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DBMS > Databend vs. Datastax Enterprise vs. GeoSpock vs. MongoDB vs. RDF4J

System Properties Comparison Databend vs. Datastax Enterprise vs. GeoSpock vs. MongoDB vs. RDF4J

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonGeoSpock  Xexclude from comparisonMongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Spatial and temporal data processing engine for extreme data scaleOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSWide column storeRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Time Series DBMSSpatial 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
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score421.65
Rank#5  Overall
#1  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.datastax.com/­products/­datastax-enterprisegeospock.comwww.mongodb.comrdf4j.org
Technical documentationdocs.databend.comdocs.datastax.comwww.mongodb.com/­docs/­manualrdf4j.org/­documentation
DeveloperDatabend LabsDataStaxGeoSpockMongoDB, IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2021201120092004
Current release1.0.59, April 20236.8, April 20202.0, September 20196.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen 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 infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonoyesno 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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
  • 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.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageRustJavaJava, JavascriptC++Java
Server operating systemshosted
Linux
macOS
Linux
OS X
hostedLinux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-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 infoRDF Schemas
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.nonono
Secondary indexesnoyestemporal, categoricalyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLANSI SQL for query only (using Presto)Read-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBCGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
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
Java
PHP
Python
Server-side scripts infoStored proceduresnononoJavaScriptyes
Triggersnoyesnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Automatic shardingSharding 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 nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynononono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesno infoAtomicity and isolation are supported for single operationsnoMulti-document ACID Transactions with snapshot isolationACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptional, enabled by defaultyes infoin-memory storage is supported as well
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 3.2
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights for users can be defined per objectAccess rights for users can be defined per tableAccess rights for users and rolesno
More information provided by the system vendor
DatabendDatastax EnterpriseGeoSpockMongoDBRDF4J infoformerly known as Sesame
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsAnnual subscription
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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DatabendDatastax EnterpriseGeoSpockMongoDBRDF4J infoformerly known as Sesame
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