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DBMS > Datomic vs. gStore vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Oracle Berkeley DB

System Properties Comparison Datomic vs. gStore vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisongStore  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA native Graph DBMS to store and maintain very large RDF datasets.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesWidely used in-process key-value store
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitewww.datomic.comen.gstore.cnazure.microsoft.com/­services/­synapse-analyticsnsdb.iowww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.datomic.comen.gstore.cn/­#/­enDocsdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperCognitectMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20122016201620171994
Current release1.0.7180, July 20241.2, November 202318.1.40, May 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoBSDcommercialOpen Source infoApache Version 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++Java, ScalaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAll OS with a Java VMLinuxhostedLinux
macOS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes: int, bigint, decimal, stringno
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.nonononoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIHTTP API
SPARQL 1.1
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
C++
Java
JavaScript (Node.js)
PHP
Python
C#
Java
PHP
Java
Scala
.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
Server-side scripts infoStored proceduresyes infoTransaction FunctionsyesTransact SQLnono
TriggersBy using transaction functionsnoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportedyesno

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More resources
DatomicgStoreMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbOracle Berkeley DB
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