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DBMS > Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. Rockset vs. Sequoiadb

System Properties Comparison Microsoft Azure Synapse Analytics vs. Oracle Berkeley DB vs. Rockset vs. Sequoiadb

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDBNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeDocument store
Relational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.comwww.sequoiadb.com
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleRocksetSequoiadb Ltd.
Initial release2016199420192013
Current release18.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availablecommercialOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C++C++
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hostedLinux
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnodynamic typingyes 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.noyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINsSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP RESTproprietary protocol using JSON
Supported programming languagesC#
Java
PHP
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresTransact SQLnonoJavaScript
Triggersnoyes infoonly for the SQL APInono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesno
User concepts infoAccess controlyesnoAccess rights for users and organizations can be defined via Rockset consolesimple password-based access control

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseOracle Berkeley DBRocksetSequoiadb
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