DBMS > MongoDB vs. SpatiaLite vs. Sqrrl
System Properties Comparison MongoDB vs. SpatiaLite vs. Sqrrl
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|Editorial information provided by DB-Engines|
|Name||MongoDB Xexclude from comparison||SpatiaLite Xexclude from comparison||Sqrrl Xexclude from comparison|
|Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.|
|Description||One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure||Spatial extension of SQLite||Adaptable, secure NoSQL built on Apache Accumulo|
|Primary database model||Document store||Spatial DBMS||Document store|
Wide column 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||MongoDB, Inc||Alessandro Furieri||Amazon originally Sqrrl Data, Inc.|
|Current release||6.0.1, August 2022||5.0.0, August 2020|
|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 MPL 1.1, GPL v2.0 or LGPL v2.1||commercial|
|Cloud-based only Only available as a cloud service||no MongoDB available as DBaaS (MongoDB Atlas)||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.|
|Server operating systems||Linux|
|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.||yes||schema-free|
|Typing predefined data types such as float or date||yes string, integer, double, decimal, boolean, date, object_id, geospatial||yes||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||Read-only SQL queries via the MongoDB Connector for BI||yes||no|
|APIs and other access methods||proprietary protocol using JSON||Accumulo Shell|
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
C using GLib
|Triggers||yes in MongoDB Atlas only||yes||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.||none||Sharding making use of Hadoop|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-Source deployments with MongoDB Atlas Global Clusters|
|none||selectable replication factor making use of Hadoop|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Immediate Consistency can be individually decided for each write operation
|Immediate Consistency Document store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.|
|Foreign keys Referential integrity||no typically not used, however similar functionality with DBRef possible||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||Multi-document ACID Transactions with snapshot isolation||ACID||Atomic updates per row, document, or graph entity|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes optional, enabled by default||yes||yes|
|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||yes|
|User concepts Access control||Access rights for users and roles||no||Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)|
More information provided by the system vendor
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