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Amazon DynamoDB vs Apache Pinot: Pricing and Ratings Compared (2026)

Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Amazon DynamoDB and Apache Pinot side by side. This page compares data; it is not a hands-on review.

On the data: On the data below, Apache Pinot leads on a free plan. We do not name an overall winner for this pair.

Data comparison compiled by Toolradar, not hand-reviewed Methodology
Data comparison 529 user reviews compared Pricing checked Oct 1, 2026

Short on time? Here's the quick answer

Based on published vendor pricing and features and on public review data, here's who should pick what:

Amazon DynamoDB

Serverless NoSQL database with single-digit millisecond latency

Apache Pinot

Unlock real-time insights from petabyte-scale data with ultra low-latency analytics.

Best for you if:

  • • You want a fully free tool (Amazon DynamoDB requires payment)
At a glance: Amazon DynamoDB vs Apache Pinot
At a Glance
Amazon DynamoDB Amazon DynamoDB
Apache Pinot Apache Pinot
Starts at
Not published
Free 100% free
Category
Data & Databases Cloud & Infrastructure
Data & Databases Big Data Analytics
Rating
4.4/5 G2 4.4 529 reviews n/a
Free plan
No Yes

Choose Amazon DynamoDB or Apache Pinot?

Amazon DynamoDB

Choose Amazon DynamoDB if

  • You need data & databases features specifically.
Apache Pinot

Choose Apache Pinot if

  • You want a fully free tool (Amazon DynamoDB requires payment)
  • You want a tool that provides ultra low-latency analytics on large datasets

In-Depth Analysis

Amazon DynamoDB Amazon DynamoDB

Serverless NoSQL database with single-digit millisecond latency

Good value

DynamoDB's pricing is generally fair, especially with the generous Free Tier and the upcoming 50% price reduction in Jan 2025.

Strengths

  • Pro: Fully managed NoSQL
  • Pro: Single-digit millisecond latency
  • Pro: Scales automatically
  • Pro: Serverless option
  • Pro: Global tables

Weaknesses

  • Con: Pricing complex
  • Con: Query limitations
  • Con: No joins or complex queries
  • Con: Vendor lock-in
  • Con: Learning curve for data modeling

Key features

NoSQL database Serverless Single-digit latency Auto-scaling Global tables AWS

Apache Pinot Apache Pinot

Unlock real-time insights from petabyte-scale data with ultra low-latency analytics.

Strengths

  • Pro: Provides ultra low-latency analytics on large datasets.
  • Pro: Highly scalable and fault-tolerant for demanding workloads.
  • Pro: Supports both real-time streaming and batch data ingestion.
  • Pro: Offers a wide range of indexing options for performance optimization.
  • Pro: Standard SQL interface makes it accessible for data professionals.

Weaknesses

  • Con: Requires technical expertise for setup and management.
  • Con: As an open-source project, enterprise-grade support might require third-party vendors or community engagement.

Key features

Fast Queries (P90 latencies in tens of milliseconds) High Concurrency (hundreds of thousands of concurrent queries per second) Batch and Streaming Ingest (from Kafka, Pulsar, Kinesis, Hadoop, Spark, S3) Upserts (handle record updates efficiently) Versatile Joins (fact/dimension and fact/fact joins) Rich Indexing Options (timestamp, inverted, StarTree, Bloom filter, range, text, JSON, geospatial)

Plans and prices: Amazon DynamoDB vs Apache Pinot

Plans and prices of Amazon DynamoDB and Apache Pinot, as read on each vendor's pricing page. Each plan keeps its own billing unit.
Tool Plans and prices Source
Amazon DynamoDB
  • Free Tier: Usage-based, one-time or minimum-commitment pricing
  • On-Demand: Usage-based, one-time or minimum-commitment pricing
  • Provisioned: Usage-based, one-time or minimum-commitment pricing
aws.amazon.com/dynamodb/pricing read Oct 1, 2026
Apache Pinot No plan prices on file pinot.apache.org

Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Amazon DynamoDB pricing and Apache Pinot pricing.

Key Takeaways

Amazon DynamoDB

  • Worth considering for data & databases

Apache Pinot

  • Has a free plan

What the data shows

On the data below, Apache Pinot leads on a free plan. We do not name an overall winner for this pair.

  • Only Amazon DynamoDB has a published user rating (4.4/5 from 529 reviews); Apache Pinot has none we can show.
  • Only Apache Pinot has a free plan.

Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate

Frequently Asked Questions

How do Amazon DynamoDB and Apache Pinot compare in 2026?

On the data below, Apache Pinot leads on a free plan. We do not name an overall winner for this pair. Only Amazon DynamoDB has a published user rating (4.4/5 from 529 reviews); Apache Pinot has none we can show. Only Apache Pinot has a free plan.

What are Amazon DynamoDB and Apache Pinot used for?

Amazon DynamoDB: Serverless NoSQL database with single-digit millisecond latency. Apache Pinot: Unlock real-time insights from petabyte-scale data with ultra low-latency analytics.

What does Amazon DynamoDB cost vs Apache Pinot?

Amazon DynamoDB has no public paid-plan price on file. Apache Pinot is free. Prices read on the vendors' pricing pages, latest check Oct 1, 2026.

What's the main difference between Amazon DynamoDB and Apache Pinot?

Amazon DynamoDB's main strength: fully managed NoSQL. Apache Pinot's main strength: provides ultra low-latency analytics on large datasets.

Spotted an outdated price or a wrong fact? Suggest a correction: we check it against the vendor's own page. Work for one of these vendors? Claim your listing to update it yourself.

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