DBMS > Badger vs. MongoDB vs. STSdb
System Properties Comparison Badger vs. MongoDB vs. STSdb
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|Editorial information provided by DB-Engines|
|Name||Badger Xexclude from comparison||MongoDB Xexclude from comparison||STSdb Xexclude from comparison|
|Description||An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||Key-Value Store with special method for indexing optimized for high performance using a special indexing method|
|Primary database model||Key-value store||Document store||Key-value store|
|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
|Developer||DGraph Labs||MongoDB, Inc||STS Soft SC|
|Current release||6.0.1, August 2022||4.0.8, September 2015|
|License Commercial or Open Source||Open Source Apache 2.0||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 GPLv2, commercial license available|
|Cloud-based only Only available as a cloud service||no||no MongoDB available as DBaaS (MongoDB Atlas)||no|
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|Server operating systems||BSD|
|Data scheme||schema-free||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.||yes|
|Typing predefined data types such as float or date||no||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes primitive types and user defined types (classes)|
|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||no||Read-only SQL queries via the MongoDB Connector for BI||no|
|APIs and other access methods||proprietary protocol using JSON||.NET Client API|
|Supported programming languages||Go||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
|Triggers||no||yes in MongoDB Atlas only||no|
|Partitioning methods Methods for storing different data on different nodes||none||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.||none|
|Replication methods Methods for redundantly storing data on multiple nodes||none||Multi-Source deployments with MongoDB Atlas Global Clusters|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes||no|
|Consistency concepts Methods to ensure consistency in a distributed system||none||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||no||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||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.||no||yes In-memory storage engine introduced with MongoDB version 3.2|
|User concepts Access control||no||Access rights for users and roles||no|
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