds of thousands of concurrent users with super-low latency query performance
Unified Workload Processing
Single engine capable of powering high-performance transactional, analytical, and vector workloads simultaneously without requiring data movement
Standard contract
No
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Customer reviews
reviewer2783514
Real-time analytics have improved data processing speed and reduced query calls
Reviewed on Dec 02, 2025
Review from a verified AWS customer
What is our primary use case?
My main use case for StarTree is for data processing. As a specific example of how I use StarTree for data processing, we divide different data into the star and then call StarTree. I use StarTree for real-time analytics.
What is most valuable?
I think the best features StarTree offers is the charting. What stands out to me about the charting feature is the speed. StarTree has positively impacted my organization because it's open source, and it lowered the calls and the speed. When I say it lowers the calls, I mean it reduces the number of queries or API calls.
What needs improvement?
StarTree could be improved with better support, as I think it would be better to have a quicker response when we raise an issue. I think you are doing great.
For how long have I used the solution?
I have been using StarTree for one year.
What do I think about the stability of the solution?
StarTree is stable.
What do I think about the scalability of the solution?
I think StarTree's scalability is pretty good; you can set up the EC2 better with auto scaling.
How are customer service and support?
The customer support is good. On a scale of one to 10, I would rate the customer support as 10.
How would you rate customer service and support?
Positive
Which solution did I use previously and why did I switch?
I used Kinesis, AWS, before StarTree. I switched to StarTree because it is open source and much cheaper.
What's my experience with pricing, setup cost, and licensing?
I'm not sure about pricing, setup cost, and licensing because I'm just a developer.
Which other solutions did I evaluate?
I did not evaluate other options before choosing StarTree.
What other advice do I have?
I provided a review rating of 10. My company does not have a business relationship with this vendor other than being a customer.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Computer Software
Effortless Real-Time Analytics with Blazing Speed and Scalability
Reviewed on Nov 29, 2025
Review provided by G2
What do you like best about the product?
StarTree makes real-time analytics easy by combining Apache Pinot’s speed with a managed, cost-efficient platform. It offers sub-second queries, seamless streaming ingestion, tiered storage, and powerful pre-aggregations, making large-scale user-facing analytics fast and affordable.
What do you dislike about the product?
StarTree can be costly, has some vendor lock-in, needs tuning for advanced features, and has a learning curve for teams new to real-time OLAP systems.
What problems is the product solving and how is that benefiting you?
StarTree solves the challenge of getting fast, real-time analytics at scale from streaming data. It handles high-volume ingestion, sub-second queries, and cost-efficient storage. This benefits me by enabling instant insights, smoother dashboards, and better user-facing analytics without managing complex Pinot infrastructure.
Graphic Design
Blazing-Fast Real-Time Analytics with Intuitive UI
Reviewed on Nov 19, 2025
Review provided by G2
What do you like best about the product?
StarTree offers extremely fast, real-time analytics at scale. I like how easy it is to explore large datasets with low-latency queries, and the platform is reliable even during high-traffic workloads. The UI is intuitive, and the ability to onboard data quickly makes it very efficient for analytics teams.
What do you dislike about the product?
Some configuration steps can feel complex for new users, especially when fine-tuning performance or managing ingestion pipelines. At times, the documentation could provide clearer examples. Initial setup also requires some learning curve, but once configured, it works smoothly.
What problems is the product solving and how is that benefiting you?
StarTree helps us handle large volumes of data and run real-time analytical queries with very low latency. It solves the problem of slow dashboards and delayed insights, allowing teams to make faster decisions and improve user experience. The performance and scalability have made our analytics much more efficient.
Computer Software
Powerful Real-Time Analytics with Intuitive Interface and Seamless Scalability
Reviewed on Nov 14, 2025
Review provided by G2
What do you like best about the product?
StarTree provides robust analytics features with real-time performance, enabling quick insights even when working with large datasets. The user interface is designed to be intuitive for both technical and business users, which simplifies onboarding and everyday use. Additionally, the platform’s extensive integration options and scalability make it well-suited to accommodate expanding data requirements.
What do you dislike about the product?
Setting up the system initially may demand a significant level of technical knowledge, particularly when dealing with more complex integration scenarios. At times, I find the documentation lacks sufficient detail, and support for less typical use cases seems somewhat restricted. Additionally, as data volume and user numbers increase, pricing can become a notable concern.
What problems is the product solving and how is that benefiting you?
StarTree enables efficient real-time analytics on massive datasets, eliminating delays in accessing insights for both technical and business users. This helps my team track user behavior trends swiftly and optimize decision-making, which is critical for improving our products and services. It also reduces the complexity of maintaining separate analytics infrastructure, freeing up resources for core development and innovation.
Computer Software
Columnar database of StarTree makes real-time analytics really easy
Reviewed on Apr 28, 2025
Review provided by G2
What do you like best about the product?
It handles massive amounts of data and still gives super fast query results. I like that it’s built on Apache Pinot but adds extra features that make setup, scaling, and management a lot smoother.
What do you dislike about the product?
The learning curve can be a little steep at first, especially when figuring out indexing and tuning performance. But once you get the hang of it, it’s worth it.
What problems is the product solving and how is that benefiting you?
We needed a real-time analytics solution for user-facing dashboards, and StarTree nailed it. It helps us query huge datasets in seconds, without worrying about performance drops as we scale.