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DBMS > Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Raima Database Manager

System Properties Comparison Datomic vs. Microsoft Azure Synapse Analytics vs. NSDb vs. Raima Database Manager

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityElastic, 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 KubernetesRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.46
Rank#259  Overall
#120  Relational DBMS
#22  Time Series DBMS
Websitewww.datomic.comazure.microsoft.com/­services/­synapse-analyticsnsdb.ioraima.com
Technical documentationdocs.datomic.comdocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecturedocs.raima.com
DeveloperCognitectMicrosoftRaima Inc.
Initial release2012201620171984
Current release1.0.6735, June 202315, June 2021
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++Java, ScalaC
Server operating systemsAll OS with a Java VMhostedLinux
macOS
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 infoExporting/Importing of XML structures possible
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLnoyesSQL-like query languageyes
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
Java
C#
Java
PHP
Java
Scala
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresyes infoTransaction FunctionsTransact SQLnoyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding, horizontal partitioningShardinghorizontal partitioning
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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesUsing 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 developmentyes
User concepts infoAccess controlnoyesno
More information provided by the system vendor
DatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbRaima Database Manager infoformerly named db_Vista
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
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Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
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Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
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Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
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Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
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Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
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News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatomicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDbRaima Database Manager infoformerly named db_Vista
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