6 Open Source Alternatives to MongoDB

A list of 6 carefully selected open-source alternatives to MongoDB.

Adrian
Created by
Adrian
Mar 9, 2025Updated7 min read

The open-source alternatives are ranked based on our custom ranking system and score. This system takes into account various factors to determine the best alternatives.

If you’re looking for alternative features or workflows, here is a prepared detailed list of MongoDB open-source alternatives — each with its own distinctive strengths and key features.

#1
TiDB logo

TiDB

38,050
5,900

TiDB is an open-source, distributed SQL database built for modern, cloud-native applications. It offers infinite scalability with a serverless model, empowering developers to manage dynamic workloads effortlessly while reducing operational complexity.

TiDB screenshot

Key Features

  • Auto-scaling from zero to petabytes
  • Fully managed serverless architecture
  • AI-assisted SQL query generation
  • Seamless branching and low-code data service
  • Integrated monitoring for performance insights

TiDB Cloud Serverless provides a fully managed, auto-scaling SQL database designed for unpredictable workloads. Its architecture enables non-blocking schema changes, high-performance analytical queries, and effortless integration with modern stacks. Advanced features include an AI-assisted SQL Editor, branching capabilities, a low-code data service, and built-in monitoring. A generous free tier offers 25GiB storage with 250 million reads, with a pay-as-you-go model for additional usage.

#2
Activeloop logo

Activeloop

8,453
651

Activeloop is an enterprise-grade database for AI that simplifies managing multi-modal data. It stores and queries images, videos, texts, vectors, and more, enabling developers to build high-performance machine learning applications with real-time data streaming and version control.

Activeloop screenshot

Key Features

  • Stores multi-modal data including images, texts, videos, and vectors
  • Real-time data streaming to ML frameworks
  • Serverless tensor query engine with natural language support
  • Dataset visualization and version control
  • Integrates with LangChain, PyTorch, TensorFlow, and more
  • SOC 2 Type 2 certified for data security

The tool provides a tensor-based database optimized for deep learning pipelines. Activeloop enables seamless data ingestion, querying, visualization, and version control for unstructured data. It integrates with frameworks like PyTorch, TensorFlow, and LangChain, and supports natural language queries and serverless tensor queries to improve retrieval accuracy.

#3
SlateDB logo

SlateDB

1,829
94

SlateDB is a cloud native embedded storage engine built on object storage. It leverages the high durability of object stores with a zero-disk design that eliminates hardware failures, making it ideal for modern development environments. Designed for ease of integration, SlateDB offers configurable performance to address latency, cost, or durability needs.

SlateDB screenshot

Key Features

  • 99.999999999% durability inherited from object storage
  • Zero-disk architecture for no hardware failures
  • Simple replication leveraging object store replication
  • Configurable performance for low latency, cost, or durability
  • Scalable readers with zombie writer fencing
  • Built in Rust for cross-language integration

SlateDB harnesses your object store's 99.999999999% durability while operating without disks, thus eliminating failures and corruption associated with traditional hardware. It simplifies replication by relying on the object store's mechanisms and provides tunable performance configurations to optimize for low latency, cost, or high durability. The engine supports one writer with multiple readers, including features to detect and fence zombie writers, and is built in Rust for versatile language support.

#4
Memgraph logo

Memgraph

2,687
138

Memgraph is an open-source graph database engineered for dynamic analytics environments. It delivers high-performance real-time data processing with an easy-to-adopt platform that scales to meet enterprise demands.

Memgraph screenshot

Key Features

  • High-performance in-memory storage engine
  • Real-time analytics with over 1,000 transactions per second
  • Flexible deployment options: Community, Enterprise, and Cloud editions
  • Built-in support for data streaming and vector search
  • Transparent and scalable pricing model with support included

Memgraph powers real-time analytics with an in-memory storage engine optimized for high-velocity environments handling thousands of transactions per second. Supporting data streaming, vector search, and advanced graph computations, it offers a versatile platform catering to community developers and enterprise users alike. With straightforward installation, direct support channels, and scalable architecture, Memgraph seamlessly integrates into modern data infrastructures.

#5
O

OceanBase

8,970
1,720

OceanBase is an enterprise distributed relational database that offers high availability, high performance, horizontal scalability, and full SQL compatibility. Trusted by industry leaders, it powers mission-critical workloads across multi-cloud, on-premises, and hybrid environments.

OceanBase screenshot

Key Features

  • Enterprise-grade distributed relational architecture
  • High availability with zero RPO and RTO under 8 seconds
  • Elastic scalability across horizontal, vertical, and tenant dimensions
  • 100% ACID compliance with strong transactional support via Paxos protocols
  • Unified support for OLTP, OLAP, and AI workloads with multi-model data handling
  • Cost-effective operations with advanced compression and multi-tenancy

OceanBase powers mission-critical applications through unparalleled query performance, 100% ACID compliance, and robust distributed transactions using multi-replica synchronization. It simplifies data management by unifying OLTP, OLAP, and AI workloads in one system, while offering elastic scalability and automatic disaster recovery for zero downtime. Its multi-model support—including SQL, NoSQL, XML, and JSON—streamlines architecture and reduces storage costs with advanced compression.

Price comparison of MongoDB open-source alternatives

ToolTier 1Tier 2Details
TiDB logo
TiDB
-
Free Tier and Pay-As-You-Go
-Learn more
Activeloop logo
Activeloop
$99
Pro
-
Enterprise
Learn more
Memgraph logo
Memgraph
$25000
Enterprise Edition
-Learn more
OceanBase
-
Dedicated Plan
-
Self-hosted
Learn more

* Pricing shown is based on publicly available information and may not reflect current rates. Visit each tool's website for detailed pricing information and additional tiers.

About MongoDB

MongoDB is a leading software company based in the United States that specializes in developing and providing database management solutions. The company was founded in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan. MongoDB's headquarters are located in New York City, New York. The company offers a range of products and services centered around their flagship database management system called MongoDB. This NoSQL database allows for the storage and retrieval of data in a flexible and scalable manner. MongoDB's products include MongoDB Atlas, a fully managed cloud database service, and MongoDB Stitch, a serverless platform that simplifies the creation of applications utilizing MongoDB. MongoDB operates on a global scale, serving customers in various industries such as financial services, healthcare, ecommerce, and technology. The company has notable subsidiaries and partnerships, including collaborations with major cloud providers like Amazon Web Services, Google Cloud, and Microsoft Azure, allowing for seamless integration of MongoDB's services into their respective cloud platforms. In terms of market position, MongoDB has gained significant traction in the database management industry. Its user-friendly approach, scalability, and flexibility have made it a popular choice for developers and businesses alike. MongoDB's global sales have been on the rise, and the company has emerged as a strong competitor to traditional relational databases. MongoDB has achieved several milestones and successes throughout its history. In 2017, the company went public and had a successful initial public offering (IPO). This marked a significant achievement in the company's growth and provided it with additional capital to expand its operations and develop new products. As of the latest information available, MongoDB continues to innovate and expand its product offerings. The company actively keeps up with market trends and customer demands, regularly providing updates and introducing new features to enhance its database management solutions. Additionally, MongoDB continues to form strategic partnerships and collaborations to strengthen its global presence and market position. Overall, MongoDB is a leading player in the database management industry, offering innovative solutions and services that cater to the evolving needs of businesses worldwide.
This comparison data was compiled with AI assistance.
MongoDB logo

MongoDB

The developer data platform that provides the services and tools necessary to build distributed applications fast, at the performance and scale users demand.

Employees

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Location

New York, United States

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