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DBMS > CrateDB vs. Elasticsearch vs. LokiJS vs. MongoDB vs. SQream DB

System Properties Comparison CrateDB vs. Elasticsearch vs. LokiJS vs. MongoDB vs. SQream DB

Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonLokiJS  Xexclude from comparisonMongoDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDistributed Database based on LuceneA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricIn-memory JavaScript DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructurea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Search engineDocument storeDocument storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Vector DBMS
Spatial 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
Score0.76
Rank#226  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#18  Time Series DBMS
#8  Vector DBMS
Score134.79
Rank#7  Overall
#1  Search engines
Score0.52
Rank#259  Overall
#41  Document stores
Score424.53
Rank#5  Overall
#1  Document stores
Score0.72
Rank#235  Overall
#108  Relational DBMS
Websitecratedb.comwww.elastic.co/­elasticsearchgithub.com/­techfort/­LokiJSwww.mongodb.comsqream.com
Technical documentationcratedb.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmltechfort.github.io/­LokiJSwww.mongodb.com/­docs/­manualdocs.sqream.com
DeveloperCrateElasticMongoDB, IncSQream Technologies
Initial release20132010201420092017
Current release8.6, January 20236.0.7, June 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoElastic LicenseOpen SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial
Cloud-based only infoOnly available as a cloud servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageJavaJavaJavaScriptC++C++, CUDA, Haskell, Java, Scala
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeschema-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 dateyesyesnoyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyes infoAll search fields are automatically indexedyes infovia viewsyesno
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like query languagenoRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
Java API
RESTful HTTP/JSON API
JavaScript APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
.Net
JDBC
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
JavaScriptActionscript 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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)yesView functions in JavaScriptJavaScriptuser defined functions in Python
Triggersnoyes infoby using the 'percolation' featureyesyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectoryesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allnoneEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategynono infoatomic operations within a single collection possibleMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noMemcached and Redis integrationyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlrights management via user accountsnoAccess rights for users and roles
More information provided by the system vendor
CrateDBElasticsearchLokiJSMongoDBSQream DB
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
CrateDBElasticsearchLokiJSMongoDBSQream DB
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