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DBMS > BigObject vs. Datastax Enterprise vs. Realm vs. Sequoiadb

System Properties Comparison BigObject vs. Datastax Enterprise vs. Realm vs. Sequoiadb

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonRealm  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesDataStax 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.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedWide column storeDocument storeDocument store
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score7.41
Rank#52  Overall
#8  Document stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitebigobject.iowww.datastax.com/­products/­datastax-enterpriserealm.iowww.sequoiadb.com
Technical documentationdocs.bigobject.iodocs.datastax.comrealm.io/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperBigObject, Inc.DataStaxRealm, acquired by MongoDB in May 2019Sequoiadb Ltd.
Initial release2015201120142013
Current release6.8, April 2020
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
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.
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.
Implementation languageJavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
OS X
Android
Backend: server-less
iOS
Windows
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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 indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
proprietary protocol using JSON
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresLuanono inforuns within the applications so server-side scripts are unnecessaryJavaScript
Triggersnoyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoAtomicity and isolation are supported for single operationsACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoIn-Memory realmno
User concepts infoAccess controlnoAccess rights for users can be defined per objectyessimple password-based access control
More information provided by the system vendor
BigObjectDatastax EnterpriseRealmSequoiadb
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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BigObjectDatastax EnterpriseRealmSequoiadb
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