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DBMS > MongoDB vs. Riak TS vs. RocksDB vs. Splice Machine vs. Tkrzw

System Properties Comparison MongoDB vs. Riak TS vs. RocksDB vs. Splice Machine vs. Tkrzw

Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonRiak TS  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeTime Series DBMSKey-value storeRelational DBMSKey-value store
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
Score421.08
Rank#5  Overall
#1  Document stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitewww.mongodb.comrocksdb.orgsplicemachine.comdbmx.net/­tkrzw
Technical documentationwww.mongodb.com/­docs/­manualwww.tiot.jp/­riak-docs/­riak/­ts/­latestgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperMongoDB, IncOpen Source, formerly Basho TechnologiesFacebook, Inc.Splice MachineMikio Hirabayashi
Initial release20092015201320142020
Current release6.0.7, June 20233.0.0, September 20229.2.1, May 20243.1, March 20210.9.3, August 2020
License infoCommercial or Open 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 SourceOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)nononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++JavaC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
LinuxLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeschema-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.schema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialnonoyesno
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 indexesyesrestrictednoyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes, limitednoyesno
APIs and other access methodsGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
HTTP API
Native Erlang Interface
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesActionscript 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 infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptErlangnoyes infoJavano
Triggersyes infoin MongoDB Atlas onlyyes infopre-commit hooks and post-commit hooksyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.Shardinghorizontal partitioningShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
selectable replication factoryesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infolinks between datasets can be storednoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yesyesyes infousing specific database classes
User concepts infoAccess controlAccess rights for users and rolesnonoAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
MongoDBRiak TSRocksDBSplice MachineTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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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More resources
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