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DBMS > Adabas vs. Couchbase vs. Datastax Enterprise vs. Microsoft Azure Synapse Analytics vs. Valentina Server

System Properties Comparison Adabas vs. Couchbase vs. Datastax Enterprise vs. Microsoft Azure Synapse Analytics vs. Valentina Server

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseDataStax 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerObject-relational database and reports server
Primary database modelMultivalue DBMSDocument storeWide column storeRelational DBMSRelational DBMS
Secondary database modelsKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score17.30
Rank#36  Overall
#5  Document stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.couchbase.comwww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­services/­synapse-analyticswww.valentina-db.net
Technical documentationdocs.couchbase.comdocs.datastax.comdocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSoftware AGCouchbase, Inc.DataStaxMicrosoftParadigma Software
Initial release19712011201120161999
Current releaseServer: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20236.8, April 20205.7.5
License infoCommercial or Open SourcecommercialOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
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 languageC, C++, Go and ErlangJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
Linux
OS X
hostedLinux
OS X
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesSQL-like DML and DDL statements (CQL); Spark SQLyesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesNatural.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
PHP
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresin NaturalFunctions and timers in JavaScript and UDFs in Java, Python, SQL++noTransact SQLyes
Triggersnoyes infovia the TAP protocolyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaAutomatic ShardingSharding infono "single point of failure"Sharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replication infoincluding cross data center replication
Source-replica replication
configurable replication factor, datacenter aware, advanced replication for edge computingyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoEphemeral bucketsyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.Access rights for users can be defined per objectyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"Couchbase infoOriginally called MembaseDatastax EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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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Adabas infodenotes "adaptable data base"Couchbase infoOriginally called MembaseDatastax EnterpriseMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseValentina Server
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