DBMS > MongoDB vs. OpenSearch vs. OpenTSDB vs. QuestDB vs. Sphinx
System Properties Comparison MongoDB vs. OpenSearch vs. OpenTSDB vs. QuestDB vs. Sphinx
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Name | MongoDB Xexclude from comparison | OpenSearch Xexclude from comparison | OpenTSDB Xexclude from comparison | QuestDB Xexclude from comparison | Sphinx Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure | A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene | Scalable Time Series DBMS based on HBase | A high performance open source SQL database for time series data | Open source search engine for searching in data from different sources, e.g. relational databases | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Document store | Search engine | Time Series DBMS | Time Series DBMS | Search engine | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Spatial DBMS 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 | Vector DBMS | Relational DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.mongodb.com | github.com/opensearch-project opensearch.org | opentsdb.net | questdb.io | sphinxsearch.com | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.mongodb.com/docs/manual | opensearch.org/docs/latest | opentsdb.net/docs/build/html/index.html | questdb.io/docs | sphinxsearch.com/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | MongoDB, Inc | Amazon Web Services | currently maintained by Yahoo and other contributors | QuestDB Technology Inc | Sphinx Technologies Inc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2009 | 2021 | 2011 | 2014 | 2001 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 6.0.7, June 2023 | 2.5.0, January 2023 | 3.5.1, February 2023 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | Open Source LGPL | Open Source Apache 2.0 | Open Source GPL version 2, commercial licence available | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no MongoDB available as DBaaS (MongoDB Atlas) | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | C++ | Java | Java | Java (Zero-GC), C++, Rust | C++ | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | Linux OS X Solaris Windows | All OS with a Java VM | Linux Windows | Linux macOS Windows | FreeBSD Linux NetBSD OS X Solaris Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | 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. | schema-free Flexible type definitions. Once a type is defined, it is persistent | schema-free | yes schema-free via InfluxDB Line Protocol | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes string, integer, double, decimal, boolean, date, object_id, geospatial | yes | numeric data for metrics, strings for tags | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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. | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes | yes All search fields are automatically indexed | no | no | yes full-text index on all search fields | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | Read-only SQL queries via the MongoDB Atlas SQL Interface | SQL-like query language | no | SQL with time-series extensions | SQL-like query language (SphinxQL) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | GraphQL HTTP REST Prisma proprietary protocol using JSON | Java API RESTful HTTP/JSON API | HTTP API Telnet API | HTTP REST InfluxDB Line Protocol (TCP/UDP) JDBC PostgreSQL wire protocol | Proprietary protocol | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | Actionscript unofficial driver C C# C++ Clojure unofficial driver ColdFusion unofficial driver D unofficial driver Dart unofficial driver Delphi unofficial driver Erlang Go Groovy unofficial driver Haskell Java JavaScript Kotlin Lisp unofficial driver Lua unofficial driver MatLab unofficial driver Perl PHP PowerShell unofficial driver Prolog unofficial driver Python R unofficial driver Ruby Rust Scala Smalltalk unofficial driver Swift | Go Java JavaScript (Node.js) PHP Python Ruby Elasticsearch client | Erlang Go Java Python R Ruby | C PostgreSQL driver C++ Go Java JavaScript (Node.js) Python Rust over HTTP | C++ unofficial client library Java Perl unofficial client library PHP Python Ruby unofficial client library | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | JavaScript | yes | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes in MongoDB Atlas only | yes by using the 'percolation' feature | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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. | Sharding | Sharding based on HBase | horizontal partitioning (by timestamps) | Sharding Partitioning is done manually, search queries against distributed index is supported | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | Multi-Source deployments with MongoDB Atlas Global Clusters Source-replica replication | yes | selectable replication factor based on HBase | Source-replica replication with eventual consistency | none | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | yes | no | no | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency can be individually decided for each read operation Immediate Consistency default behaviour | Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all | Immediate Consistency based on HBase | Immediate Consistency | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no typically not used, however similar functionality with DBRef possible | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | Multi-document ACID Transactions with snapshot isolation | no | no | ACID for single-table writes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes optional, enabled by default | yes | yes | yes | yes The original contents of fields are not stored in the Sphinx index. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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 | no | yes through memory mapped files | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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MongoDB | OpenSearch | OpenTSDB | QuestDB | Sphinx | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Specific characteristics | MongoDB provides an integrated suite of cloud database and data services to accelerate... » more | OpenSearch is a highly scalable and extensible open-source software suite for search,... » more | Relational model with native time series support Column-based storage and time partitioned... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Competitive advantages | Built around the flexible document data model and unified API, MongoDB is a developer... » more | Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch... » more | High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typical application scenarios | AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of... » more | The OpenSearch platform is used across a broad range of search , analytics, and observability... » more | Financial tick data Industrial IoT Application Metrics Monitoring » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Key customers | ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,... » more | Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,... » more | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Market metrics | Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Licensing and pricing models | MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses... » more | The OpenSearch Project offers open source software licensed under Apache License... » more | Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
News | QuestDB 8.0: Major Release QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse Build your own resource monitor with QuestDB and Grafana Does "vpmovzxbd" Scare You? Here's Why it Doesn't Have To Create an ADS-B flight radar with QuestDB and a Raspberry Pi | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Related products and services | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3rd parties | Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development. » more CData: Connect to Big Data & NoSQL through standard Drivers. » more Studio 3T: The world's favorite IDE for working with MongoDB » more | Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
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More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MongoDB | OpenSearch | OpenTSDB | QuestDB | Sphinx | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | Snowflake is the DBMS of the Year 2021 PostgreSQL is the DBMS of the Year 2020 PostgreSQL is the DBMS of the Year 2018 | Time Series DBMS are the database category with the fastest increase in popularity | The DB-Engines ranking includes now search engines Why MongoDB Plunged Over 35% in May MongoDB First Quarter 2025 Earnings: Beats Expectations Looking Into MongoDB's Recent Short Interest - MongoDB (NASDAQ:MDB) Should You Buy MongoDB, Snowflake, and Atlassian at Their 52-Week Lows? Why MongoDB Plunged Over 35% in May provided by Google News Amazon OpenSearch Ingestion now supports ingesting streaming data from Amazon MSK Serverless - AWS OCI Search with OpenSearch 2.11 delivers easy access to latest AI innovations Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3 | Amazon ... Amazon OpenSearch Service now supports OpenSearch version 2.13 - AWS AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service provided by Google News Pinterest Switches from OpenTSDB to Their Own Time Series Database Brain Monitoring with Kafka, OpenTSDB, and Grafana Comparing Different Time-Series Databases MapR to help admins peer into dense Hadoop clusters LogicMonitor Rolls a Time Series Database for Finer-Grain Reporting provided by Google News Kubernetes Annotations: Harnessing Power in Operator Development QuestDB snares $12M Series A with hosted version coming soon SQL Extensions for Time-Series Data in QuestDB Aquis Exchange goes live with QuestDB for real time monitoring MindsDB Announces Over 70 Data Integrations, Becomes Fastest Growing Applied ML Platform provided by Google News Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose Manticore is a Faster Alternative to Elasticsearch in C++ Perplexity AI: From Its Use To Operation, Everything You Need To Know About Google's Newest Challenger The Pirate Bay was recently down for over a week due to a DDoS attack How to Build 600+ Links in One Month provided by Google News |
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