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DBMS > HBase vs. JSqlDb vs. Microsoft Azure Cosmos DB vs. Sequoiadb vs. WakandaDB

System Properties Comparison HBase vs. JSqlDb vs. Microsoft Azure Cosmos DB vs. Sequoiadb vs. WakandaDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonJSqlDb  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSequoiadb  Xexclude from comparisonWakandaDB  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableJavaScript Query Language Database, stores JavaScript objects and primitivesGlobally distributed, horizontally scalable, multi-model database serviceNewSQL database with distributed OLTP and SQLWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelWide column storeDocument store
Object oriented DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Relational DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score27.71
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitehbase.apache.orgjsqldb.org (offline)azure.microsoft.com/­services/­cosmos-dbwww.sequoiadb.comwakanda.github.io
Technical documentationhbase.apache.org/­book.htmllearn.microsoft.com/­azure/­cosmos-dbwww.sequoiadb.com/­en/­index.php?m=Files&a=indexwakanda.github.io/­doc
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKonrad von BackstromMicrosoftSequoiadb Ltd.Wakanda SAS
Initial release20082018201420132012
Current release2.3.4, January 20210.8, December 20182.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourcecommercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, JavaScript
Server operating systemsLinux
Unix
Windows infousing Cygwin
Linux
macOS
Windows
hostedLinuxLinux
OS X
Windows
Data schemeschema-free, schema definition possibleschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROnoyes infoJSON typesyes infooid, date, timestamp, binary, regexyes
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 indexesnonoyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query languageno
APIs and other access methodsJava API
RESTful HTTP API
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
proprietary protocol using JSONRESTful HTTP API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
JavaScript.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C++
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyes infoCoprocessors in Javafunctions in JavaScriptJavaScriptJavaScriptyes
TriggersyesnoJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoImplicit feature of the cloud serviceSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)Multi-item ACID transactions with snapshot isolation within a partitionDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights can be defined down to the item levelsimple password-based access controlyes

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More resources
HBaseJSqlDbMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSequoiadbWakandaDB
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