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DBMS > BigObject vs. CrateDB vs. MongoDB vs. TimescaleDB

System Properties Comparison BigObject vs. CrateDB vs. MongoDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonCrateDB  Xexclude from comparisonMongoDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDistributed Date Store based on LuceneOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
Search engine
Document storeTime Series DBMS
Secondary database modelsDocument store
Time Series DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#315  Overall
#136  Relational DBMS
Score0.80
Rank#194  Overall
#95  Relational DBMS
#12  Search engines
Score488.22
Rank#5  Overall
#1  Document stores
Score3.24
Rank#93  Overall
#5  Time Series DBMS
Websitebigobject.iocrate.iowww.mongodb.comwww.timescale.com
Technical documentationdocs.bigobject.iocrate.io/­docsdocs.mongodb.com/­manualdocs.timescale.com
DeveloperBigObject, Inc.CrateMongoDB, IncTimescale
Initial release2015201320092017
Current release4.4.5, April 2021
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourceOpen 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 infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
All OS with a Java 7 (and higher) VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-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 dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes, but no triggers and constraintsRead-only SQL queries via the MongoDB Connector for BIyes infofull PostgreSQL SQL syntax
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET infocommunity maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
proprietary protocol using JSONADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesErlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
Ruby infocommunity maintained client
Scala infocommunity maintained client
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
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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresLuauser defined functionsJavaScriptuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Read Your Own Writes Consistency infofor primary key lookups
Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infounique row identifiers can be used for implementing an optimistic concurrency control strategyMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlnorights management via user accountsAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
BigObjectCrateDBMongoDBTimescaleDB
Specific characteristicsCrateDB is an open source distributed SQL database that spreads data and processing...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesCrateDB is typically used in operational analytics applications, particularly those...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosCrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
DevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersCrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
TransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsThe CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more
125 million downloads (growing at more than 30 thousand downloads per day), over...
» more
With over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsCrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
TimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» 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
BigObjectCrateDBMongoDBTimescaleDB
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