DBMS > MongoDB vs. Speedb vs. SurrealDB
System Properties Comparison MongoDB vs. Speedb vs. SurrealDB
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines
|MongoDB Xexclude from comparison
|Speedb Xexclude from comparison
|SurrealDB Xexclude from comparison
|One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
|An embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
|A fully ACID transactional, developer-friendly, multi-model DBMS
|Primary database model
|Secondary database models
Search engine integrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS Time Series Collections introduced in Release 5.0
Vector DBMS currently available in the MongoDB Atlas cloud service only
|6.0.7, June 2023
|v1.1.1, January 2024
|License Commercial or Open Source
|Open Source MongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
|Open Source Apache Version 2.0; commercial license available
|Cloud-based only Only available as a cloud service
|no MongoDB available as DBaaS (MongoDB Atlas)
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
|Server operating systems
|schema-free Although schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
|Typing predefined data types such as float or date
|yes string, integer, double, decimal, boolean, date, object_id, geospatial
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|SQL Support of SQL
|Read-only SQL queries via the MongoDB Atlas SQL Interface
|SQL-like query language
|APIs and other access methods
proprietary protocol using JSON
RESTful HTTP API
|Supported programming languages
|Actionscript unofficial driver
Clojure unofficial driver
ColdFusion unofficial driver
D unofficial driver
Dart unofficial driver
Delphi unofficial driver
Groovy unofficial driver
Lisp unofficial driver
Lua unofficial driver
MatLab unofficial driver
PowerShell unofficial driver
Prolog unofficial driver
R unofficial driver
Smalltalk unofficial driver
|Server-side scripts Stored procedures
|yes in MongoDB Atlas only
|Partitioning methods Methods for storing different data on different nodes
|Sharding Partitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
|Replication methods Methods for redundantly storing data on multiple nodes
|Multi-Source deployments with MongoDB Atlas Global Clusters
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
|Eventual Consistency can be individually decided for each read operation
Immediate Consistency default behaviour
|Foreign keys Referential integrity
|no typically not used, however similar functionality with DBRef possible
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|Multi-document ACID Transactions with snapshot isolation
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|yes optional, enabled by default
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|yes In-memory storage engine introduced with MongoDB version 3.2
|User concepts Access control
|Access rights for users and roles
|yes, based on authentication and database rules
|More information provided by the system vendor
|MongoDB provides an integrated suite of cloud database and data services to accelerate...
|Speedb is an embedded key-value storage engine for versatile use cases. It was designed...
|Built around the flexible document data model and unified API, MongoDB is a developer...
|Speedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
|Typical application scenarios
|AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
|ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
|Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
|Licensing and pricing models
|MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
|Open source - Speedb OSS is released under an Apache license and can be found on...
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services
|CData: Connect to Big Data & NoSQL through standard Drivers.
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
Studio 3T: The world's favorite IDE for working with MongoDB
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|DB-Engines blog posts
Snowflake is the DBMS of the Year 2021
|Recent citations in the news
Health Check: How Prudently Does MongoDB (NASDAQ:MDB) Use Debt?
MongoDB, Inc. (NASDAQ:MDB) Shares Acquired by Envestnet Asset Management Inc.
Will MongoDB (MDB) Beat Estimates Again in Its Next Earnings Report?
MongoDB (MDB) Rises Higher Than Market: Key Facts
provided by Google News
The Incredible Performance & Power Efficiency Of AMD Zen 1 vs. Zen 4C Review
Watch out RocksDB – Speedb is on your key:value case – Blocks and Files
Speedb Picks Up Where RocksDB Leaves Off
Speedb Snaps up $4m and Launches on Redis to Reveal New Data Engine Technology
provided by Google News
Introducing SurrealDB: A Quantum Leap in Database Technology
Cloud, privacy and AI: Trends defining the future of data and databases
SurrealDB raises $6M for its database-as-a-service offering
Huckletree to open two new London hubs
SurrealDB: Open source scalable graph database has big potential
provided by Google News
Share this page