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DBMS > Apache Druid vs. GBase vs. Google Cloud Spanner vs. MongoDB vs. SQL.JS

System Properties Comparison Apache Druid vs. GBase vs. Google Cloud Spanner vs. MongoDB vs. SQL.JS

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGBase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonMongoDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructurePort of SQLite to JavaScript
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score421.65
Rank#5  Overall
#1  Document stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitedruid.apache.orgwww.gbase.cncloud.google.com/­spannerwww.mongodb.comsql.js.org
Technical documentationdruid.apache.org/­docs/­latest/­designcloud.google.com/­spanner/­docswww.mongodb.com/­docs/­manualsql.js.org/­documentation/­index.html
DeveloperApache Software Foundation and contributorsGeneral Data Technology Co., Ltd.GoogleMongoDB, IncAlon Zakai infoenhancements implemented by others
Initial release20122004201720092012
Current release29.0.1, April 2024GBase 8a, GBase 8s, GBase 8c6.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source
Cloud-based only infoOnly available as a cloud servicenonoyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonC++JavaScript
Server operating systemsLinux
OS X
Unix
LinuxhostedLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infoschema-less columns are supportedyesyesschema-free infoAlthough 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 infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingStandard with numerous extensionsyes infoQuery statements complying to ANSI 2011Read-only SQL queries via the MongoDB Atlas SQL Interfaceyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
C API
JDBC
ODBC
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
JavaScript API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#Go
Java
JavaScript (Node.js)
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
JavaScript
Server-side scripts infoStored proceduresnouser defined functionsnoJavaScriptno
Triggersnoyesnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infoPartitioned 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 infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication with 3 replicas for regional instances.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
none
Foreign keys infoReferential integritynoyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoStrict serializable isolationMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesno
More information provided by the system vendor
Apache DruidGBaseGoogle Cloud SpannerMongoDBSQL.JS
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache DruidGBaseGoogle Cloud SpannerMongoDBSQL.JS
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