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DBMS > BigObject vs. Realm vs. RocksDB vs. SingleStore

System Properties Comparison BigObject vs. Realm vs. RocksDB vs. SingleStore

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonRealm  Xexclude from comparisonRocksDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitebigobject.iorealm.iorocksdb.orgwww.singlestore.com
Technical documentationdocs.bigobject.iorealm.io/­docsgithub.com/­facebook/­rocksdb/­wikidocs.singlestore.com
DeveloperBigObject, Inc.Realm, acquired by MongoDB in May 2019Facebook, Inc.SingleStore Inc.
Initial release2015201420132013
Current release9.4.0, June 20248.5, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen SourceOpen Source infoBSDcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Go
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Backend: server-less
iOS
Windows
LinuxLinux info64 bit version required
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infobut no triggers and foreign keys
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
C++ API
Java API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Go
Java
Perl
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresLuano inforuns within the applications so server-side scripts are unnecessarynoyes
Triggersnoyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmyesyes
User concepts infoAccess controlnoyesnoFine grained access control via users, groups and roles

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More resources
BigObjectRealmRocksDBSingleStore infoformer name was MemSQL
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