DBMS > HarperDB vs. MongoDB vs. Typesense
System Properties Comparison HarperDB vs. MongoDB vs. Typesense
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|Editorial information provided by DB-Engines|
|Name||HarperDB Xexclude from comparison||MongoDB Xexclude from comparison||Typesense Xexclude from comparison|
|Description||Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity|
|Primary database model||Document store||Document store||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
|Current release||3.1, August 2021||6.0.5, March 2023|
|License Commercial or Open Source||commercial free community edition available||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 GPL V3|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Server operating systems||Linux|
|Data scheme||dynamic schema||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 pre-defined schema optional|
|Typing predefined data types such as float or date||yes JSON data types||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes|
|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|
|SQL Support of SQL||SQL-like data manipulation statements||Read-only SQL queries via the MongoDB Connector for BI||no|
|APIs and other access methods||JDBC|
RESTful HTTP/JSON API
|proprietary protocol using JSON||RESTful HTTP API|
|Supported programming languages||.Net|
|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
|.Net community maintained|
Clojure community maintained
Dart community maintained
Go community maintained
Java community maintained
Perl community maintained
Rust community maintained
Swift community maintained
|Triggers||no||yes in MongoDB Atlas only|
|Partitioning methods Methods for storing different data on different nodes||A table resides as a whole on one (or more) nodes in a cluster||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||yes the nodes on which a table resides can be defined||Multi-Source deployments with MongoDB Atlas Global Clusters|
|Multi-source replication using RAFT|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Foreign keys Referential integrity||no||no typically not used, however similar functionality with DBRef possible||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Atomic execution of specific operations||Multi-document ACID Transactions with snapshot isolation||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes, using LMDB||yes optional, enabled by default||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes In-memory storage engine introduced with MongoDB version 3.2||yes|
|User concepts Access control||Access rights for users and roles||Access rights for users and roles|
|More information provided by the system vendor|
|Specific characteristics||MongoDB provides an integrated suite of cloud database and data services to accelerate...|
|Competitive advantages||Built around the flexible document data model and unified API, MongoDB is a developer...|
|Typical application scenarios||Internet of Things and Time Series (Bosch, GE Healthcare, Jaguar Land Rover) Mobile...|
|Key customers||ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...|
|Market metrics||365+ million downloads, over 150,000+ Atlas clusters provisioned every month handling...|
|Licensing and pricing models||MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...|
We invite representatives of system vendors to contact us for updating and extending the system information,
|Related products and services|
|3rd parties||Studio 3T: The world's favorite IDE for working with MongoDB|
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.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
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